Evidence map›Paper›PMID 41452571›Full record

ArticleJournal of robotic surgery2025

A swine model for surgical training in various types of robotic liver resection with surgical videos.

Na Reum Kim, Gi Hong Choi, Dai Hoon Han, Jin Sub Choi

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Article in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Na Reum KimDepartment of Surgery, Division of Hepato-biliary and Pancreatic Surgery, Yonsei University College of Medicine, Ludlow Faculty Research Building, 50 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.
Gi Hong ChoiDepartment of Surgery, Division of Hepato-biliary and Pancreatic Surgery, Yonsei University College of Medicine, Ludlow Faculty Research Building, 50 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea. CHOIGH@yuhs.ac.
Dai Hoon HanDepartment of Surgery, Division of Hepato-biliary and Pancreatic Surgery, Yonsei University College of Medicine, Ludlow Faculty Research Building, 50 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.
Jin Sub ChoiDepartment of Surgery, Division of Hepato-biliary and Pancreatic Surgery, Yonsei University College of Medicine, Ludlow Faculty Research Building, 50 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic liver resection (RLR) presents technical challenges due to the lack of standardized procedures and limited opportunities for hands-on training. To overcome these limitations, we developed a swine model designed to facilitate stepwise education across various RLR techniques. This model was supplemented with surgical videos to provide detailed procedural guidance.

methodsA standardized single-day curriculum was implemented using a swine model to simulate key components of RLR. Training included non-anatomical and anatomical resections using the extrahepatic Glissonean approach, parenchymal transection guided by indocyanine green fluorescence or ischemic demarcation, and advanced procedures such as hilar dissection, biliary reconstruction, and portal vein anastomosis. All procedures were recorded and edited into instructional videos. Multiple workshops were conducted through the Korean Association of Liver Surgery.

resultsThe swine model reliably reproduced key robotic liver surgery techniques, providing realistic tissue handling, stable operative exposure, and effective practice of parenchymal transection using both harmonic and bipolar energy devices. The accompanying educational videos highlighted key procedural steps and enhanced conceptual understanding. Survey responses from participating surgeons demonstrated improved technical confidence, better understanding of robotic liver anatomy and transection techniques, and increased clinical adoption of RLR.

conclusionsThis swine-based educational model provides a practical, high-fidelity, and reproducible environment for structured RLR training. When integrated with instructional surgical videos, it offers a comprehensive educational tool that supports early-career surgeons in achieving proficiency in robotic liver surgery.

Indexed as

HepatectomyLiverRobotic Surgical ProceduresAnimalsCurriculumHumansModels, AnimalSwineVideo RecordingAnimal modelRobotic educationRobotic liver resectionSurgical simulationTraining curriculum

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.