Role of color-coded virtual touch tissue imaging in suspected thyroid nodules

BACKGROUND: Conventional ultrasound (US) is the most widely used imaging test for thyroid nodule surveillance. OBJECTIVE: We used the color-coded virtual touch tissue imaging (VTI) in the Acoustic Radiation Force Impulse (ARFI) technique to assess the hardness of the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) TR3-5 nodules. The ability of color-coded VTI (CV) to discriminate between benign and malignant nodules was investigated. METHODS: In this retrospective study, US and CV were performed on 211 TR3-5 thyroid lesions in 181 consecutive patients. All nodules were operated on to obtain pathological results. A multivariate logistic regression model was chosen to integrate the data obtained from the US and CV. RESULTS: The area under the receiver operating characteristic (ROC) curve for the model was 0.945 (95% CI, 0.914 to 0.976). The cutoff value of predictive probability for diagnosing malignant thyroid nodules was 10.64%, the sensitivity was 94.43%, and the specificity was 83.12%. Through comparing with US and CV, respectively, it had been observed that the regression model had the best performance (all P< 0.001). However, when the US was compared with CV, the difference was not significant (P= 0.3304). CONCLUSIONS: A combination of US and CV should be recommended for suspected malignant thyroid nodules in clinical practice.

Combination of high-frequency ultrasound and virtual touch tissue imaging and quantification improve the diagnostic efficiency for mild carpal tunnel syndrome

Background Carpal tunnel syndrome (CTS) is the most common entrapment symptom in the peripheral nerves. High-frequency ultrasound (HFUS) is widely used in the diagnosis of CTS. Virtual Touch Tissue Imaging and Quantification (VTIQ), which provides more information about the hardness of organization, is used to diagnose CTS. However, the data of diagnostic value of them in various degrees of CTS are limited. Whether the combination of HFUS and VTIQ can improve the diagnostic efficiency also remains unknown. The study aimed to explore the diagnostic value of HFUS and VTIQ in various degrees of CTS and whether combination of HFUS and VTIQ could improve the diagnostic efficiency of CTS. Methods A collection and analysis of 133 CTS patients and 35 volunteers from January 2016 to January 2019 were performed. We compared the clinical characteristics, cross-sectional area (CSA) value and shear wave velocity SWVmean value of CTS group with volunteer group. Results The CSA value and SWVmean value of CTS cohort were significantly higher than volunteer group (10.79 ± 2.88 vs. 8.06 ± 1.39, p < 0.001, 4.36 ± 0.95 vs. 3.38 ± 1.09, p < 0.001, respectively). The area under the curve (AUC) of receiver operating characteristic (ROC) curve of CSA value and SWVmean value were 0.794 and 0.757, respectively. Hierarchical analysis of CSA value and SWVmean value showed that the AUC in the moderate and severe CTS group were higher than in mild CTS group. Furthermore, the CSA value combined with SWVmean value used to diagnose mild CTS was 0.758, which was higher than that of single CSA value or single SWVmean value. Conclusions Both HFUS and VTIQ technology were feasible to evaluate CTS. HFUS was suitable for use in diagnosis of moderate and severe CTS. For mild CTS, combination of HFUS and VTIQ was relevant to improve the diagnostic efficiency of CTS.

The value of color-map virtual touch tissue imaging (CMV) in the differential diagnosis of benign and malignant breast lesions

BACKGROUND: Researchers have evaluated the VTI value in the diagnosis of breast lesions, mostly based on gray-scale. PURPOSE: This study aimed to evaluate the value of color-map virtual touch tissue imaging (CMV) in the diagnosis of breast lesions. METHODS: We retrospectively analyzed the virtual touch tissue imaging (VTI) images of 55 breast lesions in 49 female patients who underwent an examination of breast lesions in our hospital from January 2019 to December 2019. The pathological results were taken as the gold standard. The receiver operating characteristic (ROC) curve of CMV was analyzed, and its diagnostic performance was evaluated. Weighted Kappa (k) statistics were used to assess the inter-observer agreement for CMV. RESULTS: A total of 55 breast lesions were included, including 19 malignant lesions and 36 benign lesions. Multivariate analysis showed that patients with higher CMV scores (P = 0.014, odds ratio [OR] = 13.667, 95% CI = 1.702–109.773) were independent predictors of breast cancer. The sensitivity, specificity, and the area under curve (AUC) of CMV were 94.47%, 72.22%, and 0.912. The CMV’s inter-observer agreement was almost perfect among radiologists with different work experience (k = 0.854, standard error = 0.049, 95% confidence interval = 0.758–0.950). CONCLUSIOS: CMV has high accuracy and repeatability in the diagnosis of malignant breast lesions.

Value of image-pro plus for assisting virtual touch tissue imaging in the diagnosis of thyroid nodules

Purpose: The value of virtual touch tissue imaging (VTI) with support of Image-Pro Plus (IPP) for diagnosing malignant thyroid tumors was assessed in the present study. Methods: In this retrospective study, we enrolled 160 patients with 198 thyroid nodules. TI-RADS, VTI grade, and VTI with support of IPP (VTI-IPP) were underwent for each nodule. With the pathological diagnosis as the gold standard, the receiver-operating characteristic curve (ROC) was drawn to evaluate the diagnostic performance of VTI-IPP, VTI, TI-RADS, VTI-IPP combinate with TI-RADS in thyroid carcinoma. Results: VTI-IPP score >2, VTI score >3, TI-RADS score >1, and VTI-IPP combine with TI-RADS score >4 expressed the highest diagnostic value for malignant thyroid nodules, the areas under the curve (AUC) were 0.939, 0.905, 0.925, and 0.967, respectively. The combination indicated the largest AUC, compared with VTI-IPP and TI-RADS, respectively (P = 0.0054 and 0.0009). The performance of VTI-IPP in diagnosing thyroid carcinomas was better than VTI (P = 0.0321). Conclusion: Compare with VTI, VTI-IPP exhibited more excellent value in distinguishing between benign and malignant thyroid nodules. The value of malignant thyroid nodules diagnosis can be improved when VTI-IPP combines with TI-RADS.