Deep learning neural network prediction of postoperative complications in patients undergoing laparoscopic right hemicolectomy with or without CME and CVL for colon cancer: insights from SICE (Società Italiana di Chirurgia Endoscopica) CoDIG data.

Journal: Techniques in coloproctology
Published Date: Jun 11, 2025

Abstract

BACKGROUND: Postoperative complications in colorectal surgery can significantly impact patient outcomes and healthcare costs. Accurate prediction of these complications enables targeted perioperative management, improving patient safety and optimizing resource allocation. This study evaluates the application of machine learning (ML) models, particularly deep learning neural networks (DLNN), in predicting postoperative complications following laparoscopic right hemicolectomy for colon cancer.

Authors

  • G Anania
    Department of Medical Science, University of Ferrara, Ferrara, FE, Italy.
  • P Mascagni
    Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, RM, Italy.
  • M Chiozza
    Department of Medical Science, University of Ferrara, Ferrara, FE, Italy.
  • G Resta
    Department of Medical Science, University of Ferrara, Ferrara, FE, Italy.
  • A Campagnaro
    Department of Medical Science, University of Ferrara, Ferrara, FE, Italy. alberto.campagnaro@unife.it.
  • S Pedon
    Department of Medical Science, University of Ferrara, Ferrara, FE, Italy.
  • G Silecchia
    Department of Scienze Medico Chirurgiche e Medicina Traslazionale, University of Roma S. Andrea University Hospital, Rome, RM, Italy.
  • D Cuccurullo
    Department of Laparoscopic and Robotic General Surgery, Azienda Ospedaliera dei Colli "Monaldi Hospital", 80131, Naples, Italy.
  • C Bergamini
    Department of Emergency Surgery, University Hospital of Careggi, Florence, FI, Italy.
  • G Sica
    Minimally Invasive Unit, Department of Surgical Science, University Tor Vergata, Rome, RM, Italy.
  • V Nicola
    Department of Mathematics and Informatics, University of Ferrara, Ferrara, FE, Italy.
  • M Alberti
    Department of Mathematics and Informatics, University of Ferrara, Ferrara, FE, Italy.
  • M Ortenzi
    Department of General Surgery, Università Politecnica delle Marche, Ancona, AN, Italy.
  • R Reddavid
    Division of Surgical Oncology and Digestive Surgery, Department of Oncology, San Luigi University Hospital, University of Turin, Orbassano, Turin, TN, Italy.
  • D Azzolina
    Biostatistics and Clinical Trial Methodology Unit, Clinical Research Center DEMeTra, Department of Translational Medicine, University of Naples Federico II, Naples, Italy.

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