Habitat-Based Radiomics for Revealing Tumor Heterogeneity and Predicting Residual Cancer Burden Classification in Breast Cancer.

Journal: Clinical breast cancer
Published Date: Feb 4, 2025

Abstract

PURPOSE: To investigate the feasibility of characterizing tumor heterogeneity in breast cancer ultrasound images using habitat analysis technology and establish a radiomics machine learning model for predicting response to neoadjuvant chemotherapy (NAC).

Authors

  • Zhi-Yong Li
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • Sheng-Nan Wu
    Department of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Ultrasound, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Peng Lin
    Zhejiang Key Laboratory of Excited-State Energy Conversion and Energy Storage, Department of Chemistry, Zhejiang University, Hangzhou 310058, China.
  • Mei-Chen Jiang
    Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China.
  • Cong Chen
    Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University Dalian 116622 China wangbinpaper@gmail.com.
  • Wen-Jin Lin
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • En-Sheng Xue
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • Rong-Xi Liang
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • Zhen-Hu Lin
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China. Electronic address: 377579875@qq.com.

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