Deep-learning model to improve histological grading and predict upstaging of atypical ductal hyperplasia / ductal carcinoma in situ on breast biopsy.

Journal: Histopathology
PMID: 38288642

Abstract

AIMS: Risk stratification of atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS), diagnosed using breast biopsy, has great clinical significance. Clinical trials are currently exploring the possibility of active surveillance for low-risk lesions, whereas axillary lymph node staging may be considered during surgical planning for high-risk lesions. We aimed to develop a machine-learning algorithm based on whole-slide images of breast biopsy specimens and clinical information to predict the risk of upstaging to invasive breast cancer after wide excision.

Authors

  • Chung-Yen Huang
    Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan.
  • Ruey-Feng Chang
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 10617, Taiwan and Department of Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan.
  • Chih-Yung Lin
    Center for Intelligent Healthcare, National Taiwan University Hospital, Taipei, Taiwan.
  • Min-Shu Hsieh
    Department of Pathology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
  • Po-Chun Liao
    Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Yu-Jui Wang
    Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan.
  • Yu-Chien Kao
    Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Lorenzo Porta
    School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
  • Pin-Yu Lin
    Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan.
  • Chien-Chang Lee
    National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan.
  • Yi-Hsuan Lee
    Department of Surgery, National Taiwan University Hospital Biomedical Park Hospital, Zhubei City, Hsinchu County, Taiwan.

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