Quality Measurement of Two-dimensional Shear Wave Speed Imaging for Breast Lesions: the Associated Factors and the Impact to Diagnostic Performance

Abstract This study aimed to identify the associated factors for quality measurement (QM) of shear wave speed (SWS) imaging and to validate the additional value of QM in the diagnosis of breast lesions. From September 2014 to February 2015, conventional ultrasound and SWS imaging were performed in 3...

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Main Authors: Dan-Dan Li, Hui-Xiong Xu, Bo-Ji Liu, Xiao-Wan Bo, Xiao-Long Li, Rong Wu
Format: Article
Language:English
Published: Nature Publishing Group 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-05281-5
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spelling doaj-6d02e27452284ea9b4bd5393393d89e12020-12-08T01:50:23ZengNature Publishing GroupScientific Reports2045-23222017-07-017111110.1038/s41598-017-05281-5Quality Measurement of Two-dimensional Shear Wave Speed Imaging for Breast Lesions: the Associated Factors and the Impact to Diagnostic PerformanceDan-Dan Li0Hui-Xiong Xu1Bo-Ji Liu2Xiao-Wan Bo3Xiao-Long Li4Rong Wu5Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of MedicineDepartment of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of MedicineDepartment of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of MedicineDepartment of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of MedicineDepartment of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of MedicineDepartment of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of MedicineAbstract This study aimed to identify the associated factors for quality measurement (QM) of shear wave speed (SWS) imaging and to validate the additional value of QM in the diagnosis of breast lesions. From September 2014 to February 2015, conventional ultrasound and SWS imaging were performed in 338 women with 361 breast lesions. Binary logistic regression was used to identify associated factors for QM. Sensitivity, specificity and the area under receiver operating characteristic (ROC) curve (AUC) among maximum SWS (SWS max ), QM and SWS max plus QM (SWS max +QM) were compared to validate additional value of QM. Pathology confirmed 263 (72.9%) benign lesions and 98 (27.1%) malignancies. Maximum depth (Odds ratio [OR]: 1.398) and posterior features (OR: 1.206) were identified as independent associated factors for QM. Compared with SWS max and QM, the sensitivity of SWS max +QM increased from 67.3%, 64.3% to 83.7% whereas the specificity decreased from 90.5%, 72.6% to 65.4% (all P < 0.05). SWS max had the highest AUC in comparison with QM and SWS max +QM (0.849 vs. 0.685 vs. 0.745; P < 0.05). QM for breast lesions is associated with maximum depth and posterior features. Adding QM to SWS max is useful for breast cancer screening and SWS max alone is useful for breast cancer differentiation.https://doi.org/10.1038/s41598-017-05281-5
collection DOAJ
language English
format Article
sources DOAJ
author Dan-Dan Li
Hui-Xiong Xu
Bo-Ji Liu
Xiao-Wan Bo
Xiao-Long Li
Rong Wu
spellingShingle Dan-Dan Li
Hui-Xiong Xu
Bo-Ji Liu
Xiao-Wan Bo
Xiao-Long Li
Rong Wu
Quality Measurement of Two-dimensional Shear Wave Speed Imaging for Breast Lesions: the Associated Factors and the Impact to Diagnostic Performance
Scientific Reports
author_facet Dan-Dan Li
Hui-Xiong Xu
Bo-Ji Liu
Xiao-Wan Bo
Xiao-Long Li
Rong Wu
author_sort Dan-Dan Li
title Quality Measurement of Two-dimensional Shear Wave Speed Imaging for Breast Lesions: the Associated Factors and the Impact to Diagnostic Performance
title_short Quality Measurement of Two-dimensional Shear Wave Speed Imaging for Breast Lesions: the Associated Factors and the Impact to Diagnostic Performance
title_full Quality Measurement of Two-dimensional Shear Wave Speed Imaging for Breast Lesions: the Associated Factors and the Impact to Diagnostic Performance
title_fullStr Quality Measurement of Two-dimensional Shear Wave Speed Imaging for Breast Lesions: the Associated Factors and the Impact to Diagnostic Performance
title_full_unstemmed Quality Measurement of Two-dimensional Shear Wave Speed Imaging for Breast Lesions: the Associated Factors and the Impact to Diagnostic Performance
title_sort quality measurement of two-dimensional shear wave speed imaging for breast lesions: the associated factors and the impact to diagnostic performance
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-07-01
description Abstract This study aimed to identify the associated factors for quality measurement (QM) of shear wave speed (SWS) imaging and to validate the additional value of QM in the diagnosis of breast lesions. From September 2014 to February 2015, conventional ultrasound and SWS imaging were performed in 338 women with 361 breast lesions. Binary logistic regression was used to identify associated factors for QM. Sensitivity, specificity and the area under receiver operating characteristic (ROC) curve (AUC) among maximum SWS (SWS max ), QM and SWS max plus QM (SWS max +QM) were compared to validate additional value of QM. Pathology confirmed 263 (72.9%) benign lesions and 98 (27.1%) malignancies. Maximum depth (Odds ratio [OR]: 1.398) and posterior features (OR: 1.206) were identified as independent associated factors for QM. Compared with SWS max and QM, the sensitivity of SWS max +QM increased from 67.3%, 64.3% to 83.7% whereas the specificity decreased from 90.5%, 72.6% to 65.4% (all P < 0.05). SWS max had the highest AUC in comparison with QM and SWS max +QM (0.849 vs. 0.685 vs. 0.745; P < 0.05). QM for breast lesions is associated with maximum depth and posterior features. Adding QM to SWS max is useful for breast cancer screening and SWS max alone is useful for breast cancer differentiation.
url https://doi.org/10.1038/s41598-017-05281-5
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