Anatomy-guided computational framework for classifying vascular ligation and lymphadenectomy in oncologic sigmoidectomy: toward AI-supported surgical auditing
This standardized anatomical-radiological workflow, integrating cadaveric dissection, CT-based vascular analysis, and AI-assisted 3D reconstruction, provides an objective tool to classify the level of vascular ligation performed in oncological sigmoidectomy and to anatomically categorize locoregional recurrence, establishing a foundation for future surgical audit and outcome studies, and representing a step toward AI-supported surgical audit systems capable of standardizing vascular ligation classification and recurrence mapping.
Authors
- Álvaro García-Granero García-Fuster
- Sebastián Jerí‐McFarlane (ORCID: https://orcid.org/0000-0003-0319-2872)
- Noemi Torres-Marí
- Francisco Xavier González-Argente
- Margarita Gamundí-Cuesta
- Juan Díaz-Ferrando
- Aina Ochogavía-Seguí
- Guillermo Gómez-Gomes
Institutions
- Fent Innovative Software Solutions (Spain) (ES)
- Health Research Institute of the Balearic Islands (ES)
- Hospital Universitario Son Espases (ES)
- Universitat de les Illes Balears (ES)
Publication Details
- Journal
- International Journal of Colorectal Disease
- Published
- 2026-01-03
- DOI
- https://doi.org/10.1007/s00384-025-05046-x
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00