Literature DB >> 33328105

Virtual touch imaging quantification shear-wave elastography for breast lesions: the diagnostic value of qualitative and quantitative features.

T Luo1, J W Zhang1, Y Zhu1, X H Jia1, Y J Dong2, W W Zhan1, J Q Zhou3.   

Abstract

AIM: To investigate the value of the qualitative and quantitative features of Virtual Touch imaging quantification (VTIQ) shear-wave elastography in the characterisation of breast lesions.
MATERIALS AND METHODS: Conventional ultrasound (US) and VTIQ were performed in 148 solid breast lesions in 148 women. During qualitative analysis, patterns of VTIQ were categorised into two patterns, 1 and 2. During quantitative analysis, the mean SWV (SWVmean) and the maximum SWV (SWVmax) of each lesion were used. The sensitivity, specificity, and the areas under the receiver operating characteristic (ROC) curve (Az value) were calculated for conventional US, VTIQ, and combined conventional US and VTIQ.
RESULTS: Malignant lesions were more likely to show VTIQ pattern 2 than the benign lesions (p<0.001). There was no significant difference in the Az values between SWVmean (0.907) and SWVmax (0.902; p=0.572). There was no significant difference in the Az values between the VTIQ pattern (0.884) and SWVmax (p=0.572). The combined conventional US and VTIQ pattern carried a similar Az value (0.949) as compared with the combined conventional US and SWVmax, which yielded an Az value of 0.952 (p=0.683).
CONCLUSION: The combination of either VTIQ pattern or SWVmax and conventional US may be helpful in the characterisation of benign and malignant breast lesions.
Copyright © 2020 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Entities:  

Year:  2020        PMID: 33328105     DOI: 10.1016/j.crad.2020.10.016

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  2 in total

1.  Shear Wave Elastography-Assisted Ultrasound Breast Image Analysis and Identification of Abnormal Data.

Authors:  Caoxin Yan; Zhiyan Luo; Zimei Lin; Huilin He; Yunkai Luo; Jian Chen
Journal:  J Healthc Eng       Date:  2022-01-07       Impact factor: 2.682

2.  Shear wave elastography as a quantitative biomarker of diabetic peripheral neuropathy: A systematic review and meta-analysis.

Authors:  Bingtian Dong; Guorong Lyu; Xiaocen Yang; Huaming Wang; Yongjian Chen
Journal:  Front Public Health       Date:  2022-07-22
  2 in total

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