Abstract:Objective: To assess the value of virtual touch tissue imaging quantification(VTIQ) in different diameter TI-RADS 4 thyroid nodules on ultrasound. Methods: 191 patients with 195 pathologically proven benign(86) and malignant(109) thyroid nodules underwent TI-RADS and VTIQ examinations, and all the nodules were identified as TI-RADS 4. The thyroid nodules of TI-RADS 4 were divided into two groups according to diameter(≤10 mm and >10 mm). Shear wave velocity(SWV) were measured with VTIQ. To assess the diagnostic value of TI-RADS, VTIQ and their combination in each group, the receiver operating characteristic(ROC) curves of TI-RADS, VTIQ and their combination were drawn in two groups. Areas under the curve(AUC) were compared between the two groups. Results: The sensitivity, specificity, positive predictive value, negative predictive value, accuracy and AUC of TI-RADS, VTIQ and their combination for the group(diameter≤10 mm) were 70.00%, 95.24%, 94.50%, 72.72%, 81.52%, 0.826; 82.00%, 78.57%, 82.00%, 78.57%, 80.43%, 0.803 and 96.00%, 76.19%, 82.76%, 94.12%, 86.96%, 0.861. In another group(diameter>10 mm), the sensitivity, specificity, positive predictive value, negative predictive value, accuracy and AUC were 67.80%, 90.91%, 90.91%, 67.80%, 77.67%, 0.794; 79.66%, 79.55%, 83.93%, 74.47%, 79.61%, 0.796 and 91.53%, 75.00%, 83.08%, 86.84%, 84.87%, 0.833. Three methods compared between the two groups have no statistically difference. Conclusion: It’s of high value for VTIQ to differentiate benign and malignant ones in different diameter TI-RADS 4 thyroid nodules. The sensitivity of the combination method was better than that single method. Between two groups, it’s better for the group which diameter≤10 mm in using VTIQ and their combination.
刘 淼,沈 燕,傅晓红,吴 墅,何 洁. 声触诊组织成像和定量技术在不同直径的甲状腺
TI-RADS 4类结节中的诊断价值[J]. 中国临床医学影像杂志, 2017, 28(11): 764-769.
LIU Miao, SHEN Yan, FU Xiao-hong, WU Shu, HE Jie. Value of virtual touch tissue imaging quantification in different diameter TI-RADS 4 thyroid nodules. JOURNAL OF CHINA MEDICAL IMAGING, 2017, 28(11): 764-769.
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