Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy.

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第一作者： Mingming,Ma

第一单位： Department of Radiology, Peking University First Hospital, Beijing, China.

作者： Mingming,Ma ^[1] ; Liangyu,Gan ^[2] ; Yinhua,Liu ^[2] ; Yuan,Jiang ^[1] ; Ling,Xin ^[2] ; Yi,Liu ^[1] ; Naishan,Qin ^[1] ; Yuanjia,Cheng ^[2] ; Qian,Liu ^[2] ; Ling,Xu ^[2] ; Yaofeng,Zhang ^[3] ; Xiangpeng,Wang ^[3] ; Xiaodong,Zhang ^[1] ; Jingming,Ye ^[4] ; Xiaoying,Wang ^[5]

作者单位： Department of Radiology, Peking University First Hospital, Beijing, China. ^[1] Breast Disease Center, Peking University First Hospital, Beijing, China. ^[2] Beijing Smart Tree Medical Technology Co. Ltd., Beijing, China. ^[3] Breast Disease Center, Peking University First Hospital, Beijing, China. Electronic address: md_ye@sina.com. ^[4] Department of Radiology, Peking University First Hospital, Beijing, China. Electronic address: wangxiaoying@bjmu.edu.cn. ^[5]

关键词 DCE-MRI Deep learning Neoadjuvant chemotherapy Radiomics Recurrence Triple-negative breast cancer

主题词人类(Humans);磁共振成像(Magnetic Resonance Imaging);肿瘤辅助疗法(Neoadjuvant Therapy);预后(Prognosis);回顾性研究(Retrospective Studies)

DOI 10.1016/j.ejrad.2021.110095

PMID 34890936

发布时间 2022-01-03

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