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

Abstract This study was aimed to evaluatethe usefulness of conventional ultrasound (US) and US elastography, including the latest virtual touch tissue imaging and quantification (VTIQ), in malignancy prediction for complex cystic and solid breast lesions. Eighty-nine complex cystic and solid breast...

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Autores principales:	Ying Zhang, Chong-Ke Zhao, Xiao-Long Li, Ya-Ping He, Wei-Wei Ren, Cai-Ping Zou, Yue-Wu Du, Hui-Xiong Xu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d4a7e0f9873643a99cfbdce362f84c1c
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spelling	oai:doaj.org-article:d4a7e0f9873643a99cfbdce362f84c1c2021-12-02T11:41:11ZVirtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions10.1038/s41598-017-07865-72045-2322https://doaj.org/article/d4a7e0f9873643a99cfbdce362f84c1c2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07865-7https://doaj.org/toc/2045-2322Abstract This study was aimed to evaluatethe usefulness of conventional ultrasound (US) and US elastography, including the latest virtual touch tissue imaging and quantification (VTIQ), in malignancy prediction for complex cystic and solid breast lesions. Eighty-nine complex cystic and solid breast lesions were subject to conventional US and US elastography, including strain elastography (SE), virtual touch tissue imaging (VTI) and VTIQ. Among the 89 lesions, thirty-four (38.2%) lesions were malignant and 55 (61.8%) lesions were benign. Sixteen variables were subject to multivariate logistic regression analysis. Pattern 4b in VTI (odds ratio, OR:15.278), not circumscribed margin of lesion (OR:12.346), SWS mean >4.6 m/s in VTIQ (OR:11.896), and age elder than 50 years (OR:6.303) were identified to be independent predictors for malignancy. In receiver operating characteristic (ROC) curve analyses, associated areas under the ROC curve (Az) for conventional US could be significantly elevated, from 0.649 to 0.918, by combining with US elastography (p < 0.0001). The combined diagnostic method was able to improve the specificity (32.7% vs. 87.3%, p < 0.0001) without sacrificing the sensitivity (97.1% vs. 85.3%, p = 0.075). Both conventional US and US elastography contribute substantially to malignancy prediction in complex cystic and solid lesions. The diagnostic efficacy of conventional US in terms of Az and specificity could be significantly improved by combining with US elastography.Ying ZhangChong-Ke ZhaoXiao-Long LiYa-Ping HeWei-Wei RenCai-Ping ZouYue-Wu DuHui-Xiong XuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ying Zhang Chong-Ke Zhao Xiao-Long Li Ya-Ping He Wei-Wei Ren Cai-Ping Zou Yue-Wu Du Hui-Xiong Xu Virtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions
description	Abstract This study was aimed to evaluatethe usefulness of conventional ultrasound (US) and US elastography, including the latest virtual touch tissue imaging and quantification (VTIQ), in malignancy prediction for complex cystic and solid breast lesions. Eighty-nine complex cystic and solid breast lesions were subject to conventional US and US elastography, including strain elastography (SE), virtual touch tissue imaging (VTI) and VTIQ. Among the 89 lesions, thirty-four (38.2%) lesions were malignant and 55 (61.8%) lesions were benign. Sixteen variables were subject to multivariate logistic regression analysis. Pattern 4b in VTI (odds ratio, OR:15.278), not circumscribed margin of lesion (OR:12.346), SWS mean >4.6 m/s in VTIQ (OR:11.896), and age elder than 50 years (OR:6.303) were identified to be independent predictors for malignancy. In receiver operating characteristic (ROC) curve analyses, associated areas under the ROC curve (Az) for conventional US could be significantly elevated, from 0.649 to 0.918, by combining with US elastography (p < 0.0001). The combined diagnostic method was able to improve the specificity (32.7% vs. 87.3%, p < 0.0001) without sacrificing the sensitivity (97.1% vs. 85.3%, p = 0.075). Both conventional US and US elastography contribute substantially to malignancy prediction in complex cystic and solid lesions. The diagnostic efficacy of conventional US in terms of Az and specificity could be significantly improved by combining with US elastography.
format	article
author	Ying Zhang Chong-Ke Zhao Xiao-Long Li Ya-Ping He Wei-Wei Ren Cai-Ping Zou Yue-Wu Du Hui-Xiong Xu
author_facet	Ying Zhang Chong-Ke Zhao Xiao-Long Li Ya-Ping He Wei-Wei Ren Cai-Ping Zou Yue-Wu Du Hui-Xiong Xu
author_sort	Ying Zhang
title	Virtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions
title_short	Virtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions
title_full	Virtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions
title_fullStr	Virtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions
title_full_unstemmed	Virtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions
title_sort	virtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/d4a7e0f9873643a99cfbdce362f84c1c
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_version_	1718395487030083584

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

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