Radiogenomics analysis reveals the associations of dynamic contrast-enhanced–MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer

Radiogenomics analysis reveals the associations of dynamic contrast-enhanced–MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer

BackgroundTo investigate reliable associations between dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) features and gene expression characteristics in breast cancer (BC) and to develop and validate classifiers for predicting PAM50 subtypes and prognosis from DCE-MRI non-invasively.Met...

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Bibliographic Details
Main Authors: Wenlong Ming, Yanhui Zhu, Yunfei Bai, Wanjun Gu, Fuyu Li, Zixi Hu, Tiansong Xia, Zuolei Dai, Xiafei Yu, Huamei Li, Yu Gu, Shaoxun Yuan, Rongxin Zhang, Haitao Li, Wenyong Zhu, Jianing Ding, Xiao Sun, Yun Liu, Hongde Liu, Xiaoan Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Oncology
Subjects:
breast cancer
radiogenomics
radiomics
PAM50 subtypes
DCE-MRI
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.943326/full

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