Virtual Touch Tissue Imaging and Quantification (VTIQ) combined with the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) for malignancy risk stratification of thyroid nodules

Abstract

OBJECTIVE:

This study was conducted to investigate the diagnostic performance of Virtual Touch Tissue Imaging and Quantification (VTIQ), combined with the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) in differentiating malignant and benign thyroid nodules.

METHODS:

A total of 130 thyroid nodules in 128 patients were included. The diagnostic performance of conventional ultrasound (US), VTIQ, and the combination of these two techniques was calculated and compared according to the area under the receiver operating characteristic curve (AUROC), for sensitivity, specificity, and accuracy.

RESULTS:

The sensitivity and specificity for the ACR TI-RADS were 98.6% (72/73) and 24.6% (14/57), respectively. There was a strong agreement with ACR TI-RADS categories of thyroid nodules (all ICCs > 0.60). With an optimal cutoff value of 2.46 m/s, the sensitivity and specificity of the minimal shear wave velocity (SWV_min) were 87.7% (64/73) and 70.2% (40/57). By applying this value to downgrade or upgrade ACR TI-RADS, the specificity significantly increased from 24.6% (14/57) to 47.4% (27/57; P < 0.05) and the sensitivity remained at 98.6% (72/73).

CONCLUSIONS:

VTIQ combined with ACR TI-RADS could improve the specificity of the differential diagnosis of thyroid nodules without a loss of sensitivity.