Radiomics and deep learning models for CT pre-operative lymph node staging in pancreatic ductal adenocarcinoma: A systematic review and meta-analysis.

Journal: European journal of radiology
Published Date: May 18, 2024

Abstract

PURPOSE: To evaluate the diagnostic accuracy of computed tomography (CT)-based radiomic algorithms and deep learning models to preoperatively identify lymph node metastasis (LNM) in patients with pancreatic ductal adenocarcinoma (PDAC).

Authors

  • Roberto Castellana
    Diagnostic and Interventional Radiology, "Parini" Regional Hospital, Azienda USL della Valle d'Aosta, Viale Ginevra 3 11100, Aosta, Italy. Electronic address: rcastellana@ausl.vda.it.
  • Salvatore Claudio Fanni
    Department of Translational Research, Academic Radiology, University of Pisa, Pisa, Italy.
  • Claudia Roncella
    Radiology Unit, Apuane Hospital, Azienda USL Toscana Nord Ovest, Via Mattei 21, 54100, Massa, Italy.
  • Chiara Romei
    Department of Diagnostic Imaging, Diagnostic Radiology 2, Pisa University Hospital, Via Paradisa 2, 56124, Pisa, Italy.
  • Massimiliano Natrella
    Diagnostic and Interventional Radiology, "Parini" Regional Hospital, Azienda USL della Valle d'Aosta, Viale Ginevra 3 11100, Aosta, Italy.
  • Emanuele Neri
    Department of Radiological Sciences, University of Pisa, Via Savi 10, 56126 Pisa, Italy.

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