A novel low-cost high-fidelity porcine model of liver metastases for simulation training in robotic parenchyma-preserving liver resection.

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Title: A novel low-cost high-fidelity porcine model of liver metastases for simulation training in robotic parenchyma-preserving liver resection.
Authors: O'Connell RM; Department of Hepatopancreaticobiliary Surgery, Mater Misericordiae University Hospital, Dublin, Ireland. robertmoconnell@rcsi.com., Horne S; RCSI SIM Centre for Simulation Education and Research, RCSI University of Medicine and Health Sciences, Dublin, Ireland., O'Keeffe DA; Department of Surgical Affairs, RCSI University of Medicine and Health Sciences, Dublin, Ireland., Murphy N; RCSI SIM Centre for Simulation Education and Research, RCSI University of Medicine and Health Sciences, Dublin, Ireland., Voborsky M; RCSI SIM Centre for Simulation Education and Research, RCSI University of Medicine and Health Sciences, Dublin, Ireland., Condron C; RCSI SIM Centre for Simulation Education and Research, RCSI University of Medicine and Health Sciences, Dublin, Ireland., Fleming CA; RCSI SIM Centre for Simulation Education and Research, RCSI University of Medicine and Health Sciences, Dublin, Ireland.; Department of Colorectal Surgery, University Hospital Limerick, Limerick, Ireland., Conneely JB; Department of Hepatopancreaticobiliary Surgery, Mater Misericordiae University Hospital, Dublin, Ireland., McGuire BB; Department of Surgical Affairs, RCSI University of Medicine and Health Sciences, Dublin, Ireland.; Department of Urology, St Vincent's University Hospital, Dublin, Ireland.
Source: Journal of robotic surgery [J Robot Surg] 2024 Nov 05; Vol. 18 (1), pp. 394. Date of Electronic Publication: 2024 Nov 05.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: England NLM ID: 101300401 Publication Model: Electronic Cited Medium: Internet ISSN: 1863-2491 (Electronic) Linking ISSN: 18632483 NLM ISO Abbreviation: J Robot Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1863-2491
DOI:10.1007/s11701-024-02151-x