Deep learning-based breast MRI for predicting axillary lymph node metastasis: a systematic review and meta-analysis.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
PMID: 40165212

Abstract

BACKGROUND: To perform a systematic review and meta-analysis that assesses the diagnostic performance of deep learning algorithms applied to breast MRI for predicting axillary lymph nodes metastases in patients of breast cancer.

Authors

  • Chia-Fen Lee
    Department of Radiology, Changhua Christian Hospital, Changhua, Taiwan.
  • Joseph Lin
    Department of Surgery, University of California San Francisco, 513 Parnassus Avenue, S-321, San Francisco, CA, 94143-0470, USA.
  • Yu-Len Huang
    Department of Computer science, Tunghai University, Taichung, Taiwan.
  • Shou-Tung Chen
    Department of Surgery, Division of General Surgery, Changhua Christian Hospital, Changhua, Taiwan.
  • Chen-Te Chou
    Department of Radiology, Changhua Christian Hospital, Changhua, Taiwan.
  • Dar-Ren Chen
    Department of Surgery, Division of General Surgery, Changhua Christian Hospital, Changhua, Taiwan.
  • Wen-Pei Wu
    Department of Radiology, Changhua Christian Hospital, Changhua, Taiwan. wenpei1220@gmail.com.

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