The value of superb microvascular imaging (SMI) scoring assignment method in differentiating benign and malignant thyroid nodules by conventional ultrasound
Affiliations:
Department of Ultrasound, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
Correspondence:
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Corresponding author: Ruijun Guo, MD, Department of Ultrasound, Beijing Chaoyang Hospital, Capital Medical University, No 8 Baijiazhuang Rd, Chao Yang District, 100020 Beijing, China. Tel.: +86 0108523757; E-mail: [email protected].
Note: [1] Wei Zhao and Ruigang Lu contributed equally to this work as first authors.
Abstract: PURPOSE:To explore the application value of SMI scoring assignment method combined with 2017 American College of Radiology (ACR) Thyroid Imaging, Reporting and Data System (TI-RADS) in differentiating benign and malignant thyroid nodules. METHODS:According to the 2017 ACR TI-RADS classification, the enrolled nodules were divided into 3 points group, 4 points group, 5 points group, 6 points group and≥7 points group. The nodules were assigned scores according to the echocity of the nodules and the microvessels detected by SMI and their distribution patterns based on ACR TI-RADS. Accompany with the scores increased or decreased after assignment, the thyroid nodules were re-grouped. RESULTS:The AUC after the scores assignment is better than before (Z = 3.881, P < 0.001). The specificity, positive predictive value and accuracy after score assigned are better than those of before (Z = 8.323, P < 0.001; Z = 8.619, P < 0.001; Z = 5.345, P < 0.001), there is no statistical difference in sensitivity before and after score assigned (Z = –0.513, P = 0.60), and the negative predictive value before assigned score is better than that of after (Z = –3.826, P < 0.001). CONCLUSION:The diagnostic efficacy after scoring was better than that of before.
Keywords: Superb microvascular imaging (SMI), thyroid nodules, ultrasonography, Thyroid Imaging, Reporting and Data System (TI-RADS)
