Value of conventional ultrasound, ultrasound elasticity imaging, and acoustic radiation force impulse elastography for prediction of malignancy in breast lesions

Article type: Research Article

Authors: Zhang, Shupin^{a; b; c; 1} | Wan, Jing^{a; b; 1} | Liu, Hui^{a; b} | Yao, Minghua^{a; b} | Xiang, Lihua^{a; b} | Fang, Yan^{a; b} | Jia, Liqiong^c | Wu, Rong^{a; d; *}

Affiliations: [a] Department of Ultrasound in Medical, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China | [b] Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China | [c] Department of Medical Ultrasound, Shanghai First People’s Hospital Baoshan Branch, Shanghai, China | [d] Department of Ultrasound in Medical, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China

Correspondence: [*] Corresponding author: Rong Wu, MD, PhD, Department of Ultrasound in Medical, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, No. 301, Yanchangzhong Road, Shanghai 200072, China. E-mail: [email protected].

Note: [1] These authors contributed equally to this work.

Abstract: OBJECTIVE:To evaluate the efficacies of conventional ultrasound (US), US elasticity imaging (EI), and acoustic radiation force impulse (ARFI) elastography in breast malignancy diagnosis. METHODS:We included 315 women (mean age, 44 years; range, 18–81 years) with 336 pathologically proven breast lesions in this retrospective study. All lesions underwent conventional US, EI, and ARFI (including virtual touch tissue imaging [VTI], virtual touch tissue quantification [VTQ], and virtual touch tissue imaging and quantification [VTIQ]) elastography. Multivariate logistic regression analysis was performed to assess 12 independent variables for malignancy prediction. Diagnostic performance was evaluated with receiver operating characteristic (ROC) curve analysis. RESULTS:Irregular lesion shape was the strongest independent predictor for breast malignancy, followed by poorly defined margins, taller than wide dimensions, posterior echo attention, VTIQ, and VTI boundaries (P < 0.05). Area under the ROC curve (AUC) for VTIQ was higher than other significant independent variables. With the best cut-off value of 3.74 m/s, the AUC, sensitivity, and specificity were 0.93 (95% CI: 0.90, 0.96), 90.1%, and 91.1%, respectively. CONCLUSIONS:ARFI elastography is a promising method in breast malignancy prediction, with good diagnostic performance. For patients requiring surgery, the combination of various methods can provide better diagnostic results and may help to reduce unnecessary biopsy or surgery.

Keywords: Ultrasound, breast cancer, elastography, acoustic radiation force impulse imaging, virtual touch tissue imaging and quantification

DOI: 10.3233/CH-180527

Journal: Clinical Hemorheology and Microcirculation, vol. 74, no. 3, pp. 241-253, 2020