Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.

Journal: European radiology
Published Date: Mar 28, 2023

Abstract

OBJECTIVES: To investigate the predictive performance of the deep learning radiomics (DLR) model integrating pretreatment ultrasound imaging features and clinical characteristics for evaluating therapeutic response after neoadjuvant chemotherapy (NAC) in patients with breast cancer.

Authors

  • Fei-Hong Yu
    Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Shu-Mei Miao
    Department of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Cui-Ying Li
    Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Jing Hang
    Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
  • Jing Deng
    Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Xin-Hua Ye
    Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Yun Liu
    Google Health, Palo Alto, CA USA.

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