Use of artificial intelligence for the prediction of lymph node metastases in early-stage colorectal cancer: systematic review.

Journal: BJS open
Published Date: Mar 1, 2024

Abstract

BACKGROUND: Risk evaluation of lymph node metastasis for early-stage (T1 and T2) colorectal cancers is critical for determining therapeutic strategies. Traditional methods of lymph node metastasis prediction have limited accuracy. This systematic review aimed to review the potential of artificial intelligence in predicting lymph node metastasis in early-stage colorectal cancers.

Authors

  • Nasya Thompson
    Department of Surgery, University of Otago, Christchurch, New Zealand.
  • Arthur Morley-Bunker
    Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.
  • Jared McLauchlan
    Department of Surgery, Te Whatu Ora - Health New Zealand Waitaha Canterbury, Christchurch, New Zealand.
  • Tamara Glyn
    Department of Surgery, University of Otago, Christchurch, New Zealand.
  • Tim Eglinton
    Department of Surgery, University of Otago, Christchurch, New Zealand.

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