Literature DB >> 27174418

Value of Virtual Touch Tissue Imaging Quantification for Evaluation of Ultrasound Breast Imaging-Reporting and Data System Category 4 Lesions.

Xiao-Long Li1, Hui-Xiong Xu2, Xiao-Wan Bo1, Bo-Ji Liu1, Xian Huang3, Dan-Dan Li1, Le-Hang Guo1, Jun-Mei Xu1, Li-Ping Sun1, Lin Fang4, Xiao-Hong Xu5.   

Abstract

The purpose of the study was to evaluate the value of 2-D shear wave elastography (SWE) of virtual touch tissue imaging quantification (VTIQ) for ultrasound (US) Breast Imaging-Reporting and Data System (BI-RADS) category 4 lesions. One hundred sixteen lesions were subject to conventional US, conventional strain elastography (SE) of elasticity imaging (EI), acoustic radiation force impulse (ARFI)-induced SE of virtual touch tissue imaging (VTI) and VTIQ before biopsies. Of the 116 lesions, 69 (59.5%) were benign and 47 (40.5%) were malignant. Significant differences were found between benign and malignant lesions in EI score, VTI score and shear wave speed (SWS) on VTIQ (both p < 0.05). The cut-off values were EI score ≥4, VTI score ≥4 and SWS ≥3.49 m/s, respectively. The diagnostic performance of VTIQ in terms of area under receiver operating characteristic curve (AUROC) were the highest (i.e., AUROC = 0.907), in comparison with EI, VTI alone or a combination of both. The associated sensitivity, specificity and accuracy were 87.2%, 82.6% and 84.5%, respectively. The combination of VTI and VTIQ, however, was similar with US BI-RADS (p = 0.475) in sensitivity in that only two (4.3%) of 47 malignant lesions were misdiagnosed as benign that were BI-RADS category 4b on US. VTIQ is valuable to differentiate benign from malignant BI-RADS category 4 lesions, and the combination of VTI and VTIQ might be useful for patient selection before biopsy.
Copyright © 2016 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  2-D shear wave elastography; Acoustic radiation force impulse; Breast Imaging-Reporting and Data System category 4 lesions; Breast lesion; Conventional ultrasound; Virtual touch tissue imaging quantification

Mesh:

Year:  2016        PMID: 27174418     DOI: 10.1016/j.ultrasmedbio.2016.04.002

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  6 in total

1.  The value of virtual touch tissue imaging quantification in the differential diagnosis between benign and malignant breast lesions.

Authors:  Wen-Tao Kong; Wei-Jun Zhou; Yin Wang; Xiao-Min Zhuang; Min Wu
Journal:  J Med Ultrason (2001)       Date:  2019-05-17       Impact factor: 1.314

2.  Virtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions.

Authors:  Ying Zhang; Chong-Ke Zhao; Xiao-Long Li; Ya-Ping He; Wei-Wei Ren; Cai-Ping Zou; Yue-Wu Du; Hui-Xiong Xu
Journal:  Sci Rep       Date:  2017-08-10       Impact factor: 4.379

3.  A Risk Model based on Ultrasound, Ultrasound Elastography, and Histologic Parameters for Predicting Axillary Lymph Node Metastasis in Breast Invasive Ductal Carcinoma.

Authors:  Xiao-Long Li; Hui-Xiong Xu; Dan-Dan Li; Ya-Ping He; Wen-Wen Yue; Jun-Mei Xu; Bo-Ji Liu; Li-Ping Sun; Lin Fang
Journal:  Sci Rep       Date:  2017-06-08       Impact factor: 4.379

4.  Shear-Wave Elastography of the Breast: Added Value of a Quality Map in Diagnosis and Prediction of the Biological Characteristics of Breast Cancer.

Authors:  Xueyi Zheng; Yini Huang; Yubo Liu; Yun Wang; Rushuang Mao; Fei Li; Longhui Cao; Jianhua Zhou
Journal:  Korean J Radiol       Date:  2020-02       Impact factor: 3.500

5.  Which combination of different ultrasonography modalities is more appropriate to diagnose breast cancer?: A network meta-analysis (a PRISMA-compliant article).

Authors:  Yang Zhou; Jialing Wu
Journal:  Medicine (Baltimore)       Date:  2022-08-05       Impact factor: 1.817

6.  Diagnostic Value of Elastography, Strain Ratio, and Elasticity to B-Mode Ratio and Color Doppler Ultrasonography in Breast Lesions.

Authors:  Mahnaz Ranjkesh; Farid Hajibonabi; Fatemeh Seifar; Mohammad Kazem Tarzamni; Behzad Moradi; Zhila Khamnian
Journal:  Int J Gen Med       Date:  2020-05-25
  6 in total

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