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
The DLNN model demonstrated superior predictive performance for postoperative complications compared to other ML models. The findings highlight the potential of integrating ML models into clinical practice to identify high-risk patients and enable tailored perioperative care. Future research should focus on external validation and implementation of these models in diverse clinical settings to further optimize surgical outcomes.
Authors
- Gabriele Anania (ORCID: https://orcid.org/0000-0002-9010-8087)
- Monica Ortenzi (ORCID: https://orcid.org/0000-0002-6508-6488)
- Alberto Campagnaro (ORCID: https://orcid.org/0000-0002-9967-7657)
- Sabrina Pedon (ORCID: https://orcid.org/0000-0001-9713-3560)
- Matteo Chiozza (ORCID: https://orcid.org/0000-0002-0879-5229)
- Gianfranço Silecchia (ORCID: https://orcid.org/0000-0003-2356-0505)
- Rossella Reddavid (ORCID: https://orcid.org/0000-0003-0603-9953)
- Giuseppe Resta (ORCID: https://orcid.org/0000-0002-1649-2279)
- Carlo Bergamini (ORCID: https://orcid.org/0000-0002-7277-6735)
- Vincenzo Di Nicola (ORCID: https://orcid.org/0000-0002-5616-2354)
- Pietro Mascagni (ORCID: https://orcid.org/0000-0001-7288-3023)
- Mark Alberti (ORCID: https://orcid.org/0000-0001-8499-816X)
- Danila Azzolina (ORCID: https://orcid.org/0000-0002-8185-5742)
- Diego Cuccurullo (ORCID: https://orcid.org/0000-0001-8902-8058)
- Giuseppe Sica
Institutions
- University of Rome Tor Vergata (IT)
- Marche Polytechnic University (IT)
- University of Ferrara (IT)
- Agostino Gemelli University Polyclinic (IT)
- Azienda Ospedaliero-Universitaria Careggi (IT)
- CTO Andrea Alesini (IT)
- Federico II University Hospital (IT)
- Policlinico Tor Vergata (IT)
- Ospedale Monaldi (IT)
- Ospedale San Luigi Gonzaga (IT)
- Institut de Chirurgie Guidée par l'Image (FR)
- University of Turin (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Techniques in Coloproctology
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1007/s10151-025-03165-9
- Citations
- 3
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 3.14
Funders
- LOEWE Zentrum AdRIA
- Università degli Studi di Ferrara