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Price: EUR 150.00Authors: P, Elayaraja | S, Kumarganesh | Sagayam, K. Martin | J, Andrew
Article Type: Research Article
Abstract: BACKGROUND: Cervical malignancy is considered among the most perilous cancers affecting women in numerous East African and South Asian nations, both in terms of its prevalence and fatality rates. OBJECTIVE: This research aims to propose an efficient automated system for the segmentation of cancerous regions in cervical images. METHODS: The proposed techniques encompass preprocessing, feature extraction with an optimized feature set, classification, and segmentation. The original cervical image undergoes smoothing using the Gaussian Filter technique, followed by the extraction of Local Binary Pattern (LBP) and Grey Level Co-occurrence Matrix (GLCM) features from the …enhanced cervical images. LBP features capture pixel relationships within a mask window, while GLCM features quantify energy metrics across all pixels in the images. These features serve to distinguish normal cervical images from abnormal ones. The extracted features are optimized using Genetic Algorithm (GA) as an optimization method, and the optimized sets of features are classified using the Co-Active Adaptive Neuro-Fuzzy Inference System (CANFIS) classification method. Subsequently, a morphological segmentation technique is employed to categorize irregular cervical images, identifying and segmenting malignant regions within them. RESULTS: The proposed approach achieved a sensitivity of 99.09%, specificity of 99.39%, and accuracy of 99.36%. CONCLUSION: The proposed approach demonstrated superior performance compared to state-of-the-art techniques, and the results have been validated by expert radiologists. Show more
Keywords: Cervical cancer, gaussian filter, features, optimization, genetic algorithm, classification
DOI: 10.3233/THC-230926
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-17, 2024
Authors: Darshan, B.S. Dhruva | Sampathila, Niranjana | Bairy, Muralidhar G. | Belurkar, Sushma | Prabhu, Srikanth | Chadaga, Krishnaraj
Article Type: Research Article
Abstract: BACKGROUND: Anaemia is a commonly known blood illness worldwide. Red blood cell (RBC) count or oxygen carrying capability being insufficient are two ways to describe anaemia. This disorder has an impact on the quality of life. If anaemia is detected in the initial stage, appropriate care can be taken to prevent further harm. OBJECTIVE: This study proposes a machine learning approach to identify anaemia from clinical markers, which will help further in clinical practice. METHODS: The models are designed with a dataset of 364 samples and 12 blood test attributes. The developed algorithm …is expected to provide decision support to the clinicians based on blood markers. Each model is trained and validated on several performance metrics. RESULTS: The accuracy obtained by the random forest, K nearest neighbour, support vector machine, Naive Bayes, xgboost, and catboost are 97%, 98%, 95%, 95%, 98% and 97% respectively. Four explainers such as Shapley Additive Values (SHAP), QLattice, Eli5 and local interpretable model-agnostic explanations (LIME) are explored for interpreting the model predictions. CONCLUSION: The study provides insights into the potential of machine learning algorithms for classification and may help in the development of automated and accurate diagnostic tools for anaemia. Show more
Keywords: Clinical markers, decision support, explainable artificial intelligence, machine learning
DOI: 10.3233/THC-231207
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Alshehhi, Talib | Ayesh, Aladdin | Yang, Yingjie | Chen, Feng
Article Type: Research Article
Abstract: BACKGROUND: The term ‘dementia’ covers a range of progressive brain diseases from which many elderly people suffer. Traditional cognitive and pathological tests are currently used to detect dementia, however, applications using Artificial Intelligence (AI) methods have recently shown improved results from improved detection accuracy and efficiency. OBJECTIVE: This research paper investigates the efficacy of one type of data analytics called supervised learning to detect Alzheimer’s disease (AD) – a common dementia condition. METHODS: The aim is to evaluate cognitive tests and common biological markers (biomarkers) such as cerebrospinal fluid (CSF) to develop predictive …classification systems for dementia detection. RESULTS: A data analytics process has been proposed, implemented, and tested against real data obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) repository. CONCLUSION: The models showed good power in predicting AD levels, notably from specified cognitive tests’ scores and tauopathy related features. Show more
Keywords: Alzheimer’s disease, biomarkers, data analytics, dementia, medical screening
DOI: 10.3233/THC-220598
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024
Authors: Yu, Cai-Cha | Jiao, Yan | Wang, Jia-Jia | Zhao, Xiao-Si | Chen, Lei
Article Type: Research Article
Abstract: BACKGROUND: Endometrial receptivity is crucial for the establishment of a healthy pregnancy outcome. Previous research on endometrial receptivity primarily examined endometrial thickness, endometrial echo types, and endometrial blood supply. OBJECTIVE: To explore the differences in the elastic modulus of the endometrium in women with various pregnancy outcomes by real-time shear wave elastography (SWE) and to investigate its application value in evaluation of endometrial receptivity. METHODS: A total of 205 pregnant women who were admitted at Wenzhou People’s Hospital between January 2021 and December 2022 were selected. Three-dimensional transvaginal sonography and real-time shear wave …elastography were performed in the proliferative phase and receptive phase of the endometrium, and the average elastic modulus of the endometrium in the two phases was obtained and compared. According to whether the pregnancy was successful or not, the participants were divided into the pregnancy group (n = 72) and non-pregnancy group (n = 133), and the differences in intimal thickness, 3D blood flow parameters, and average elastic modulus of intima were compared between the two groups. RESULTS: The average elastic modulus of the endometrium in the proliferative phase and receptive phase was (23.92 ± 2.31) kPa and (11.82 ± 2.24) kPa, respectively, and the difference was statistically significant P < 0.05. The average elastic modulus of the endometrium in the pregnancy group and non-pregnancy group was (9.97 ± 1.08) kPa and (12.82 ± 2.06) kPa, respectively, and the difference was statistically significant P < 0.05. The area under the curve of predicting pregnancy by the average elastic modulus of the endometrium in the receptive phase was 0.888 (0.841∼ 0.934), with corresponding P value < 0.05. The critical value was 11.15, with a corresponding sensitivity of 81.7% and specificity of 78.2%. CONCLUSION: Real-time shear wave elastography can quantitatively evaluate endometrial elasticity, indirectly reflect the endometrial phase, and provide a new diagnostic concept for evaluating endometrial receptivity and predicting pregnancy outcome in infertile patients. Show more
Keywords: Elastic modulus value, endometrial receptivity, real-time shear wave elastography
DOI: 10.3233/THC-231106
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-8, 2024
Authors: Zeeshan, Tayyaba | Qamar, Zeeshan | Abdul, Nishath Sayed | Soman, Cristalle | Bamousa, Badr | Marrapodi, Maria Maddalena | Cicciù, Marco | Minervini, Giuseppe
Article Type: Research Article
Abstract: BACKGROUND: Commercially available oral rinses contain active ingredients with concentration that is claimed by manufacturers to be effective as antiplaque agent. To date there has been no mention of the effect of oral rinse on the adherence of early plaque colonizers in plaque formation and the concentration to be used before/after meals. OBJECTIVE: The chief aim of the study was to evaluate microbial retention on the salivary pellicle on treatment with oral rinses (CHX & EO)/PS (mimicking after meals use of mouth wash/PS). METHODS: Noordini’s Artifical Mouth model was used for developing the …single species biofilm with early microbial colonizers of oral biofilm (A. viscosus , Strep. mitis and Strep. sanguinis respectively). The microbial retention on use of oral rinses comprising of CHX and EO as an active ingredients respectively was compared with Curcumin PS. For evaluating the microbial retention, the pellicle with microbial inoculation was developed on the glass beads in the mouth model. Subsequently the respective single specie biofilm was exposed to the mouth wash and PS after inoculation. It mimicked as use of mouth wash/PS after meals. The bacterial count in the dental biofilm was evaluated on serial dilution (CFU/ml). Sterile deionized water was used as a negative control. For qualitative analysis, Scanning electron microscope (SEM) was used to evaluate the microbial count. RESULTS: From the data it was observed that for the treatment of single species experimental biofilm with commercially available mouth rinses (CHX & EO) and PS (curcumin), there was significant retention for S.mitis , S.sanguinis and A.viscosus . There was no significant difference observed between PS and CHX treated single species biofilm. Whereas a significant difference was observed between EO treated biofilms and CHX/PS treated biofilms (p ⩽ 0.05). CONCLUSION: It can be concluded from the results that curcumin PS and CHX should not be used after meals whereas EO containing mouth rinse can be used to maintain the oral mocroflora. Show more
Keywords: Bacterial retention, essential oils, chlorhexidine gluconate, curcumin photosensitizer
DOI: 10.3233/THC-231814
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2024
Authors: Muniasamy, Anandhavalli | Begum, Arshiya | Sabahath, Asfia | yaqub, Humara | Karunakaran, Gauthaman
Article Type: Research Article
Abstract: BACKGROUND: Coronary heart disease (CHD) is one of the deadliest diseases and a risk prediction model for cardiovascular conditions is needed. Due to the huge number of features that lead to heart problems, it is often difficult for an expert to evaluate these huge features into account. So, there is a need of appropriate feature selection for the given CHD dataset. For early CHD detection, deep learning modes (DL) show promising results in the existing studies. OBJECTIVE: This study aimed to develop a deep convolution neural network (CNN) model for classification with a selected number of …efficient features using the LASSO (least absolute shrinkage and selection operator) technique. Also, aims to compare the model with similar studies and analyze the performance of the proposed model using accuracy measures. METHODS: The CHD dataset of NHANES (National Health and Nutritional Examination Survey) was examined with 49 features using LASSO technique. This research work is an attempt to apply an improved CNN model for the classification of the CHD dataset with huge features CNN model with feature extractor consists of a fully connected layer with two convolution 1D layers, and classifier part consists of two fully connected layers with SoftMax function was trained on this dataset. Metrics like accuracy recall, specificity, and ROC were used for the evaluation of the proposed model. RESULTS: The feature selection was performed by applying the LASSO model. The proposed CNN model achieved 99.36% accuracy, while previous studies model achieved over 80 to 92% accuracy. CONCLUSION: The application of the proposed CNN with the LASSO model for the classification of CHD can speed up the diagnosis of CHD and appears to be effective in predicting cardiovascular disease based on risk features. Show more
Keywords: Coronary heart disease, deep learning, machine learning, LASSO, convolutional neural network
DOI: 10.3233/THC-231807
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-17, 2024
Authors: Bečić, Ervina | Salihović, Mirsada | Tüzün, Burak | Omeragić, Elma | Imamović, Belma | Dedić, Mirza | Roca, Sunčica | Špirtović-Halilović, Selma
Article Type: Research Article
Abstract: BACKGROUND: Computational research plays an important role in predicting the chemical and physical properties of biologically active compounds important in future structural modifications to improve or modify biological activity. OBJECTIVE: This research focuses on quantum chemical and spectroscopic investigations properties of synthesized 4-hydroxycoumarin derivatives. METHODS: Quantum chemical calculations were obtained using B3LYP, HF, and M06-2x level methods with the 6-31++G (d,p) basis set. Afterward, IR, 1 H, 13 C, UV-Visible experimentally parameters were compared with the results obtained using the B3LYP/6-31+G*(d) basis set of the …molecules to be able to characterize the structures. RESULTS: Based on the quantum chemical calculations compound with acetamido group on the phenyl ring is the most reactive, and compound with nitro substituent is the least reactive and the the strongest electrophile among tested compounds. With the exception of compounds with dimethylamino group, all other compounds have a pronounced tautomer between between OH and C = O group. The calculated and experimental values are in agreement with each other. CONCLUSION: The molecular structure in the ground state of six 3-cinnamoyl 4-hydroxycoumarin derivatives was optimized using density functional theory. The observed and computed values were compared and it can be concluded that the theoretical results were in good linear agreement with the experimental data. Show more
Keywords: Density functional theory (DFT), coumarin derivatives, quantum chemical calculations
DOI: 10.3233/THC-231798
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2024
Authors: Feng, Ruigang | Huang, Wenwen | Liu, Bowen | Li, Dan | Zhao, Jinlai | Yu, Yue | Cao, Xuchen | Wang, Xin
Article Type: Research Article
Abstract: BACKGROUND: The effective treatment of breast cancer in elderly patients remains a major challenge. OBJECTIVE: To construct a nomogram affecting the overall survival of triple-negative breast cancer (TNBC) and establish a survival risk prediction model. METHODS: A total of 5317 TPBC patients with negative expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) who were diagnosed and received systematic treatment from 2010 to 2015 were collected from the American Cancer Surveillance, Epidemiology and End Results (SEER) database. They were randomly divided into training set (n = …3721) and validation set (n = 1596). Univariate and multivariate Cox regression analysis were used to identify prognostic features, and a nomogram was established to predict the probability of 1-year, 3-year and 5-year OS and BCSS. We used consistency index (C-index), calibration curve, area under the curve (AUC) and decision curve analysis (DCA) to evaluate the predictive performance and clinical utility of the nomogram. RESULTS: The C-indices of the nomograms for OS and BCSS in the training cohort were 0.797 and 0.825, respectively, whereas those in the validation cohort were 0.795 and 0.818, respectively. The receiver operating characteristic (ROC) curves had higher sensitivity at all specificity values as compared with the Tumor Node Metastasis (TNM) system. The calibration plot revealed a satisfactory relationship between survival rates and predicted outcomes in both the training and validation cohorts. DCA demonstrated that the nomogram had clinical utility when compared with the TNM staging system. CONCLUSION: This study provides information on population-based clinical characteristics and prognostic factors for patients with triple-negative breast cancer, and constructs a reliable and accurate prognostic nomogram. Show more
Keywords: Triple negative breast cancer, nomogram, overall survival, breast cancer-specific survival, SEER database
DOI: 10.3233/THC-231240
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-17, 2024
Authors: Luschi, Alessio
Article Type: Letter
DOI: 10.3233/THC-231784
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-3, 2024
Authors: Tekeli, Seçkin Özgür | Köse, Özkan | Yapar, Dilek | Tekeli, Feyza Yağmur | Asoğlu, Mehmet Melih | Kartal, Emre Mücahit
Article Type: Research Article
Abstract: BACKGROUND: The extent of the association between vitamin D deficiency and knee osteoarthritis remains inadequately understood. OBJECTIVE: This study aimed to elucidate the relationship between vitamin D levels and knee osteoarthritis through a cross-sectional analysis. METHODS: This retrospective study involved an analysis of knee radiographs and serum 25-hydroxyvitamin D3 (25-(OH) vitamin D3) levels in a cohort of 3424 individuals (2901 women and 523 men). Knee osteoarthritis severity was evaluated using the Kellgren-Lawrence radiological scoring system. RESULTS: Of the participants, 49.2% (n = 1,683) were diagnosed …with knee osteoarthritis. Among these patients, the levels of adjusted 25-(OH) vitamin D3 were significantly lower (p < 0.001). Regression analysis revealed a significant association between vitamin D deficiency and knee osteoarthritis, with an adjusted odds ratio (OR) of 1.7 (95% CI: 1.5–2.0; p < 0.001). Notably, a stronger association was observed between vitamin D deficiency and knee osteoarthritis in women under 65 compared to those aged 65 and above. CONCLUSIONS: The findings of this study indicate a higher prevalence of vitamin D deficiency in patients with knee osteoarthritis. Maintaining adequate serum 25-(OH) vitamin D3 levels may prevent knee osteoarthritis, especially in women below 65. Show more
Keywords: Vitamin D, knee, osteoarthritis, female sex, biomedical imaging, elderly healthcare, orthopedic surgery
DOI: 10.3233/THC-230802
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Wu, Mingzhen | Luan, Jixin | Zhang, Di | Fan, Hua | Qiao, Lishan | Zhang, Chuanchen
Article Type: Research Article
Abstract: BACKGROUND: Histopathological evaluation is currently the gold standard for grading gliomas; however, this technique is invasive. OBJECTIVE: This study aimed to develop and validate a diagnostic prediction model for glioma by employing multiple machine learning algorithms to identify risk factors associated with high-grade glioma, facilitating the prediction of glioma grading. METHODS: Data from 1114 eligible glioma patients were obtained from The Cancer Genome Atlas (TCGA) database, which was divided into a training set (n = 781) and a test set (n = 333). …Fifty machine learning algorithms were employed, and the optimal algorithm was selected to construct a prediction model. The performance of the machine learning prediction model was compared to the clinical prediction model in terms of discrimination, calibration, and clinical validity to assess the performance of the prediction model. RESULTS: The area under the curve (AUC) values of the machine learning prediction models (training set: 0.870 vs. 0.740, test set: 0.863 vs. 0.718) were significantly improved from the clinical prediction models. Furthermore, significant improvement in discrimination was observed for the Integrated Discrimination Improvement (IDI) (training set: 0.230, test set: 0.270) and Net Reclassification Index (NRI) (training set: 0.170, test set: 0.170) from the clinical prognostic model. Both models showed a high goodness of fit and an increased net benefit. CONCLUSION: A strong prediction accuracy model can be developed using machine learning algorithms to screen for high-grade glioma risk predictors, which can serve as a non-invasive prediction tool for preoperative diagnostic grading of glioma. Show more
Keywords: Glioma, machine learning, prediction model, grading, risk predictors
DOI: 10.3233/THC-231645
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2023
Authors: Dedić, Mirza | Omeragić, Elma | Imamović, Belma | Bilajac, Esma | Mahmutović, Lejla | Glamočlija, Una | Bečić, Ervina
Article Type: Research Article
Abstract: BACKGROUND: Preclinical drug testing requires in vitro and in vivo assessments that are vital for studying drug pharmacokinetics and toxicity. Distinct factors that play an important role in drug screening, such as hydrophobicity, solubility of the substance and serum protein binding can be challenging by inducing result inconsistencies. Hence, establishing accurate methods to quantify drug concentrations in cell cultures becomes pivotal for reliable and reproducible results important for in vivo dosing predictions. OBJECTIVE: This research focuses on developing an optimized analytical approach via high-pressure liquid chromatography (HPLC) to determine thymoquinone (TQ) levels in …monolayer cell cultures. METHODS: The method’s validation adheres to the International Council for Harmonisation (ICH) guideline M10, ensuring its acceptance and applicability. Using an HPLC system with a Diode Array Detector (DAD), the study fine-tuned various parameters to achieve an efficient separation of TQ. Validation covered specificity, sensitivity, matrix effects, linearity, precision, and accuracy, alongside assessing TQ stability in RPMI-1640 medium. RESULTS: The HPLC method exhibited remarkable TQ specificity, free from interfering peaks at the analyte retention. Sensitivity analysis at the lower limit of quantification (LLOQ) revealed 5.68% %CV and 98.37% % mean accuracy. Matrix effect evaluation showcased accuracy within 85–115%. Linearity spanned in the concentration range of 2–10 μ M with a correlation coefficient (r 2 ) of 0.9993. Precision and accuracy were aligned with acceptance criteria. The proposed method was found to be greener in terms of usage of persistent, bioaccumulative, and toxic chemicals and solvents, corrosive samples, and waste production. CONCLUSION: The developed HPLC-DAD method emerges as specific, accurate, sensitive, and reliable for TQ determination in cell cultures. It ensures robust TQ quantification, enhancing precise in vitro assessments and dependable dosing predictions for in vivo studies. Further research is advocated to investigate TQ’s stability across diverse environmental conditions. Show more
Keywords: Method validation, RPMI-1640, thymoquinone concentration determination
DOI: 10.3233/THC-231432
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Wang, Wenhong | Zhang, Zhenbo | Xia, Fenbo
Article Type: Review Article
Abstract: BACKGROUND: Mechanical ventilation (MV) is a crucial intervention for the support of patients with acute and severe respiratory failure in modern intensive care medicine. However, the mechanical forces resulting from the interplay between the ventilator and the respiratory system may cause pulmonary injury. OBJECTIVE: To compare the effects of high-flow nasal cannula (HFNC) therapy and other oxygen therapy modalities on the risk of endotracheal reintubation in mechanically ventilated patients after extubation in the intensive care unit (ICU). METHODS: An electronic search was carried out across various databases including PubMed, Embase, Ovid, Medline, Cochrane …Library, Embase, VIP, and Wanfang. The objective of this search was to locate prospective randomized controlled trials that examined the effects of multiple oxygen therapy approaches on the incidence of reintubation in patients in the ICU after undergoing mechanical ventilation. The meta package in R language was used to analyze parameters adopted by the included studies such as reintubation rate, mortality rate, and length of hospital stay. RESULTS: This study enrolled 22 articles, involving 4,160 participants, with 2,061 in the study group and 2,099 in the control group. Among these, 20 articles presented data on the reintubation rate of the patients included with an odds ratio (OR) of 0.90 (95% CI: 0.74, 1.09) for HFNC and an OR of 1.77 (95% CI: 0.93, 3.38) for HFNC in the chronic obstructive pulmonary disease (COPD) subgroup. Moreover, 10 articles assessed the incidence of respiratory failure after extubation, revealing an OR for HFNC was 0.68 (95% CI: 0.55, 0.84) using a fixed-effects model. Nine articles addressed ICU mortality, while 13 pieces of literature examined hospital mortality. HFNC showed no significant impact on either ICU mortality or hospital mortality. CONCLUSION: HFNC therapy markedly reduces the incidence of respiratory failure in mechanically ventilated patients following extubation in the ICU. Furthermore, it specifically reduces the risk of reintubation in patients diagnosed with COPD. Show more
Keywords: Mechanical ventilation, intensive care unit, high-flow nasal cannula, respiratory failure, mortality rate
DOI: 10.3233/THC-231024
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Li, Jiahao
Article Type: Research Article
Abstract: BACKGROUND: The main goal of sports science is to monitor sports injuries. Nevertheless, the existing sports injury monitoring projects have many expensive instruments and excessively extended monitoring periods, which makes it difficult to expand sports injury monitoring on a large scale. OBJECTIVE: The advancement of machine learning algorithms opens up new avenues for the tracking of sports injuries. METHODS: A training set of sports injuries was created using the Discrete Wavelet Transform (DWT) and Random Forest algorithms. Next, a basic analytic framework was created based on the lower-body movement of runners, and an …athlete’s injury likelihood monitoring system was established. First off, the wearable gyroscope device can efficiently plot the motion displacement curve and monitor the three-dimensional mechanics of the athlete’s hips, thighs, and calves. Secondly, the system has a higher computational efficiency and an advantage over other classifier-based systems in terms of testing and training times RESULTS: The suggested system framework identifies athletes’ injury propensity, providing preventive recommendations based on displacement curves, and offering a low total cost and high testing accuracy, making it easy to implement and cost-effective. CONCLUSION: All things considered, the sports injury monitoring device is very accurate and reasonably priced, making it appropriate for widespread use. Show more
Keywords: Discrete wavelet transform, random forest algorithm, three-dimensional mechanics, gyroscope, computational efficiency
DOI: 10.3233/THC-231789
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-15, 2024
Authors: Huizinga, Maarten R. | de Vries, Astrid J. | Verkerke, G.J. | Brouwer, Reinoud W.
Article Type: Research Article
Abstract: BACKGROUND: Given the increasing numbers of young patients with knee osteoarthritis there is a need for treatments that can postpone a joint prosthesis (total knee replacement). OBJECTIVE: As an alternative to the effective yet invasive knee joint distraction procedure, a knee orthosis was developed aiming to unload the affected knee and improving synovial fluid flow. The aim of this study was to examine the effectiveness of using a load-reducing orthosis for two months on functioning, pain, and disease progression (e.g. amount of damaged cartilage) in patients with symptomatic osteoarthritis of the knee for at least one …year. METHODS: This is an interventional single-center pilot study. Ten patients with symptomatic osteoarthritis of one knee (5 males/5 females; median age 57; age range 42–59) used a custom-made orthosis for 60 days during daily life activities that involved knee loading (e.g. standing, walking, but not during stair climbing). Cycling was not allowed. Clinical outcomes were assessed up to 24 months after intervention at 6 timepoints using patient reported-outcome measures Western Ontario and McMaster Universities Osteoarthritis (WOMAC) range 0–100; Visual Analogue Scale (VAS), range 0–100 for pain. Minimum joint space width (mJSW) was assessed using knee images digital analysis (KIDA) and articular cartilage volume with magnetic resonance imaging (MRI) using custom software at baseline and at 12 and 24 months follow-up. RESULTS: Clinically beneficial effects were found for functioning (WOMAC improvement compared to baseline ranged between 18 points at 3 months follow-up and 31 points at 12 months follow-up, with only the 24-months follow-up (improvement of 27 points) not reaching statistical significance (p < 0.05)) and for pain (VAS improvement compared to baseline at follow-up time points ranged between 41–56 points; all p < 0.05). No improvements in mJSW- or MRI-derived parameters were found. CONCLUSION: This study demonstrates that use of a custom-made knee-unloading orthosis for 60 days can result in improved functional ability and decrease in pain in relatively young patients with knee osteoarthritis. No effect on disease progression could be evidenced. Show more
Keywords: Knee osteoarthritis, orthosis, patient reported outcome measures, cartilage, joint space width, MRI
DOI: 10.3233/THC-230953
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2023
Authors: Pan, Wan | Zhou, Yan | Ji, Yueping | Zhou, Lianfang | Wang, Li
Article Type: Research Article
Abstract: OBJECTIVE: In order to improve nursing quality management and protect patient medical safety, it is necessary to change the default mode and completely integrate information technology and nursing quality control utilising lean management. METHODS: A database was created, the nurse quality control scoring standard was entered into the computer and after the inspection, and various inspection reports were entered into the computer to precisely and promptly preserve data. The computer was then utilised to precisely assess the intensity and quality of nursing work, compute, count, and analyse the stored data, output the quality of nursing work …in each department as a report, and adopt lean management for the gathered issues. RESULTS: To reach the objective of raising nursing quality, data analysis makes it simple to identify flaws and consistently strengthen the weak points. In order to create an information-based nursing quality control system with a simple and effective method as well as results that are scientific and objective, lean management is brought into the construction process. Show more
Keywords: Lean management, information based nursing quality control system, experience
DOI: 10.3233/THC-230730
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Zhu, Li-Jun | Lin, Hui | Wu, Xiao-Tong | Shi, Shao-Hua | Qiao, Xi
Article Type: Research Article
Abstract: BACKGROUND: Diarrhea is a prevalent complication after renal transplantation. OBJECTIVE: To examine the risk factors for diarrhea after renal transplantation, evaluate their combined predictive values, and analyze the prognosis. METHODS: Clinical data of patients who underwent allogeneic renal transplantation in the Second People’s Hospital of Shanxi Province from January 2019 to March 2020 were retrospectively analyzed, cases were screened and grouped, independent risk factors for diarrhea after renal transplantation were analyzed by univariate analysis and multivariate analysis, and their predictive value was evaluated by receiver operating characteristic (ROC) curve. The survival time of …recipient grafts in diarrhea and non-diarrhea groups were evaluated by Kaplan-Meier and log-rank test. RESULTS: We included 166 recipients in the study and the incidence of diarrhea was 25.9%; univariate and logistic regression multivariate analyses revealed that independent risk factors for diarrhea in recipients were that the type of renal transplant donor was DCD (donation after circulatory death), immunity induction was onducted with basiliximab + antithymocyte globulin (ATG), and ATG alone, the type of mycophenolic acid (MPA) used was mycophenolate mofetil capsules, and delayed graft function (DGF) occurred after transplantation. The ROC curve indicated that the combination of the four factors had good accuracy in predicting the occurrence of diarrhea in recipients. The graft survival rate two years after the operation in the diarrhea group was significantly lower than that in the non-diarrhea group. CONCLUSION: Diarrhea affected the two-year survival rate of the graft. The type of donor, immunity induction scheme, and the type of MPA and DGF were independent risk factors for diarrhea in recipients, and the combination of the four factors had good prognostic prediction value. Show more
Keywords: Delayed graft function, diarrhea, mycophenolic acid, renal transplantation, type of donor
DOI: 10.3233/THC-230579
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2024
Authors: Maheshkumar, Hima | Meenakshi, Srinivasa Iyer | Rao, Shyla Dureja, Raghunath Nagasundara | Shivakumar, Ganiga Channaiah | Marrapodi, Maria Maddalena | Cervino, Gabriele | Minervini, Giuseppe
Article Type: Research Article
Abstract: BACKGROUND: Polymethyl methacrylate (PMMA) is a commonly used denture base material, but susceptibility to fracture under functional loading remains a challenge. OBJECTIVE: This preliminary screening study aims to investigate the potential of sericin and fibroin as reinforcing agents in the PMMA denture base material. METHODS: The flexural and impact strengths of PMMA incorporated with 0.01% sericin, and 0.01% each of sericin and fibroin, were evaluated. The control group consisted of PMMA without any additives. The maximum load and energy required to break the samples were measured. Statistical analysis was performed using one-way ANOVA …test and Scheffe Post Hoc tests to compare mean values between subgroups. RESULTS: The results indicated significant improvement in the flexural and impact strengths of PMMA with the addition of sericin and fibroin. The subgroups with 0.01% sericin, and 0.01% each of sericin and fibroin, demonstrated higher mean values in load and energy measurements compared to the control group. The statistical analysis confirmed the significance of these findings. CONCLUSION: The addition of 0.01% sericin and 0.01% each of sericin and fibroin to PMMA denture-based resin material significantly increases its flexural and impact strengths. These preliminary findings suggest the potential of sericin and fibroin as effective reinforcing agents in PMMA denture base materials, thereby enhancing their biomechanical properties. Show more
Keywords: PMMA, denture base material, sericin, fibroin, flexural strength, impact strength, reinforcing agents
DOI: 10.3233/THC-231772
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Netto, Ann Nita | Abraham, Lizy | Philip, Saji
Article Type: Research Article
Abstract: BACKGROUND: Cardiac diseases are highly detrimental illnesses, responsible for approximately 32% of global mortality [1]. Early diagnosis and prompt treatment can reduce deaths caused by cardiac diseases. In paediatric patients, it is challenging for paediatricians to identify functional murmurs and pathological murmurs from heart sounds. OBJECTIVE: The study intends to develop a novel blended ensemble model using hybrid deep learning models and softmax regression to classify adult, and paediatric heart sounds into five distinct classes, distinguishing itself as a groundbreaking work in this domain. Furthermore, the research aims to create a comprehensive 5-class paediatric phonocardiogram (PCG) …dataset. The dataset includes two critical pathological classes, namely atrial septal defects and ventricular septal defects, along with functional murmurs, pathological and normal heart sounds. METHODS: The work proposes a blended ensemble model (HbNet-Heartbeat Network) comprising two hybrid models, CNN-BiLSTM and CNN-LSTM, as base models and Softmax regression as meta-learner. HbNet leverages the strengths of base models and improves the overall PCG classification accuracy. Mel Frequency Cepstral Coefficients (MFCC) capture the crucial audio signal characteristics relevant to the classification. The amalgamation of these two deep learning structures enhances the precision and reliability of PCG classification, leading to improved diagnostic results. RESULTS: The HbNet model exhibited excellent results with an average accuracy of 99.72% and sensitivity of 99.3% on an adult dataset, surpassing all the existing state-of-the-art works. The researchers have validated the reliability of the HbNet model by testing it on a real-time paediatric dataset. The paediatric model’s accuracy is 86.5%. HbNet detected functional murmur with 100% precision. CONCLUSION: The results indicate that the HbNet model exhibits a high level of efficacy in the early detection of cardiac disorders. Results also imply that HbNet has the potential to serve as a valuable tool for the development of decision-support systems that aid medical practitioners in confirming their diagnoses. This method makes it easier for medical professionals to diagnose and initiate prompt treatment while performing preliminary auscultation and reduces unnecessary echocardiograms. Show more
Keywords: Blended ensemble, mel frequency cepstral coefficient, meta-learner, phonocardiogram, softmax regression
DOI: 10.3233/THC-231290
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-21, 2024
Authors: Sun, Yi | Ren, Tao | Ji, Xueli
Article Type: Research Article
Abstract: BACKGROUND: Currently, cerebral infarction (CI) is mainly treated by emergency craniotomy or conservative treatment. However, some studies have questioned the functional recovery of patients after hyperbaric oxygen therapy (HBOT)-specialized care. OBJECTIVE: This paper mainly explores the influence of HBOT-specialized care on limb motor function (LMF) and mental state of CI patients with hemiplegia. METHODS: The medical records of 113 CI patients with hemiplegia treated in our hospital from March 2020 to March 2022 were collected. Of these, 53 received routine care nursing (conventional group) and 60 cases were given HBOT-specialized care (research group). …Patient general data, scores of Fugl-Meyer Assessment (FMA), National Institutes of Health Stroke Scale (NIHSS), Self-rating Anxiety/Depression Scale (SAS/SDS) and Barthel Index (BI), and nursing efficiency were comparatively analyzed. RESULTS: The two groups showed comparability in general data. FMA and BI scores were increased in the research group after rehabilitation treatment, higher than the baseline and those of the conventional group, while NIHSS, SAS, and SDS scores were reduced, lower compared with baseline and those of the conventional group. In addition, significantly higher nursing efficiency was determined in the research group. CONCLUSION: HBOT-specialized care has beneficial effects on LMF, mental state, negative emotions and self-care ability of CI patients with hemiplegia and can enhance nursing efficacy, which deserves clinical popularization. Show more
Keywords: Hyperbaric oxygen therapy-specialized care, hyperbaric oxygen, cerebral infarction, motor function, mental state
DOI: 10.3233/THC-231643
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Maheshwaran, Bipin | Chokkatt, Jerry Joe | Shenoy, Amrutha | Ganapathy, Dhanraj | Yadalam, Pradeep Kumar | Marrapodi, Maria Maddalena | Cicciù, Marco | Minervini, Giuseppe
Article Type: Research Article
Abstract: BACKGROUND: Titanium nanoparticles (NPs) offer promising applications in the treatment and prevention of inflammatory disorders due to their unique physicochemical characteristics. However, additional research is necessary to attain a thorough comprehension and validate the efficacy of this approach in dental practice. OBJECTIVE: This study scrutinizes the anti-inflammatory properties of a dental varnish infused with ginger and rosemary extracts mediated by titanium dioxide (TiO2) nanoparticles. METHODS: A herbal dental varnish was formulated by integrating ginger and rosemary extracts with titanium dioxide nanoparticles at concentrations of 10, 20, 30, 40, and 50 μ L. …Anti-inflammatory properties were assessed through Bovine Serum Albumin denaturation and membrane stabilization assays, comparing results with a control group. RESULTS: The results reveal concentration-dependent antioxidant and anti-inflammatory properties in the test group when compared to the control group. The BSA assay corroborates increased percent inhibition with rising titanium dioxide nanoparticle concentrations. In line with existing literature, titanium dioxide nanoparticles enhance dental material properties. CONCLUSION: The bioactive compounds in ginger and rosemary, such as phenolic compounds and terpenes, contribute to anti-inflammatory and antioxidant effects of the varnish. Additionally, the therapeutic potential of titanium dioxide nanoparticles in addressing inflammatory diseases underscores their significance in this formulation. Show more
Keywords: Preventive dentistry, nanoparticles, titanium dioxide, green synthesis, antioxidant
DOI: 10.3233/THC-231994
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Huang, Yu | Wu, Mei | Li, Jian-Di | Qin, Zhen | Huang, Ke-Qiang | Cui, Jin-Zhu | Ou, Hai-Ling
Article Type: Research Article
Abstract: BACKGROUND: Vesicle-associated membrane protein 7 (VAMP7) plays oncogenic roles in cancers. However, its clinical significance in breast cancer (BC) tissues remains unknown. OBJECTIVE: To elucidate the clinical implications of VAMP7, as well as its involvement in the tumor microenvironment and molecular pathways of breast cancer. METHODS: BC (n = 100) and non-cancerous breast tissues (n = 100) were collected for an immunohistochemical experiment (1:200). The protein expression level of VAMP7 was determined by using a semi-quantitative scoring method. High-throughput RNA-sequencing data of BC tissues …were analyzed to confirm the mRNA expression trend of VAMP7. Additionally, the largest BC prognosis cohort data were collected to mine the potential impact VAMP7 has on BC progression. The association between VAMP7 and the microenvironment of BC was evaluated by using a CIBERSORT algorithm. Moreover, we explored the co-expressed molecular mechanisms of VAMP7 in BC by calculating Pearson correlation coefficients and overexpressed genes. Finally, the biological mechanism underlying the relationship between VAMP7 and the key pathways was also explored using gene set enrichment analysis (GSEA). Potential therapeutic strategies were predicted targeting VAMP7. RESULTS: VAMP7 protein was significantly over-expressed in BC tissue than that in controls (p < 0.001). Compared with 459 normal breast tissues and 113 non-cancerous breast tissues, the expression level of VAMP7 mRNA was significantly increased in 1111 BC tissues. CD 4 +T cells, macrophages, and naïve B cells had a higher infiltration rate in BC tissues with high VAMP7 expression, while regulatory T cells and CD 8 +T cells had a lower infiltration rate. Over-expressed VAMP7 was associated with macrophages activation and transition from M1 to M2 polarization. Upregulated VAMP7 could predicted poorer OS, DMFS, PPS, and RFS outcomes. Upregulated VAMP7 co-expressed genes were significantly enriched in the cell cycle checkpoints. GSEA confirmed that over-expressed VAMP7 are markedly associated with functional enrichment in cell cycle related categories, including mitotic spindle, G2M checkpoint, and E2F targets. KU-55933 was predicted as a putative therapeutic drug for BC targeting VAMP7. CONCLUSIONS: VAMP7 was upregulated in BC tissue and correlated with poor prognosis of BC patients. VAMP7 may promote BC progression by targeting the cell cycle pathway. Show more
Keywords: Breast cancer, vesicle-associated membrane protein 7, immunohistochemistry, molecular mechanisms
DOI: 10.3233/THC-230832
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-17, 2024
Authors: Rogers, Nathan | Rullán, Pedro J. | Pasqualini, Ignacio | Khan, Shujaa T. | Klika, Alison K. | Surace, Peter A. | Molloy, Robert M. | Piuzzi, Nicolas S. | Bloomfield, Michael
Article Type: Research Article
Abstract: BACKGROUND: The value of robotic-assisted total hip arthroplasty (rTHA) has yet to be determined compared to conventional manual THA (mTHA). OBJECTIVE: Evaluate 90-day inpatient readmission rates, rates of reoperation, and clinically significant improvement of patient-reported outcome measures (PROMs) at 1-year in a cohort of patients who underwent mTHA or rTHA through a direct anterior (DA) approach. METHODS: A single-surgeon, prospective institutional cohort of 362 patients who underwent primary THA for osteoarthritis via the DA approach between February 2019 and November 2020 were included. Patient demographics, surgical time, discharge disposition, length of stay, acetabular …cup size, 90-day inpatient readmission, 1-year reoperation, and 1-year PROMs were collected for 148 manual and 214 robotic THAs, respectively. RESULTS: Patients undergoing rTHA had lower 90-day readmission (3.74% vs 9.46%, p = 0.04) and lower 1-year reoperation (0.93% vs 4.73% mTHA, p = 0.04). rTHA acetabular cup sizes were smaller (rTHA median 52, interquartile range [IQR] 50; 54, mTHA median 54, IQR 52; 58, p < 0.001). Surgical time was longer for rTHA (114 minutes vs 101 minutes, p < 0.001). At 1-year post-operatively, there was no difference in any of the PROMs evaluated. CONCLUSION: Robotic THA demonstrated lower 90-day readmissions and 1-year reoperation rates than manual THA via the DA approach. PROMs were not significantly different between the two groups at one year. Show more
Keywords: THA, direct anterior approach, HOOS, satisfaction, value of robotics
DOI: 10.3233/THC-231646
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
Authors: Kasiviswanathan, Sivachandar | Vijayan, Thulasi Bai
Article Type: Research Article
Abstract: BACKGROUND: Artificial Intelligence (AI) plays a pivotal role in the diagnosis of health conditions ranging from general well-being to critical health issues. In the realm of health diagnostics, an often overlooked but critical aspect is the consideration of cost-sensitive learning, a facet that this study prioritizes over the non-invasive nature of the diagnostic process whereas the other standard metrics such as accuracy and sensitivity reflect weakness in error profile. OBJECTIVE: This research aims to investigate the total cost of misclassification (Total Cost) by decision rule Machine Learning (ML) algorithms implemented in Java platforms such as DecisionTable, …JRip, OneR, and PART. An augmented dataset with conjunctiva images along candidates’ demographic and anthropometric features under supervised learning is considered with a specific emphasis on cost-sensitive classification. METHODS: The opted decision rule classifiers use the text features, additionally the image feature ‘a* value of CIELAB color space’ extracted from the conjunctiva digital images as input attributes. The pre-processing consists of amalgamating text and image features on a uniform scale, normalizing. Then the 10-fold cross-validation enables the classification of samples into two categories: the presence or absence of the anemia. This study utilizes the Cost Ratio (ρ ) extracted from the cost matrix to meticulously monitor the Total Cost in four different cost ratio methodologies namely Uniform (U), Uniform Inverted (UI), Non-Uniform (NU), and Non-Uniform Inverted (NUI). RESULTS: It has been established that the PART classifier stands out as the top performer in this binary classification task, yielding the lowest mean total cost of 629.9 compared to other selected classifiers. Moreover, it demonstrates a comparatively lower standard deviation 335.9, and lower total cost across all four different cost ratio methodologies. The ranking of algorithm performance goes as follows: PART, JRIP, DecisionTable, and OneR. CONCLUSION: The significance of adopting a cost-sensitive learning approach is emphasized showing the PART classifier’s consistent performance within the proposed framework for learning the anemia dataset. This emphasis on cost-sensitive learning not only enhances the recommendations in diagnosis but also holds the potential for substantial cost savings and makes it a noteworthy focal point in the advancement of AI-driven health care. Show more
Keywords: Cost matrix, cost ratio, cost sensitive classifier, decision rule classifier, DecisionTable, JRip, OneR, PART
DOI: 10.3233/THC-231946
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-21, 2024
Authors: Wang, Luo | Li, Xin | Dong, Xue-Juan | Yu, Xiao-Ling | Zhang, Jing | Cheng, Zhi-Gang | Han, Zhi-Yu | Liu, Fang-Yi | Yu, Jie | Liang, Ping
Article Type: Research Article
Abstract: BACKGROUND: Several international practice guidelines have recommended local ablation as the first-line treatment for early-stage hepatocellular carcinoma (HCC). OBJECTIVE: This study aims to investigate the synergetic anti-tumor impact of dendritic cell-cytokine killer (DC-CIK) combined with microwave ablation (MWA) for HCC. METHODS: This retrospective study included 1,141 patients from the American Joint Committee on Cancer stage I-II HCC, who were treated with therapeutic MWA. The immunotherapy group encompassing 40 patients received additional immunotherapy with DC-CIK, whereas the control group consisting of 1,101 patients was treated with MWA alone. Propensity score matching (PSM) with ratio …of 1:3 was employed to balance selection bias. The oncological outcome and immune status were measured after combination therapy. RESULTS: The immunotherapy group patients exhibited significant longer disease-free survival (DFS, primary HCC: p = 0.036; recurrent HCC: p = 0.026). For patients with primary HCC, the recurrence frequency was reduced (p = 0.002), and recurrence interval (19 months vs. 9 months, p < 0.001) was prolonged in the immunotherapy group. Subgroup analysis revealed that patients ⩽ 60 years old, moderately-differentiated HCC, or co-infected with Hepatitis B Virus (HBV) had a significant benefit over DFS in the immunotherapy group. After combination therapy, the serum CD3+ (p = 0.049), CD8/CD28+ (p = 0.045) were elevated. CONCLUSION: Combination therapy with DC-CIK and MWA can significantly reduce the recurrence and prolong DFS, especially for patients ⩽ 60 years old or with moderately-differentiated HCC or co-infected with HBV. Show more
Keywords: Hepatocellular carcinoma, immunotherapy, ablation, dendritic cell, cytokine killer
DOI: 10.3233/THC-230871
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-16, 2024
Authors: Alhussaini, Khalid | Aleid, Adham | Alsadon, Omar | Aldohbeyb, Ahmed A. | Aljelaifie, Rakan | Javed, Ravish
Article Type: Research Article
Abstract: BACKGROUND: Adequate equipment maintenance is necessary to ensure efficient dental care facilities and satisfactory medical equipment performance. OBJECTIVE: This study aimed to assess maintenance practices and manpower adequacy in private dental centres (DCs) across Riyadh, Saudi Arabia. METHODS: A questionnaire was designed to evaluate equipment maintenance and manpower strength based on international and national standards. Thirty-three private DCs were visited in-person with the designed questionnaire to conduct the study. The Chi-square test and t -test were performed. RESULTS: Only 21 dental centres had a scheduled maintenance plan for …medical equipment, whereas the rest had no plan. Furthermore, only 22 DCs maintained equipment maintenance records, while 11 DCs did not have any records. Additionally, the study found a lack of trained personnel to handle medical equipment and overall inadequate maintenance practices. Significant differences were observed between the responses for many questions (p < 0.05). CONCLUSION: These findings increase health risks to both the patient and the user. To address these issues, DC administrators should implement stricter measures to adhere to local DCs standards and hire qualified personnel who can periodically maintain and repair medical equipment. Show more
Keywords: Medical devices, equipment readiness, patient safety, healthcare, manpower requirement, private dental center
DOI: 10.3233/THC-231177
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2024
Authors: Wang, Zhi | Xu, Lei | Sun, Lin | Jiang, Xin | Wang, Juan
Article Type: Research Article
Abstract: BACKGROUND: Coronary atherosclerotic heart disease (CAHD) is the leading cause of death in developed countries. OBJECTIVE: This study aimed to explore the correlation between the properties of coronary atherosclerotic plaque and blood lipids using computed tomography angiography (CTA). METHODS: A total of 83 patients with coronary heart disease were included in this study (males: 50; females: 33; average age: [59 ± 8] years old). They were classified into the stable angina group and unstable angina group. Atherosclerotic plaques were classified as fatty plaques (soft plaques), fibrous plaques, and calcified plaques …based on the computed tomography (CT) values. SPSS 17.0 statistical software was used to analyze the correlation between the properties of angina and the CT values of atherosclerotic plaques, blood lipids, and plaque properties, and then compared between the stable and unstable angina groups. RESULTS: There were statistically significant differences in plaque properties between the stable and unstable angina groups (P < 0.001). During CTA examination, we found statistically significant differences in the CT density values of atherosclerotic plaques between the stable and unstable angina groups (P < 0.001). There were statistically significant differences between the properties of angina and the level of blood lipids (P < 0.05). CONCLUSION: Anginal properties negatively correlated with calcified plaques and positively correlated with non-calcified plaques. Calcified plaques negatively correlated with total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG), and positively correlated with high-density lipoprotein cholesterol (HDL-C). Non-calcified plaques negatively correlated with HDL-C and positively correlated with TC, LDL-C, and TG. Show more
Keywords: Angina, atherosclerotic plaques, blood lipids, coronary artery, multi-slice spiral CT
DOI: 10.3233/THC-231036
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2024
Authors: Tomasevic, Smiljana | Anic, Milos | Arsic, Branko | Gakovic, Branko | Filipovic, Nenad | Djukic, Tijana
Article Type: Research Article
Abstract: BACKGROUND: Ultrasound is one of the non-invasive techniques that are used in clinical diagnostics of carotid artery disease. OBJECTIVE: This paper presents software methodology that can be used in combination with this imaging technique to provide additional information about the state of patient-specific artery. METHODS: Overall three modules are combined within the proposed methodology. A clinical dataset is used within the deep learning module to extract the contours of the carotid artery. This data is then used within the second module to perform the three-dimensional reconstruction of the geometry of the carotid bifurcation …and ultimately this geometry is used within the third module, where the hemodynamic analysis is performed. The obtained distributions of hemodynamic quantities enable a more detailed analysis of the blood flow and state of the arterial wall and could be useful to predict further progress of present abnormalities in the carotid bifurcation. RESULTS: The performance of the deep learning module was demonstrated through the high values of relevant common classification metric parameters. Also, the accuracy of the proposed methodology was shown through the validation of results for the reconstructed parameters against the clinically measured values. CONCLUSION: The presented methodology could be used in combination with standard clinical ultrasound examination to quickly provide additional quantitative and qualitative information about the state of the patient’s carotid bifurcation and thus ensure a treatment that is more adapted to the specific patient. Show more
Keywords: Convolutional neural networks, 3D reconstruction, blood flow, patient-specific geometry, validation against clinical data
DOI: 10.3233/THC-231306
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-22, 2024
Authors: Liu, Lili
Article Type: Research Article
Abstract: BACKGROUND: Osteoporosis is a medical disorder that causes bone tissue to deteriorate and lose density, increasing the risk of fractures. Applying Neural Networks (NN) to analyze medical imaging data and detect the presence or severity of osteoporosis in patients is known as osteoporosis classification using Deep Learning (DL) algorithms. DL algorithms can extract relevant information from bone images and discover intricate patterns that could indicate osteoporosis. OBJECTIVE: DCNN biases must be initialized carefully, much like their weights. Biases that are initialized incorrectly might affect the network’s learning dynamics and hinder the model’s ability to converge to …an ideal solution. In this research, Deep Convolutional Neural Networks (DCNNs) are used, which have several benefits over conventional ML techniques for image processing. METHOD: One of the key benefits of DCNNs is the ability to automatically Feature Extraction (FE) from raw data. Feature learning is a time-consuming procedure in conventional ML algorithms. During the training phase of DCNNs, the network learns to recognize relevant characteristics straight from the data. The Squirrel Search Algorithm (SSA) makes use of a combination of Local Search (LS) and Random Search (RS) techniques that are inspired by the foraging habits of squirrels. RESULTS: The method made it possible to efficiently explore the search space to find prospective values while using promising areas to refine and improve the solutions. Effectively recognizing optimum or nearly optimal solutions depends on balancing exploration and exploitation. The weight in the DCNN is optimized with the help of SSA, which enhances the performance of the classification. CONCLUSION: The comparative analysis with state-of-the-art techniques shows that the proposed SSA-based DCNN is highly accurate, with 96.57% accuracy. Show more
Keywords: Osteoporosis, classification, accuracy, optimization, bias, neural network, and squirrel search
DOI: 10.3233/THC-231517
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-19, 2024
Authors: Liu, Yining | Xu, Liming | Fang, Qiongyan | Rong, Hui | Zheng, Huaiyu
Article Type: Research Article
Abstract: BACKGROUND: Danshen Chuanxiong Injection (DCI) has demonstrated significant clinical efficacy in the treatment of acute pancreatitis (AP); however, the precise molecular mechanisms underlying its therapeutic effects remain incompletely understood. OBJECTIVE: In this study, we employed network pharmacology analysis to comprehensively investigate the active components, potential targets, and signaling pathways involved in DCI-mediated treatment of AP. METHODS: We utilized the mouse pancreatic acinar cell line 266-6 to establish an cholecystokinin (CCK)-induced AP cell injury model and evaluated cell viability using the Cell counting kit-8 assay. Western blotting and quantitative PCR were employed to determine …the expression levels of key target proteins and genes. RESULTS: Network pharmacology analysis identified a total of 144 active components and 430 potential targets within DCI. By integrating data from public databases, we identified 762 AP-related genes. Among these, we identified 93 potential targets that may be involved in the therapeutic effects of DCI for AP. These targets were significantly enriched in biological processes such as oxidative stress, regulation of cytokine production, leukocyte migration, and the TNF signaling pathway. Molecular docking studies revealed a high binding affinity between the active components and the key targets AKT1 and NFKBA, indicative of potential interaction. Additionally, CCK-induced acinar cell injury led to upregulation of AKT1, NFKBA, and P53 proteins, as well as TNF, IL6, and MMP9 genes. Conversely, treatment with DCI dose-dependently attenuated CCK-induced acinar cell injury and restored the expression levels of the aforementioned proteins and genes. CONCLUSION: Overall, this study provides a comprehensive understanding of the molecular mechanisms underlying the therapeutic effects of DCI in the treatment of AP. Our findings confirm the protective effect of DCI against CCK-induced acinar cell injury and its regulation of key targets. Show more
Keywords: Danshen Chuanxiongqin injection, acute pancreatitis, network pharmacology, acinar cells, molecular docking
DOI: 10.3233/THC-231086
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Yang, Wen | Chen, Yue
Article Type: Research Article
Abstract: BACKGROUND: Electronic coloscopy is an invasive procedure and achieving an ideal result can be challenging, leading to low intestinal cleanliness scores and a poor intestinal polyp positive rate. OBJECTIVE: (1) To demonstrate the impact of intensified nursing intervention on electronic colonoscopy. (2) To improve patients’ satisfaction with medical services related to intestinal cleanliness during preparation, the accuracy of the intestinal polyp-positive rate, and nursing. METHODS: Our study included 120 patients who underwent electronic coloscopy. These patients were randomly assigned to either the observation group or the control group, with 60 cases in each …group. Patients in the control group received conventional nursing intervention, which included face-to-face oral and written instructions. In addition to the conventional intervention, patients in the observation group received intensified guidance interventions, which included instructions via phone, as well as WeChat messages and pictures. RESULTS: The patients in the observation group who received intensified guidance interventions demonstrated better intestinal cleanliness during preparation compared to the control group (P < 0.05). Besides, the accuracy of the intestinal polyp positive rate was higher in the observation group than in the control group (P < 0.05). Finally, regarding patient satisfaction with the nursing service provided by the endoscopy center, the observation group had a higher level of satisfaction than the control group (P < 0.05). CONCLUSION: The intensified guidance interventions provided to patients undergoing electronic colonoscopy resulted in a significant improvement in intestinal cleanliness during preparation, as well as an increase in the accuracy of the intestinal polyp-positive rate and patient satisfaction with our nursing service. Therefore, we believe that these interventions are highly beneficial and should be promoted and applied in clinical settings. Show more
Keywords: Colonoscopy, nursing intervention, intestinal cleanliness, intestinal polyp positive rate, satisfaction with nursing service
DOI: 10.3233/THC-230774
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-7, 2024
Authors: Yang, Xin-Lei | Ni, Dong-He | Yu, Yang | Zhao, Jin-Cui | Lin, Rui | Xiu, Chao | Chang, Zhe-Xing
Article Type: Research Article
Abstract: BACKGROUND: Breast cancer has the second highest mortality rate of all cancers and occurs mainly in women. OBJECTIVE: To investigate the relationship between magnetic resonance imaging (MRI) radiomics features and histological grade of invasive ductal carcinoma (IDC) of the breast and to evaluate its diagnostic efficacy. METHODS: The two conventional MRI quantitative indicators, i.e. the apparent diffusion coefficient (ADC) and the initial enhancement rate, were collected from 112 patients with breast cancer. The breast cancer lesions were manually segmented in dynamic contrast-enhanced MRI (DCE-MRI) and ADC images, the differences in radiomics features between …Grades I, II and III IDCs were compared and the diagnostic efficacy was evaluated. RESULTS: The ADC values (0.77 ± 0.22 vs 0.91 ± 0.22 vs 0.92 ± 0.20, F = 4.204, p < 0.01), as well as the B_sum_variance (188.51 ± 67.803 vs 265.37 ± 77.86 vs 263.74 ± 82.58, F = 6.040, p < 0.01), L_energy (0.03 ± 0.02 vs 0.13 ± 0.11 vs 0.12 ± 0.14, F = 7.118, p < 0.01) and L_sum_average (0.78 ± 0.32 vs 16.34 ± 4.23 vs 015.45 ± 3.74, F = 21.860, p < 0.001) values of patients with Grade III IDC were significantly lower than those of patients with Grades I and II IDC. The B_uniform (0.15 ± 0.12 vs 0.11 ± 0.04 vs 0.12 ± 0.03, F = 3.797, p < 0.01) and L_SRE (0.85 ± 0.07 vs 0.78 ± 0.03 vs 0.79 ± 0.32, F = 3.024, p < 0.01) values of patients with Grade III IDC were significantly higher than those of patients with Grades I and II IDC. All differences were statistically significant (p < 0.05). The ADC radiomics signature model had a higher area-under-the-curve value in identifying different grades of IDC than the ADC value model and the DCE radiomics signature model (0.869 vs 0.711 vs 0.682). The accuracy (0.812 vs 0.647 vs 0.710), specificity (0.731 vs 0.435 vs 0.342), positive predictive value (0.815 vs 0.663 vs 0.669) and negative predictive value (0.753 vs 0.570 vs 0.718) of the ADC radiomics signature model were all significantly better than the ADC value model and the DCE radiomics signature model. CONCLUSION: ADC values and breast MRI radiomics signatures are significant in identifying the histological grades of IDC, with the ADC radiomics signatures having greater value. Show more
Keywords: Invasive ductal carcinoma, magnetic resonance imaging, radiomics, histological grading
DOI: 10.3233/THC-230671
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Al Ahmari, Nasser M. | Alshehri, Abdulkarim H. | Gadah, Thrya S. | Alqahtani, Jaber A. | Almushafi, Mohammed A. | Al Moaleem, Mohammed M. | Al Hatlan, Ebtisam N. | Alqhatani, Aliya S. | Alabydi, Shahad M.
Article Type: Research Article
Abstract: BACKGROUND: Endocrowns (ECs) are alternatives for rebuilding severely damaged teeth and show superior efficacy in molars over premolars. OBJECTIVE: The objective of this in vitro study is to evaluate the effects of different preparation designs with short pulp chambers on the mean color change (Δ E ), fracture resistance, and failure types of mandibular molar ECs. METHOD: A total of 40 extracted mandibular molars were treated endodontically and divided into four groups. Samples in groups 1, 2, 3, and 4 had occlusal preparation depths of 5 mm, 3 …mm, 3 mm with ferrule, and 3 mm with boxes, respectively. The samples were immersed in coffee and their Δ E values were measured by using the Commission Internationale de l’Eclairage color system. They were also subjected to a fracture test. Next, all specimens were examined visually under a stereomicroscope to evaluate their failure modes and identify their fracture origins. Data were entered and analyzed by using Statistical Package for Social Sciences. RESULTS: Among all groups, group 4 (3 mm + boxes) presented the highest Δ E (4.15) after immersion in coffee. Moreover, ANOVA revealed that the Δ E of group 4 (occlusal preparation depth of 3 mm with boxes) was significantly different (p < 0.05) from that of group 2 (3 mm + ferrule, 3.07). The EC with a 3 mm chamfer and ferrule showed the highest maximum load of 2847.68 ± 693.27 N, whereas that with a 5 mm chamfer finish line had a marginally reduced load at fracture of 2831.52 ± 881.83 N. The EC with a 3 mm chamber and boxes had a slightly increased maximum load of 2700.75 ± 436.40 N, whereas that with the 3 mm chamber had the lowest maximum load at fracture of 2385.97 ± 465.61 N. One-way ANOVA showed that different EC preparation designs had no effect on maximum fracture load (F [3,16] = 0.550, p = 0.6). CONCLUSION: The recorded Δ E values of ECs in all groups were equal or marginally higher than the acceptable values. The EC with a 3 mm chamfer and ferrule displayed the highest mean maximum load. The EC with a 5 mm chamfer finish line had a marginally lower maximum load at fracture than other ECs. Failures, such as ceramic fracture, split fracture, and ceramic and tooth splitting above the cemento–enamel junction (CEJ) or vertically were predominant in samples with occlusal preparation depths of 3 mm with ferrule and 5 mm. Show more
Keywords: Endocrown, color measurement, fracture strength, failure type, endocrown design
DOI: 10.3233/THC-231175
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2023
Authors: Wang, Gang | Zhang, Hao-Cheng | Zhang, Si-Jin | Yao, Yan-Yi | Zhao, Yan | Wang, Zeng | Zhang, Ting
Article Type: Research Article
Abstract: BACKGROUND: Coronary artery disease can be quantified by measuring the fat attenuation index (FAI). OBJECTIVE: To explore the correlations between FAI, high-risk plaque and the degree of coronary artery stenosis. METHODS: The clinical data of patients with coronary atherosclerosis who underwent a coronary computed tomography (CT) angiography examination between July 2020 and June 2023 were selected for retrospective analysis. These patients were classified into a high-risk plaque group and non-high-risk plaque group according to the presence of CT high-risk plaque. The diagnostic value of FAI and FAI combined with the degree of stenosis …was evaluated for CT high-risk plaque. RESULTS: Differences in age, body mass index, smoking history, FAI and the degree of stenosis between the two groups were statistically significant (all P < 0.05). The results of a binary logistic regression analysis revealed that FAI (odds ratio (OR): 1.131, 95% confidence interval (CI): 1.101–1.173, P < 0.001) and the degree of stenosis (OR: 1.021, 95% CI: 1.012–1.107, P < 0.001) were risk factors for high-risk plaque. CONCLUSION: The FAI can be used to monitor the inflammation level of the coronary artery; the higher the FAI is, the higher the risk of plaque and degree of stenosis. Show more
Keywords: Coronary computed tomography angiography, peripheral coronary adipose tissue, fat attenuation index, plaque
DOI: 10.3233/THC-230676
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2023
Authors: Lu, Cancan | Shi, Jimin | Tan, Yamin | Hu, Huixian
Article Type: Research Article
Abstract: BACKGROUND: There is no specificity in the clinical presentation of hemophagocytic lymphohistiocytosis (HLH). OBJECTIVE: To study some clinical, etiological, and prognostic features of HLH to improve the clinical understanding of the disease. METHODS: Retrospective analysis of the clinical data of 125 patients with HLH admitted to our hospital from June 2015 to August 2021, including clinical characteristics, laboratory indicators, and survival period. Statistical analysis was performed from the overall group of study indicators, which included population, children, and adults. RESULTS: In the whole population, sex, age, blood myoglobin, and NK …cell ratio of M-HLH and non-M-HLH patients (P < 0.05), serum albumin, and direct bilirubin were independent correlates of M-HLH. In the pediatric group, age and the proportion of NK cells were significantly different between M-HLH and non-M-HLH patients (P < 0.05). Multivariate Logistic regression analysis showed that all factors were not significantly associated with M-HLH. The associated regression analysis showed that all factors were not significantly associated with M-HLH. ROC curve analysis showed that the best predictive value of NK cell percentage for M-HLH diagnosis in the overall population was 4.96% in the pediatric group and 4.96% in the adult group. The best predictive value for M-HLH diagnosis was 2.08%. The univariate analysis showed that platelet count, alanine aminotransferase, aspartate aminotransferase, serum albumin, direct bilirubin and indirect bilirubin affected prognosis; COX regression showed that none of these factors had a significant relationship. The overall median survival time was 20.7 months in the adult group, 44.3 months in non-M-HLH patients, and 7.73 months in M-HLH patients (p = 0.011); univariate analysis showed that platelet count and serum albumin level affected prognosis; COX regression results in serum albumin level was an independent risk factor for prognosis. CONCLUSION: The survival rate of non-M-HLH was significantly better than that of M-HLH; the proportion of NK cells had predictive value for the diagnosis of M-HLH; in the general population, non-M-HLH was more likely to have abnormal liver function than M-HLH: lower platelet count and serum albumin level were associated with poor prognosis, and the lower the platelet count and serum albumin level, the worse the prognosis: in addition, adults with lower serum albumin levels are also associated with poor prognosis. Show more
Keywords: HLH, EB virus infection, inclusion criteria, diagnostic criteria, demographics
DOI: 10.3233/THC-231275
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024
Authors: Álvarez Valdivielso, Ainhoa | Akkaya, Mustafa | Mau, Hans | Luo, T. David | Gehrke, Thorsten | Citak, Mustafa
Article Type: Research Article
Abstract: BACKGROUND: Surgeons still face difficulties when performing aseptic acetabular revision on patients with extensive defects. Advances in three-dimensional printing technology (3DP) have afforded to the surgeons to create a patient-specific implant matching the morphology and topography of the defect. OBJECTIVE: The aim of the current research was to determine the survivorship in the treatment of acetabular bone defects with pelvic discontinuity (PD). METHODS: In order to reconstruct Paprosky type III defects with PD, twenty-three patients underwent revision total hip arthroplasty (THA) utilizing 3D-printed implants (Mobelife). The primary outcomes were the implant-associated failure rate …correlated with survivorship. As secondary variables, complications and the effect of age, sex, comorbidities, history of infections and the presence of other lower limb arthroplasties on a new revision were analyzed. RESULTS: Patients were followed out to a mean of 67.22 ± 39.44 months (range, 0.9–127 months). Mobelife implant mean survival was 102.57 ± 9.90 months (95% CI 83.17–121.96). The cohort’s implant one-year survival rate was 87%; at ten years, it dropped to 78.3%. There were four revisions: three due to periprosthetic joint infection (PJI) and one case due to aseptic loosening. Cox regression analysis did not identify any variable as predictor of failure. CONCLUSION: The use of 3DP patient-specific acetabular components has shown encouraging results and it is a viable treatment option for addressing acetabular defects with combined PD in aseptic THA revision. Show more
Keywords: Acetabular bone loss, Paprosky type III bone defect, pelvic discontinuity, patient-specific implants, 3D printing
DOI: 10.3233/THC-231647
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Alotaibi, Hanan | Al-Otibi, Fatimah | Alharbi, Raedah | ALshwuaiman, Ghada | Altwaijri, Shahad | Alfouzan, Afnan | Altaweel, Sara | Alshehri, Huda | Binrayes, Abdulaziz | Labban, Nawaf
Article Type: Research Article
Abstract: BACKGROUND: Denture stomatitis, frequently encountered, is generally addressed symptomatically, with limited exploration of preventive approaches involving antifungal medicinal plants. OBJECTIVE: This study assessed the impact of Artemisia sieberi extracts on the candida growth of conventional and digitally processed acrylic materials. METHOD: Thirty acrylic resin discs (3 mm thickness × 10 mm diameter) were prepared by conventional or CAD/CAM technology (milling and 3D printing). The resin discs were exposed to simulated brushing, thermocycling, and immersion in Artemisia sieberi extract for 8 hours. The surface roughness of the discs was assessed at …baseline and after immersion in Artemisia sieberi extract. Candida growth was quantified through colony-forming units (CFU/mL). Data was analyzed using SPSS v.22 (α ⩽ 0.05). RESULTS: Irrespective of the material type, the post-immersion surface roughness was significantly higher compared to pre-immersion values (p < 0.05). Candida growth was significantly higher in conventional acrylic materials than digitally fabricated acrylics (p < 0.05). At × 3, Ra and CFU were found to be moderately positive and non-significantly correlated (R = 0.664, p = 0.149). At × 4, Ra and CFU were found to be weak positive and non-significantly correlated (R = 0.344, p = 0.503). CONCLUSION: Artemisia sieberi extracts had a notable impact on digitally fabricated denture acrylics, reducing candida albicans growth compared to conventional heat-cured acrylic. This suggests a potential role for these extracts in improving denture hygiene and preventing denture stomatitis, particularly in the context of digitally fabricated dentures. Show more
Keywords: 3D printing, candida growth, roughness, colony forming units
DOI: 10.3233/THC-231767
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
Authors: Wang, Qiuyang | An, Peng | Song, Lina | Liu, Junjie | Liu, Jisheng
Article Type: Research Article
Abstract: BACKGROUND: Nasopharyngeal carcinoma (NC) is one of the prevalent malignancies of the head and neck region with poor prognosis. OBJECTIVE: The aim of this study is to establish a predictive model for assessing NC prognosis based on clinical and MR radiomics data, subsequently to develop a nomogram for practical application. METHODS: Retrospective analysis was conducted on clinical and imaging data collected between May 2010 and August 2018, involving 211 patients diagnosed with histologically confirmed NC who received concurrent chemoradiotherapy or radical surgery in Xiangyang No. 1 People’s Hospital. According to 5–10 years of …follow-up results, the patients were divided into two groups: the study group (n = 76), which experienced recurrence, metastasis, or death, and the control group (n = 135), characterized by normal survival. Training and testing subsets were established at a 7:3 ratio, with a predefined time cutoff. In the training set, three prediction models were established: a clinical data model, an imaging model, and a combined model using the integrated variation in clinical characteristics along with MR radiomics parameters (Delta-Radscore) observed before and after concurrent chemoradiotherapy. Model performance was compared using Delong’s test, and net clinical benefit was assessed via decision curve analysis (DCA). Then, external validation was conducted on the test set, and finally a nomogram predicting NC prognosis was created. RESULTS: Univariate analysis identified that the risk factors impacting the prognosis of NC included gender, pathological type, neutrophil to lymphocyte ratio (NLR), degree of tumor differentiation, MR enhancement pattern, and Delta-Radscore (P < 0.05). The combined model established based on the abovementioned factors exhibited significantly higher predictive performance [AUC: 0.874, 95% CI (0.810–0.923)] than that of the clinical data model [AUC: 0.650, 95% CI (0.568–0.727)] and imaging model [AUC: 0.824, 95% CI (0.753–0.882)]. DCA also demonstrated superior clinical net benefit in the combined model, a finding further verified by results from the test set. The developed nomogram, based on the combined model, exhibited promising performance in clinical applications. CONCLUSION: The Delta-Radscore derived from MR radiomics data before and after concurrent chemoradiotherapy helps enhance the performance of the NC prognostic model. The combined model and resultant nomogram provide valuable support for clinical decision-making in NC treatment, ultimately contributing to an improved survival rate. Show more
Keywords: Delta radiomics, nasopharyngeal cancer, predictive models, nomogram, decision curves, magnetic resonance imaging (MR)
DOI: 10.3233/THC-231173
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Zuo, Wanzhao | Li, Jing | Zuo, Mingyan | Li, Miao | Zhou, Shuang | Cai, Xing
Article Type: Research Article
Abstract: BACKGROUND: It is difficult to differentiate between chronic obstructive pulmonary disease (COPD)-peripheral bronchogenic carcinoma (COPD-PBC) and inflammatory masses. OBJECTIVE: This study aims to predict COPD-PBC based on clinical data and preoperative Habitat-based enhanced CT radiomics (HECT radiomics) modeling. METHODS: A retrospective analysis was conducted on clinical imaging data of 232 cases of postoperative pathological confirmed PBC or inflammatory masses. The PBC group consisted of 82 cases, while the non-PBC group consisted of 150 cases. A training set and a testing set were established using a 7:3 ratio and a time cutoff point. In …the training set, multiple models were established using clinical data and radiomics texture changes within different enhanced areas of the CT mass (HECT radiomics). The AUC values of each model were compared using Delong’s test, and the clinical net benefit of the models was tested using decision curve analysis (DCA). The models were then externally validated in the testing set, and a nomogram of predicting COPD-PBC was created. RESULTS: Univariate analysis confirmed that female gender, tumor morphology, CEA, Cyfra21-1, CT enhancement pattern, and Habitat-Radscore B/C were predictive factors for COPD-PBC (P < 0.05). The combination model based on these factors had significantly higher predictive performance [AUC: 0.894, 95% CI (0.836–0.936)] than the clinical data model [AUC: 0.758, 95% CI (0.685–0.822)] and radiomics model [AUC: 0.828, 95% CI (0.761–0.882)]. DCA also confirmed the higher clinical net benefit of the combination model, which was validated in the testing set. The nomogram developed based on the combination model helped predict COPD-PBC. CONCLUSION: The combination model based on clinical data and Habitat-based enhanced CT radiomics can help differentiate COPD-PBC, providing a new non-invasive and efficient method for its diagnosis, treatment, and clinical decision-making. Show more
Keywords: Nomograms, retrospective studies, antigen CYFRA21.1, area under curve, radiomics, tomography, X-ray computed, clinical decision-making, pulmonary disease, chronic obstructive
DOI: 10.3233/THC-231980
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
Authors: Hu, Qinghua | Li, Min | Jiang, Linwen | Liu, Mei
Article Type: Research Article
Abstract: BACKGROUND: Photoplethysmography (PPG) signals are sensitive to motion-induced interference, leading to the emergence of motion artifacts (MA) and baseline drift, which significantly affect the accuracy of PPG measurements. OBJECTIVE: The objective of our study is to effectively eliminate baseline drift and high-frequency noise from PPG signals, ensuring that the signal’s critical frequency components remain within the range of 1 ∼ 10 Hz. METHODS: This paper introduces a novel hybrid denoising method for PPG signals, integrating Variational Mode Decomposition (VMD) with an improved wavelet threshold function. The method initially employs VMD to …decompose PPG signals into a set of narrowband intrinsic mode function (IMF) components, effectively removing low-frequency baseline drift. Subsequently, an improved wavelet thresholding algorithm is applied to eliminate high-frequency noise, resulting in denoised PPG signals. The effectiveness of the denoising method was rigorously assessed through a comprehensive validation process. It was tested on real-world PPG measurements, PPG signals generated by the Fluke ProSim™ 8 Vital Signs Simulator with synthesized noise, and extended to the MIMIC-III waveform database. RESULTS: The application of the improved threshold function let to a substantial 11.47% increase in signal-to-noise ratio (SNR) and an impressive 26.75% reduction in root mean square error (RMSE) compared to the soft threshold function. Furthermore, the hybrid denoising method improved SNR by 15.54% and reduced RMSE by 37.43% compared to the improved threshold function. CONCLUSION: This study proposes an effective PPG denoising algorithm based on VMD and an improved wavelet threshold function, capable of simultaneously eliminating low-frequency baseline drift and high-frequency noise in PPG signals while faithfully preserving their morphological characteristics. This advancement establishes the foundation for time-domain feature extraction and model development in the domain of PPG signal analysis. Show more
Keywords: Variational mode decomposition, denoising, improved wavelet thresholding, photoplethysmography
DOI: 10.3233/THC-231996
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-22, 2024
Authors: Zhao, Qiuling | Huang, Shengqiang | Yang, Lin | Chen, Ting | Qiu, Xiuliang | Huang, Ruyi | Dong, Liangliang | Liu, Wenbin
Article Type: Research Article
Abstract: BACKGROUND: Rituximab resistance is one of the great challenges in the treatment of diffuse large B-cell lymphoma (DLBCL), but relevant biomarkers and signalling pathways remain to be identified. Coptis chinensis and its active ingredients have antitumour effects; thus, the potential bioactive compounds and mechanisms through which Coptis chinensis acts against rituximab-resistant DLBCL are worth exploring. OBJECTIVE: To elucidate the core genes involved in rituximab-resistant DLBCL and the potential therapeutic targets of candidate monomers of Coptis chinensis. METHODS: Using the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP), the Similarity Ensemble Approach …and Swiss Target Prediction, the main ingredients and pharmacological targets of Coptis chinensis were identified through database searches. Through the overlap between the pharmacological targets of Coptis chinensis and the core targets of rituximab-resistant DLBCL, we identified the targets of Coptis chinensis against rituximab-resistant DLBCL and constructed an active compound-target interaction network. The targets and their corresponding active ingredients of Coptis chinensis against rituximab-resistant DLBCL were molecularly docked. RESULTS: Berberine, quercetin, epiberberine and palmatine, the active components of Coptis chinensis, have great potential for improving rituximab-resistant DLBCL via PIK3CG. CONCLUSION: This study revealed biomarkers and Coptis chinensis-associated molecular functions for rituximab-resistant DLBCL. Show more
Keywords: Rituximab, resistance, differentially expressed genes, WGCNA, Coptis chinensis, network pharmacology
DOI: 10.3233/THC-230738
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-15, 2024
Authors: Li, Yang | Chen, Qianxi | Zhu, Tao | Lu, Shaohuan | Liang, Canhua | Wang, Guangzhao | Wu, Xuefeng | Meng, Guangyi
Article Type: Research Article
Abstract: BACKGROUND: How to comprehensively evaluate the rationality of drug use is a challenging issue. OBJECTIVE: To establish the evaluation index of the effective use of tislelizumab, so as to ensure its higher rationality and normalization in clinical application. METHODS: Based on the indications, drug instructions, and relevant guidelines of the National Basic Medical Insurance Restriction Catalogue, a retrospective analysis and evaluation of 286 cases of using tislelizumab injection in our hospital from January to December 2022 were conducted using the weighted technique for order of preference by similarity to ideal solution (TOPSIS) method. …RESULTS: Among the 286 medical records evaluated, the main irrational manifestations were inappropriate indications (90 cases, 31.47%), auxiliary examination and laboratory examination did not meet the minimum requirements of combination chemotherapy drugs (40 cases, 13.99%), the drug course was not standard (39 cases, 13.64%). Among the included cases, 57.34% were reasonable cases (C i ⩾ 0.8), 10.84% were basic reasonable cases (0.6 ⩽ C i < 0.8), and 31.82% were unreasonable cases (C i < 0.6). CONCLUSION: The TOPSIS method, with its attribute hierarchical model (AHM)-weighted approach, can be employed as the rational assessment technique for the injection of tislelizumab. The clinical application of tislelizumab in our hospital is still insufficient, which needs to be further improved management. Show more
Keywords: Drug use evaluation, weighted TOPSIS, Tislelizumab, attribute hierarchical model
DOI: 10.3233/THC-231574
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Han, Shi-Lei | Li, Na
Article Type: Research Article
Abstract: BACKGROUND: Prosthodontics are often performed to treat patients with malocclusion and dentition defects. However, single prosthodontics cannot properly correct the disharmony of teeth, dental arch and other parts affected by malocclusion, and some patients may have difficulty in recovering the occlusal function due to poor prosthodontics. OBJECTIVE: This study aims to investigate the effect of orthodontics combined with fibre-reinforced composite resin-bonded fixed partial denture (FRC-RBFPD) on anterior dentition defects with minimal vertical intermaxillary space. METHODS: Sixty-two patients with anterior dentition defects with minimal vertical mandibular space admitted to our hospital between March 2021 …and May 2023 were enrolled in this study. The participants were divided into the observation group (31 cases) and the control group (31 cases), according to the treatment plan. The control group was treated with traditional therapy, and the observation group was treated with orthodontic combined FRC-RBFPD therapy. Periodontal conditions (periodontal pocket depth [PD], the plaque index [PLI], the sulcus bleeding index [SBI]), levels of inflammatory factors in gingival crevicular fluid (high mobility group box 1 [HMGB1]), myeloid cell triggering receptor-1 (TREM-1), monocyte chemoattractant protein-1 (MCP-1), pain (visual analogue scale [VAS]), the clinical response rate and the incidence of adverse reactions were collected and compared. RESULTS: After 1, 3, 5 and 9 months following treatment, the scores of the PD, PLI, SBI, HMGB1, VAS, TREM-1 and MCP-1 in the observation group were found to be lower than those in the control group (F PD treatment = 352.532, F PLI score treatment = 112.341, F SBI score treatment = 79.479, F VAS score treatment = 96.132, F HMGB1 treatment = 52.532, F TREM-1 score treatment = 64.593, F MCP-1 score treatment = 53.582, and they were all statistically significant P < 0.05). There was a statistically significant difference in the response rate between the two groups (97.77% vs. 80.65%, χ 2 = 4.026, P = 0.045). No statistically significant difference was observed in the incidence of adverse reactions between the two groups (6.45% vs. 16.13%, χ 2 = 1.449, P = 0.229). CONCLUSION: Orthodontics combined with FRC-RBFPD shows an ideal restorative effect on patients with anterior dentition defects and minimal vertical intermaxillary space. Show more
Keywords: Orthodontics, fibre-reinforced composite resin-bonded fixed partial denture, dentition defects, tooth restoration
DOI: 10.3233/THC-231889
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
Authors: Xu, Chun-Guang | Yang, Li-Xia | Zhu, Rui | Zhang, Jie | Li, Yan | Chao, Chun-Fang
Article Type: Research Article
Abstract: BACKGROUND: Psychrophilic bacteria can survive in a unique living environment. OBJECTIVE: To explore the mechanism of low temperature adaptation and the physiological function of thermophilic metabolic genes. METHOD: Serratia marcescens strain F13 stored in microbial laboratory was cultured at 5 ∘ C, 10 ∘ C and 25 ∘ C respectively, and the obtained strains were sequenced by high-throughput transcriptome. Serratia marcescens strain CAV1761 was used as the reference strain. The data produced by transcriptome sequencing were statistically analyzed by biostatistics software such as …soapnuke, soap and edger. The differentially expressed genes were found based on the gene expression, and analyzed by Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. RESULTS: The results showed that there were 718 differential genes in F13-10 vs F13-5 comparison group, 1614 differential genes in F13-25 vs F13-5 comparison group and 1636 differential genes in F13-25 vs F13-10 comparison group. GO function enrichment analysis showed that the GO term mainly enriched by different genes in the three comparison groups was mostly related to the migration and transport of cellular or subcellular components, cell localization and transmembrane transporter activity, as well as cilia or flagella dependent cell movement. In the enrichment analysis of KEGG pathway, the three comparison groups all enriched the largest number of differential genes in the branch pathway of KEGG metabolism, followed by the branch pathway of environmental information processing. CONCLUSION: In F13-10 vs F13-5, the differential genes were mainly concentrated in 20 pathways such as ATP-binding cassette transport (ABC) transporters, thiamine metabolism and flagella assembly; In F13-25 vs F13-5, the differential genes are mainly concentrated in 20 pathways, such as (ABC) transporters, arginine and proline metabolism, two-component system and so on; In F13-25 vs F13-10, the differential genes are mainly concentrated in 20 pathways such as various types of glycan synthesis, two-component system and arginine metabolism. Show more
Keywords: Low temperature bacteria, transcriptome analysis, psychrophilic mechanism
DOI: 10.3233/THC-231022
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Wang, Zhen | Zhu, Darong | Hu, Guangzhu | Shi, Xiaobei
Article Type: Research Article
Abstract: BACKGROUND: The study of coronary artery calcification (CAC) may assist in identifying additional coronary artery problem protective factors. On the contrary side, due to the wide variety of CAC as individuals, CAC research is difficult. Due to this, evaluating data for investigation is becoming complicated. OBJECTIVE: To use a multi-layer perceptron, we investigated the accuracy and reliability of synthetic CAC coursework or hazard classification in pre or alors chest computerized tomography (CT) of arrangements resolutions in this analysis. method: Photographs of the chest from similar individuals as well as calcium-just and non-gated pictures …were incorporated. This cut thickness ordered CT pictures (bunch A: 1 mm; bunch B: 3 mm). The CAC rating was determined utilizing calcification score picture information, and became standard for tests. While the control treatment’s machine learning program was created using 170 computed tomography pictures and evaluated using 144 scans, group A’s machine learning algorithm was created using 150 chest CT diagnostic tests. RESULTS: 334 external related pictures (100 μ m: 117; 0.5 mm x: 117) of 117 individuals and 612 inside design organizing (1 mm: 294; mm3: 314) of 406 patients were surveyed. Pack B had 0.94, however, tests An and b had 0.90 (95% CI: 0.85–0.93) ICCs between significant learning and gold expenses (0.92–0.96). Dull Altman plots agreed well. A machine teaching approach successfully identified 71% of cases in category A is 81% of patients in section B again for cardiac risk class. CONCLUSION: Regression risk evaluation algorithms could assist in categorizing cardiorespiratory individuals into distinct risk groups and conveniently personalize the treatments to the patient’s circumstances. The models would be based on information gathered through CAC. On both 1 and 3-mm scanners, the automatic determination of a CAC value and cardiovascular events categorization that used a depth teaching approach was reliable and precise. The layer thickness of 0.5 mm on chest CT was slightly less accurate in CAC detection and risk evaluation. Show more
Keywords: Coronary artery calcification (CAC), CT images, CT diagnostic tests, artificial neural network, calcification score image data
DOI: 10.3233/THC-231273
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-23, 2024
Authors: Miao, Zhuang | Yu, Xinyue | Zhang, Lizhen | Zhu, Liqiao | Sheng, Huagang
Article Type: Research Article
Abstract: BACKGROUND: As a traditional digestive medicine, stir-fried Raphani Semen (SRS) has been used to treat food retention for thousands of years in China. Modern research has shown that SRS has a good therapeutic effect on functional dyspepsia (FD). However, the active components and mechanism of SRS in the treatment of FD are still unclear. OBJECTIVE: The purpose of this study is to elucidate the material basis and mechanism of SRS for treating FD based on UPLC-Q-Exactive Orbitrap MS/MS combined with network pharmacology and molecular docking. METHODS: The compounds of SRS water decoction were …identified by UPLC-Q-Exactive Orbitrap MS/MS and the potential targets of these compounds were predicted by Swiss Target Prediction. FD-associated targets were collected from disease databases. The overlapped targets of SRS and FD were imported into STRING to construct Protein-Protein Interaction (PPI) network. Then, the Metascape was used to analyze Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway after introducing overlapped targets. Finally, the active components and core targets were obtained by analyzing the “component-target-pathway” network, and the affinity between them was verified by molecular docking. RESULTS: 53 components were identified, and 405 targets and 1487 FD-related targets were collected. GO and KEGG analysis of 174 overlapped targets showed that SRS had important effects on hormone levels, serotonin synapses, calcium signaling pathway and cAMP signaling pathway. 7 active components and 15 core targets were screened after analyzing the composite network. Molecular docking results showed that multiple active components had high affinity with most core targets. CONCLUSION: SRS can treat FD through a variety of pathways, which provides a direction for the modern application of SRS in FD treatment. Show more
Keywords: Network pharmacology, stir-fried Raphani Semen, functional dyspepsia, UPLC-Q-Exactive Orbitrap MS/MS, mechanism, molecular docking
DOI: 10.3233/THC-231122
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-27, 2024
Authors: Hao, Xianjie | Yi, Yanli | Lin, Xian | Li, Jie | Chen, Cheng | Shen, Yanfeng | Sun, Yuhang | He, Jinglan
Article Type: Research Article
Abstract: BACKGROUND: Psychological factors are a risk factor for the incidence of breast cancer and have a significant impact on patient prognosis. OBJECTIVE: The present study aims to investigate the effects of personalised graded psychological intervention on negative emotion and quality of life in patients with breast cancer. METHODS: A total of 200 patients with breast cancer were randomly divided into two groups: an experimental group (n = 100) and control group (n = 100). Both groups received routine nursing care. The experimental group …received personalised graded psychological intervention care, and the control group received routine nursing measures. After 2 months of standard treatment, the patients’ quality of life and negative emotions were evaluated using the self-rating depression scale (SDS), self-rating anxiety scale (SAS), social support rating scale (SSRS) and quality of life measurement scale (FACT-B) scoring criteria. RESULTS: There were no significant differences in the general data between the two groups (p > 0.05). Furthermore, there were no significant differences in the SDS, SAS, SSRS and FACT-B scores between the two groups before personalised graded psychological intervention (p > 0.05). After the intervention, the experimental group exhibited an improved nursing effect compared with the control group. The SDS and SAS scores were lower in the experimental group than in the control group (p < 0.05); after the intervention, the SDS and SAS scores were significantly lower in the experimental group than in the control group (p < 0.05). The SSRS and FACT-B scores were higher in the experimental group than in the control group (p < 0.05), and the experimental group’s post-intervention SSRS and FACT-B scores were significantly higher than before the intervention (p < 0.05). CONCLUSIONS: The use of personalised graded psychological intervention for the nursing of patients with breast cancer in clinical practice can significantly reduce patients’ negative emotions as well as improve positive emotions and quality of life; thus, this method can be popularised in the nursing process. Show more
Keywords: Personalised grading, breast cancer, psychological intervention, negative emotions, quality of life
DOI: 10.3233/THC-232021
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
Authors: Mathew, Vinod Babu | Shamsuddin, Shaheen | Langaliya, Akshayraj | Rathod, Priyanka Tikaram | Gupta, Bharti | Ronsivalle, Vincenzo | Cicciù, Marco | Minervini, Giuseppe
Article Type: Review Article
Abstract: BACKGROUND: Literature evidence describes various treatment protocols that have been employed for the effectiveness in improving survival and addressing associated symptoms of cracked teeth. OBJECTIVE: This systematic review investigates the survivability of endodontically treated cracked teeth and associated assessments, focusing on various treatment protocols. METHODS: The PRISMA guidelines were utilised for guiding the article selection framework of this review. A comprehensive search of relevant literature was conducted in May 2023 across various databases, and studies meeting the inclusion criteria were selected. Data extraction, guided by a standardized form, captured crucial details, including study …characteristics, treatment protocols, and treatment outcomes, enhancing the consistency and accuracy of information collection. Data extraction and synthesis was done by two reviewers independently. The Newcastle Ottawa tool was used to measure the methodological quality of the study. Six observational studies were eventually included. RESULTS: Mandibular molars are particularly prone to developing cracks, with research indicating a heightened susceptibility to this dental issue. Studies reveal that endodontically treated cracked teeth boast robust overall survival rates ranging from 75.8% to 100%. The risk of bias assessment, utilizing the Newcastle Ottawa scale, indicated a moderate risk across studies, highlighting the necessity for careful interpretation of findings. CONCLUSION: Endodontically treated cracked teeth show marked success in survival, with the incorporation of crowns post-endodontic treatment significantly enhancing longevity and resilience. Show more
Keywords: Cracked teeth, survivability, treatment protocols, tooth survival, pulpitis, periodontitis, fractures
DOI: 10.3233/THC-231993
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-15, 2024
Authors: Celebioglu, Cansu | Topalli, Ayca Kumluca
Article Type: Research Article
Abstract: BACKGROUND: Incubators, especially the ones for babies, require continuous monitoring for anomaly detection and taking action when necessary. OBJECTIVE: This study aims to introduce a system in which important information such as temperature, humidity and gas values being tracked from incubator environment continuously in real-time. METHOD: Multiple sensors, a microcontroller, a transmission module, a cloud server, a mobile application, and a Web application were integrated Data were made accessible to the duty personnel both remotely via Wi-Fi and in the range of the sensors via Bluetooth Low Energy technologies. In addition, potential emergencies …were detected and alarm notifications were created utilising a machine learning algorithm. The mobile application receiving the data from the sensors via Bluetooth was designed such a way that it stores the data internally in case of Internet disruption, and transfers the data when the connection is restored. RESULTS: The obtained results reveal that a neural network structure with sensor measurements from the last hour gives the best prediction for the next hour measurement. CONCLUSION: The affordable hardware and software used in this system make it beneficial, especially in the health sector, in which the close monitoring of baby incubators is vitally important. Show more
Keywords: Biomedical, cloud service, healthcare, incubators, machine learning, mobile applications, web application, child wellbeing
DOI: 10.3233/THC-240167
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Lei, Jie | Huang, YiJun | Chen, YangLin | Xia, Linglin | Yi, Bo
Article Type: Research Article
Abstract: BACKGROUND: Rapid and accurate segmentation of tumor regions from rectal cancer images can better understand the patientâs lesions and surrounding tissues, providing more effective auxiliary diagnostic information. However, cutting rectal tumors with deep learning still cannot be compared with manual segmentation, and a major obstacle to cutting rectal tumors with deep learning is the lack of high-quality data sets. OBJECTIVE: We propose to use our Re-segmentation Method to manually correct the model segmentation area and put it into training and training ideas. The data set has been made publicly available. Methods: A total of 354 rectal …cancer CT images and 308 rectal region images labeled by experts from Jiangxi Cancer Hospital were included in the data set. Six network architectures are used to train the data set, and the region predicted by the model is manually revised and then put into training to improve the ability of model segmentation and then perform performance measurement. RESULTS: In this study, we use the Resegmentation Method for various popular network architectures. CONCLUSION: By comparing the evaluation indicators before and after using the Re-segmentation Method, we prove that our proposed Re-segmentation Method can further improve the performance of the rectal cancer image segmentation model. Show more
Keywords: Medical image, rectal cancer, data set, semantic segmentation
DOI: 10.3233/THC-230690
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2023
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