Literature DB >> 30856102

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.

Xiang Li1, Xiu-Juan Hou1, Lin-Yao Du1, Jia-Qi Wu1, Luo Wang1, Hong Wang1, Xian-Li Zhou1.   

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 (SWVmin) 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.

Entities:  

Keywords:  Ultrasound; elastography; thyroid imaging reporting and data system; thyroid nodule; virtual touch tissue imaging and quantification

Mesh:

Year:  2019        PMID: 30856102     DOI: 10.3233/CH-180477

Source DB:  PubMed          Journal:  Clin Hemorheol Microcirc        ISSN: 1386-0291            Impact factor:   2.375


  4 in total

1.  Systematic Review and Meta-Analysis of American College of Radiology TI-RADS Inter-Reader Reliability for Risk Stratification of Thyroid Nodules.

Authors:  Wei Li; Yuan Sun; Haibing Xu; Wenwen Shang; Anding Dong
Journal:  Front Oncol       Date:  2022-05-13       Impact factor: 5.738

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

Authors:  Zhen-Han Lai; Shu-Ping Yang; Hao-Lin Shen; Yi Luo; Xiao-Han Cai; Wen-Ting Jiang; Li-Ping Liao; Kun-Bin Wu; Guo-Rong Lv
Journal:  BMC Musculoskelet Disord       Date:  2021-01-26       Impact factor: 2.362

3.  Comparison of Diagnostic Performance of Five Different Ultrasound TI-RADS Classification Guidelines for Thyroid Nodules.

Authors:  Ruoning Yang; Xiuhe Zou; Hao Zeng; Yunuo Zhao; Xuelei Ma
Journal:  Front Oncol       Date:  2020-11-16       Impact factor: 6.244

4.  Validating and Comparing C-TIRADS, K-TIRADS and ACR-TIRADS in Stratifying the Malignancy Risk of Thyroid Nodules.

Authors:  Qingfang Chen; Mingnan Lin; Size Wu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-17       Impact factor: 6.055

  4 in total

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