Diagnostic accuracy of CT-based radiomics and deep learning for predicting lymph node metastasis in esophageal cancer.

Journal: Clinical imaging
Published Date: Jun 16, 2024

Abstract

BACKGROUND: Esophageal cancer remains a global challenge due to late diagnoses and limited treatments. Lymph node metastasis (LNM) is crucial for prognosis, yet traditional diagnostics fall short. Integrating radiomics and deep learning (DL) with CT imaging for LNM diagnosis could revolutionize prognostic assessment and treatment planning.

Authors

  • Payam Jannatdoust
    Department of Radiology, Keck School of Medicine, University of Southern California (USC), 1441 Eastlake Avenue Ste 2315, Los Angeles, CA 90089 (A.H., M.A., P.V., P.J., P.S., A.G.).
  • Parya Valizadeh
    Department of Radiology, Keck School of Medicine, University of Southern California (USC), 1441 Eastlake Avenue Ste 2315, Los Angeles, CA 90089 (A.H., M.A., P.V., P.J., P.S., A.G.).
  • Mohammad-Taha Pahlevan-Fallahy
    School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Amir Hassankhani
    Department of Radiology, Keck School of Medicine, University of Southern California (USC), 1441 Eastlake Avenue Ste 2315, Los Angeles, CA 90089 (A.H., M.A., P.V., P.J., P.S., A.G.); Department of Radiology, Mayo Clinic, Rochester, Minnesota (A.H., M.A.). Electronic address: ah_620@usc.edu.
  • Melika Amoukhteh
    Department of Radiology, Keck School of Medicine, University of Southern California (USC), 1441 Eastlake Avenue Ste 2315, Los Angeles, CA 90089 (A.H., M.A., P.V., P.J., P.S., A.G.); Department of Radiology, Mayo Clinic, Rochester, Minnesota (A.H., M.A.).
  • Sadra Behrouzieh
    School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: Sadrabehrouzieh@gmail.com.
  • Delaram J Ghadimi
    Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.
  • Cem Bilgin
    Faculty of Medicine, Üsküdar University, Istanbul, Turkey.
  • Ali Gholamrezanezhad
    Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA.

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