MRI-based habitat analysis for Intratumoral heterogeneity quantification combined with deep learning for HER2 status prediction in breast cancer.

Journal: Magnetic resonance imaging
Published Date: May 23, 2025

Abstract

BACKGROUND: Human epidermal growth factor receptor 2 (HER2) is a crucial determinant of breast cancer prognosis and treatment options. The study aimed to establish an MRI-based habitat model to quantify intratumoral heterogeneity (ITH) and evaluate its potential in predicting HER2 expression status.

Authors

  • Qing-Yu Li
    Background: Huai-he Hospital of Henan University, Kaifeng, China.
  • Yue Liang
    School of Mathematics and Computer Sciences, Nanchang University, Nanchang, China.
  • Lan Zhang
    Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
  • Jia-Hao Li
    Background: Huai-he Hospital of Henan University, Kaifeng, China.
  • Bin-Jie Wang
  • Chang-Fu Wang
    Background: Huai-he Hospital of Henan University, Kaifeng, China. Electronic address: 1974103323@qq.com.

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