Multimodal machine learning for staging laparoscopy: a combined image analysis and morphologic tool for the discrimination of peritoneal metastasis
A novel MML model combining the visual and morphologic characteristics of peritoneal lesions was developed and internally validated, demonstrating good discriminative power for classifying PM during SL. This model shows promise as an intraoperative decision-support tool for surgeons, enhancing PM recognition and potentially reducing unnecessary biopsies.
Authors
- Wouter Willaert (ORCID: https://orcid.org/0000-0002-0885-6749)
- Sharareh Fadaei
- Wesley De Neve (ORCID: https://orcid.org/0000-0002-8190-3839)
- Nikdokht Rashidian (ORCID: https://orcid.org/0000-0003-2654-4447)
- Adnan Alseidi (ORCID: https://orcid.org/0000-0002-0365-1955)
- Wim Ceelen (ORCID: https://orcid.org/0000-0001-7692-4419)
- Amir Ashraf‐Ganjouei (ORCID: https://orcid.org/0000-0003-2745-5032)
- Francesca Tozzi (ORCID: https://orcid.org/0000-0003-1597-2681)
- Mohamed A. Adam (ORCID: https://orcid.org/0000-0002-0059-7615)
- Seyed Amir Mousavi (ORCID: https://orcid.org/0000-0001-8679-5227)
- Jane Wang (ORCID: https://orcid.org/0000-0003-3705-3993)
- Fernanda Romero‐Hernández (ORCID: https://orcid.org/0000-0001-6014-9251)
- Matthias Van Liefferinge
- Dongin Moon
- Ho-Min Park (ORCID: https://orcid.org/0009-0004-9143-939X)
Institutions
- HOGENT University of Applied Sciences and Arts (BE)
- University of California, San Francisco (US)
- Ghent University Hospital (BE)
- Ghent University (BE)
- Cancer Research Institute Ghent (BE)
- Ghent University Global Campus (KR)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1097/js9.0000000000003448
- Citations
- 1
- Primary Topic
- Intraperitoneal and Appendiceal Malignancies
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- Universitair Ziekenhuis Gent
- Universiteit Gent
- Bijzonder Onderzoeksfonds UGent