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Imaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer 期刊论文

编号：

29e36be3-ea6c-4df0-9f51-632381698c07
作者：

Zheng, FengYang^[1,2];Lu, Qing(陆清)^[1]Huang, BeiJian(黄备建)*^[1,2]Xia, HanSheng(夏罕生)^[1]Yan, LiXia(严丽霞)Wang, Xi(王希)^[1,2]Yuan, Wei^[3];Wang, WenPing(王文平)^[1,2]
语种：

English
期刊：

EUROPEAN JOURNAL OF RADIOLOGY ISSN：0720-048X 2017 年 86 卷 (267 - 275) ; JAN
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关键词：

Automated breast volume scanner Ultrasonography Breast cancer Molecular subtype Retraction phenomenon
摘要：

Objectives: To investigate the correlation between the imaging features obtained by an automated breast volume scanner (ABVS) and molecular subtypes of breast cancer. Methods: We examined 303 malignant breast tumours by ABVS for specific imaging features and by immunohistochemical analysis to determine the molecular subtype. ABVS imaging features, including retraction phenomenon, shape, margins, echogenicity, post-acoustic features, echogenic halo, and calcifications were analysed by univariate and multivariate logistic regression analyses to determine the significant predictive factors of the molecular subtypes. Results: By univariate logistic regression analysis, the predictive factors of the Luminal-A subtype (n = 128) were retraction phenomenon (odds ratio [OR] = 10.188), post-acoustic shadowing (OR= 5.112), and echogenic halo (OR =3.263, P<0.001). The predictive factors of the Human-epidermal-growth-factor receptor -2-amplified subtype (n = 39) were calcifications (OR = 6.210), absence of retraction phenomenon (OR = 4.375), non-mass lesions (OR = 4.286, P<0.001), absence of echogenic halo (OR = 3.851, P=0.035), and post-acoustic enhancement (OR = 3.641, P=0.008). The predictors for the Triple-Negative subtype (n =47) were absence of retraction phenomenon (OR= 5.884), post-acoustic enhancement (OR= 5.255, P<0.001), absence of echogenic halo (OR = 4.138, P=0.002), and absence of calcifications (OR = 3.363, P=0.001). Predictors for the Luminal-B subtype (n = 89) had a relatively lower association (OR <= 2.328). By multivariate logistic regression analysis, retraction phenomenon was the strongest independent predictor for the Luminal-A subtype (OR= 9.063, P<0.001) when present and for the Triple-Negative subtype (OR = 4.875, P<0.001) when absent. Conclusions: ABVS imaging features, especially retraction phenomenon, have a strong correlation with the molecular subtypes, expanding the scope of ultrasound in identifying breast cancer subtypes with confidence. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
推荐引用方式
GB/T 7714：

Zheng Feng-Yang,Lu Qing,Huang Bei-Jian, et al. Imaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer [J].EUROPEAN JOURNAL OF RADIOLOGY,2017,86:267-275.
APA：

Zheng Feng-Yang,Lu Qing,Huang Bei-Jian,Xia Han-Sheng,&Wang Wen-Ping.(2017).Imaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer .EUROPEAN JOURNAL OF RADIOLOGY,86:267-275.
MLA：

Zheng Feng-Yang, et al. "Imaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer" .EUROPEAN JOURNAL OF RADIOLOGY 86(2017):267-275.

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