Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer.

Journal: European journal of cancer (Oxford, England : 1990)
Published Date: Apr 1, 2021

Abstract

PURPOSE: The aim of the study was to develop and validate a deep learning radiomic nomogram (DLRN) for preoperatively assessing breast cancer pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) based on the pre- and post-treatment ultrasound.

Authors

  • Meng Jiang
    Affiliated Hospital of Nanjing University of TCM, Jiangsu Provincial Hospital of TCM, Nanjing 210029,China.
  • Chang-Li Li
    Department of Geratology, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, 11 Lingjiaohu Avenue, Wuhan, 430015, PR China.
  • Xiao-Mao Luo
    Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, 650118, China.
  • Zhi-Rui Chuan
    Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, 650118, China.
  • Wen-Zhi Lv
    Department of Artificial Intelligence, Julei Technology Company, Wuhan, 430030, China.
  • Xu Li
    Department of Critical Care Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
  • Xin-Wu Cui
    Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Christoph F Dietrich
    Sino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.

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