Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics–Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer

Yu, Yunfang; Tan, Yujie; Xie, Chuanmiao; Hu, Qiugen; Ouyang, Jie; Chen, Yongjian; Gu, Yang; Li, Anlin; Lu, Nian; He, Zifan; Yang, Yaping; Chen, Kai; Ma, Jiafan; Li, Chenchen; Ma, Mudi; Li, Xiaohong; Zhang, Rong; Zhong, Haitao; Ou, Qiyun; Zhang, Yiwen; He, Yufang; Li, Gang; Wu, Zhuo; Su, Fengxi; Song, Erwei; Yao, Herui

doi:10.1001/jamanetworkopen.2020.28086

Public

Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics–Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer

Published in JAMA Network Open • Dec 8, 2020

Authors:

Yunfang Yu

Yujie Tan

Chuanmiao Xie

Abstract

Importance: Axillary lymph node metastasis (ALNM) status, typically estimated using an invasive procedure with a high false-negative rate, strongly affects the prognosis of recurrence in breast cancer. However, preoperative noninvasive tools to accurately predict ALNM status and disease-free surviva...

Subject

Medicine

Nomogram

Stage (stratigraphy)

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