Quantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy

Abstract A quantitative analysis of contrast-enhanced spectral mammography (CESM) enhancement was conducted for the early prediction of the pathological response after neoadjuvant chemotherapy (NAC). Retrospective analysis of the data of 111 patients was conducted, and all of them underwent NAC in o...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Dong Xing, Ning Mao, Jianjun Dong, Heng Ma, Qianqian Chen, Yongbin Lv
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d319479541494409a863b08a7a716eef
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d319479541494409a863b08a7a716eef
record_format	dspace
spelling	oai:doaj.org-article:d319479541494409a863b08a7a716eef2021-12-02T11:39:44ZQuantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy10.1038/s41598-021-85353-92045-2322https://doaj.org/article/d319479541494409a863b08a7a716eef2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85353-9https://doaj.org/toc/2045-2322Abstract A quantitative analysis of contrast-enhanced spectral mammography (CESM) enhancement was conducted for the early prediction of the pathological response after neoadjuvant chemotherapy (NAC). Retrospective analysis of the data of 111 patients was conducted, and all of them underwent NAC in our hospital and surgical resection after the end of all cycles from January 2018 to May 2019. They were divided into pathological complete response (PCR) and non-PCR groups. We determined whether a statistical difference in the percentage of CESM grey value reduction (ΔCGV) was present in the PCR and non-PCR groups and whether a statistical difference was observed in the diagnostic efficiency of craniocaudal (CC) and mediolateral oblique (MLO) view subtraction images. Independent sample t-test was used to compare different groups, the receiver operating characteristic (ROC) curve was used to compare the diagnostic efficacy of CC and MLO for pathological response after NAC, and the Delong test was used to compare the area under the ROC curve (AUC). Statistical significance was considered at P < 0.05. A statistical difference was observed in the ΔCGV in the PCR and non-PCR groups. No statistical difference was observed in the AUCs of CC and MLO view subtraction images. The ΔCGV can be used as a quantitative index to predict PCR early, and no statistical difference was observed in the diagnostic efficacy of CC and MLO view subtraction images.Dong XingNing MaoJianjun DongHeng MaQianqian ChenYongbin LvNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dong Xing Ning Mao Jianjun Dong Heng Ma Qianqian Chen Yongbin Lv Quantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy
description	Abstract A quantitative analysis of contrast-enhanced spectral mammography (CESM) enhancement was conducted for the early prediction of the pathological response after neoadjuvant chemotherapy (NAC). Retrospective analysis of the data of 111 patients was conducted, and all of them underwent NAC in our hospital and surgical resection after the end of all cycles from January 2018 to May 2019. They were divided into pathological complete response (PCR) and non-PCR groups. We determined whether a statistical difference in the percentage of CESM grey value reduction (ΔCGV) was present in the PCR and non-PCR groups and whether a statistical difference was observed in the diagnostic efficiency of craniocaudal (CC) and mediolateral oblique (MLO) view subtraction images. Independent sample t-test was used to compare different groups, the receiver operating characteristic (ROC) curve was used to compare the diagnostic efficacy of CC and MLO for pathological response after NAC, and the Delong test was used to compare the area under the ROC curve (AUC). Statistical significance was considered at P < 0.05. A statistical difference was observed in the ΔCGV in the PCR and non-PCR groups. No statistical difference was observed in the AUCs of CC and MLO view subtraction images. The ΔCGV can be used as a quantitative index to predict PCR early, and no statistical difference was observed in the diagnostic efficacy of CC and MLO view subtraction images.
format	article
author	Dong Xing Ning Mao Jianjun Dong Heng Ma Qianqian Chen Yongbin Lv
author_facet	Dong Xing Ning Mao Jianjun Dong Heng Ma Qianqian Chen Yongbin Lv
author_sort	Dong Xing
title	Quantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy
title_short	Quantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy
title_full	Quantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy
title_fullStr	Quantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy
title_full_unstemmed	Quantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy
title_sort	quantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d319479541494409a863b08a7a716eef
work_keys_str_mv	AT dongxing quantitativeanalysisofcontrastenhancedspectralmammographygreyvalueforearlypredictionofpathologicalresponseofbreastcancertoneoadjuvantchemotherapy AT ningmao quantitativeanalysisofcontrastenhancedspectralmammographygreyvalueforearlypredictionofpathologicalresponseofbreastcancertoneoadjuvantchemotherapy AT jianjundong quantitativeanalysisofcontrastenhancedspectralmammographygreyvalueforearlypredictionofpathologicalresponseofbreastcancertoneoadjuvantchemotherapy AT hengma quantitativeanalysisofcontrastenhancedspectralmammographygreyvalueforearlypredictionofpathologicalresponseofbreastcancertoneoadjuvantchemotherapy AT qianqianchen quantitativeanalysisofcontrastenhancedspectralmammographygreyvalueforearlypredictionofpathologicalresponseofbreastcancertoneoadjuvantchemotherapy AT yongbinlv quantitativeanalysisofcontrastenhancedspectralmammographygreyvalueforearlypredictionofpathologicalresponseofbreastcancertoneoadjuvantchemotherapy
_version_	1718395730806177792

Quantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy

Ejemplares similares