The value of machine learning based on magnetic resonance imaging (MRI) and biopsy whole-slide image to predict pathological complete response to breast cancer after neoadjuvant chemotherapy: a two-centre study.

Journal: Clinical radiology
Published Date: Jun 4, 2025

Abstract

AIM: To develop and validate a combined model based on magnetic resonance imaging (MRI), and whole-slide imaging (WSI) to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer.

Authors

  • J Liu
  • X Wang
    3 Laboratory Animal Center, Wenzhou Medical University, Wenzhou, China.
  • N Mao
    Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China.
  • H Hua
    Department of Thyroid Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • X Zhong
    Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • J Han
    Guangxi Collaborative Innovation Center for Biomedicine,Life Science Institute,Guangxi Medical University,Nanning 530021, Guangxi,China.
  • J Chen
    Neurosurgery (J.C.).

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