Machine learning and deep learning models for preoperative detection of lymph node metastasis in colorectal cancer: a systematic review and meta-analysis.

Journal: Abdominal radiology (New York)
Published Date: Nov 10, 2024

Abstract

OBJECTIVE: To evaluate the diagnostic performance of Machine Learning (ML) and Deep Learning (DL) models for predicting preoperative Lymph Node Metastasis (LNM) in Colorectal Cancer (CRC) patients.

Authors

  • Elahe Abbaspour
    Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA.
  • Bahar Mansoori
    Division of Abdominal Imaging, Department of Radiology, University of Washington, Seattle, WA, USA.
  • Sahand Karimzadhagh
    Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA. Sahand.karimzad.md@gmail.com.
  • Majid Chalian
    Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA.
  • Alireza Pouramini
    Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA.
  • Fateme Sheida
    Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
  • Mahyar Daskareh
    Department of Radiology, University of California San Diego, San Diego, CA, USA.
  • Sara Haseli
    Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran.

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