Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer

Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer

ObjectiveTo investigate whether radiomics features extracted from multi-parametric MRI combining machine learning approach can predict molecular subtype and androgen receptor (AR) expression of breast cancer in a non-invasive way.Materials and MethodsPatients diagnosed with clinical T2–4 stage breas...

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Bibliographic Details
Main Authors: Yuhong Huang, Lihong Wei, Yalan Hu, Nan Shao, Yingyu Lin, Shaofu He, Huijuan Shi, Xiaoling Zhang, Ying Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Oncology
Subjects:
breast cancer
radiomics
molecular subtype
androgen receptor
magnetic resonance imaging
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.706733/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.706733/full

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