Diagnostic values of shear wave elastography and strain elastography for breast lesions

ABSTRACT Background: Strain elastography (SE) and shear wave elastography (SWE) have high diagnostic yield for breast lesions, but the optimal parameters remain elusive. Aim: To evaluate the diagnostic yield of SWE and SE for breast lesions by multivariate logistic regression analysis. Material a...

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Autores principales:	Jiang,Huiwen, Yu,Xiaodan, Zhang,Lina, Song,Linxiao, Gao,Xiuhua
Lenguaje:	English
Publicado:	Sociedad Médica de Santiago 2020
Materias:	Breast Diseases Diagnosis Elasticity Imaging Techniques
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872020000901239
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spelling	oai:scielo:S0034-988720200009012392020-12-26Diagnostic values of shear wave elastography and strain elastography for breast lesionsJiang,HuiwenYu,XiaodanZhang,LinaSong,LinxiaoGao,Xiuhua Breast Diseases Diagnosis Elasticity Imaging Techniques ABSTRACT Background: Strain elastography (SE) and shear wave elastography (SWE) have high diagnostic yield for breast lesions, but the optimal parameters remain elusive. Aim: To evaluate the diagnostic yield of SWE and SE for breast lesions by multivariate logistic regression analysis. Material and Methods: A total of 132 patients with 164 breast tumors were enrolled. Breast lesions were classified with the breast imaging reporting and data system (BI-RADS). Maximum (Emax), mean (Emean) and standard deviation (Esd) of elastic modulus, lesion/fat elasticity ratio and elastographic classification were obtained by SWE. Strain ratio (SR) and elastographic score were obtained by SE. A multivariate logistic regression analysis was performed. The diagnostic efficiencies of BI-RADS classification, SWE, SE and their combination were compared plotting ROC curves. Results: There were 110 benign and 54 malignant lesions which had significantly different SWE and SE parameters. The parameters included in the logistic regression were Esd and elastographic classification obtained by SWE and the elastographic score obtained by SE. When combining SWE with SE, Esd, SR and SWE classification were included in the equation. The areas under ROC curves for BI-RADS classification, SWE, SE and their combination were 0.75, 0.88, 0.79 and 0.89, respectively. Conclusions: The diagnostic value of SWE in combination with SE for breast lesions exceeded that of SE or SWE alone. Esd showed a good diagnostic yield when SWE was used alone or combined with SE.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.148 n.9 20202020-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872020000901239en10.4067/S0034-98872020000901239
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Breast Diseases Diagnosis Elasticity Imaging Techniques
spellingShingle	Breast Diseases Diagnosis Elasticity Imaging Techniques Jiang,Huiwen Yu,Xiaodan Zhang,Lina Song,Linxiao Gao,Xiuhua Diagnostic values of shear wave elastography and strain elastography for breast lesions
description	ABSTRACT Background: Strain elastography (SE) and shear wave elastography (SWE) have high diagnostic yield for breast lesions, but the optimal parameters remain elusive. Aim: To evaluate the diagnostic yield of SWE and SE for breast lesions by multivariate logistic regression analysis. Material and Methods: A total of 132 patients with 164 breast tumors were enrolled. Breast lesions were classified with the breast imaging reporting and data system (BI-RADS). Maximum (Emax), mean (Emean) and standard deviation (Esd) of elastic modulus, lesion/fat elasticity ratio and elastographic classification were obtained by SWE. Strain ratio (SR) and elastographic score were obtained by SE. A multivariate logistic regression analysis was performed. The diagnostic efficiencies of BI-RADS classification, SWE, SE and their combination were compared plotting ROC curves. Results: There were 110 benign and 54 malignant lesions which had significantly different SWE and SE parameters. The parameters included in the logistic regression were Esd and elastographic classification obtained by SWE and the elastographic score obtained by SE. When combining SWE with SE, Esd, SR and SWE classification were included in the equation. The areas under ROC curves for BI-RADS classification, SWE, SE and their combination were 0.75, 0.88, 0.79 and 0.89, respectively. Conclusions: The diagnostic value of SWE in combination with SE for breast lesions exceeded that of SE or SWE alone. Esd showed a good diagnostic yield when SWE was used alone or combined with SE.
author	Jiang,Huiwen Yu,Xiaodan Zhang,Lina Song,Linxiao Gao,Xiuhua
author_facet	Jiang,Huiwen Yu,Xiaodan Zhang,Lina Song,Linxiao Gao,Xiuhua
author_sort	Jiang,Huiwen
title	Diagnostic values of shear wave elastography and strain elastography for breast lesions
title_short	Diagnostic values of shear wave elastography and strain elastography for breast lesions
title_full	Diagnostic values of shear wave elastography and strain elastography for breast lesions
title_fullStr	Diagnostic values of shear wave elastography and strain elastography for breast lesions
title_full_unstemmed	Diagnostic values of shear wave elastography and strain elastography for breast lesions
title_sort	diagnostic values of shear wave elastography and strain elastography for breast lesions
publisher	Sociedad Médica de Santiago
publishDate	2020
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872020000901239
work_keys_str_mv	AT jianghuiwen diagnosticvaluesofshearwaveelastographyandstrainelastographyforbreastlesions AT yuxiaodan diagnosticvaluesofshearwaveelastographyandstrainelastographyforbreastlesions AT zhanglina diagnosticvaluesofshearwaveelastographyandstrainelastographyforbreastlesions AT songlinxiao diagnosticvaluesofshearwaveelastographyandstrainelastographyforbreastlesions AT gaoxiuhua diagnosticvaluesofshearwaveelastographyandstrainelastographyforbreastlesions
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Diagnostic values of shear wave elastography and strain elastography for breast lesions

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