ArticleSurgical endoscopy2024
Laparoscopic cholecystectomy critical view of safety (LC-CVS): a multi-national validation study of an objective, procedure-specific assessment using video-based assessment (VBA).
Article in Surgical endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Entrustable professional activities in medical education: strategies and results - a systematic review.Medical education online · 2026Pooled it
- Objective technical skills assessment in laparoscopic cholecystectomy: a systematic review of manual, kinematic, and AI-based tools.Surgical endoscopy · 2026Pooled it
- Systematic review on the use of artificial intelligence to identify anatomical structures during laparoscopic cholecystectomy: a tool towards the future.Langenbeck's archives of surgery · 2025Pooled it
- Artificial Intelligence for Automated Recognition of Hepatocystic Anatomy During Laparoscopic Cholecystectomy: Current Evidence, Clinical Readiness, and Future Directions.Medicina (Kaunas, Lithuania) · 2026Review
- TempoSafe-CVS: A Temporal Multi-scale Deep Learning Framework for Automated Assessment of the Critical View of Safety in Laparoscopic Cholecystectomy.Journal of imaging informatics in medicine · 2026Article
- [Application of artificial intelligence for surgical skill assessment and quality control in minimally invasive surgery: progress, problems and prospect].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Review
- Transforming Surgical Training With AI Techniques for Training, Assessment, and Evaluation: Scoping Review.Journal of medical Internet research · 2025Article
- Artificial intelligence assisted operative anatomy recognition in endoscopic pituitary surgery.NPJ digital medicine · 2024Article
Corrections and comments
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Authors and funding
15 authors at 12 institutions in 10 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA novel 6-item objective, procedure-specific assessment for laparoscopic cholecystectomy incorporating the critical view of safety (LC-CVS OPSA) was developed to support trainee formative and summative assessments. The LC-CVS OPSA included two retraction items (fundus and infundibulum retraction) and four CVS items (hepatocystic triangle visualization, gallbladder-liver separation, cystic artery identification, and cystic duct identification). The scoring rubric for retraction consisted of poor (frequently outside of defined range), adequate (minimally outside of defined range) and excellent (consistently inside defined range) and for CVS items were "poor-unsafe", "adequate-safe", or "excellent-safe".
methodsA multi-national consortium of 12 expert LC surgeons applied the OPSA-LC CVS to 35 unique LC videos and one duplicate video. Primary outcome measure was inter-rater reliability as measured by Gwet's AC
resultsInter-rater reliability was high for all six items ranging from 0.76 (hepatocystic triangle visualization) to 0.86 (cystic duct identification). Intra-rater reliability for the single duplicate video was substantially higher across the six items ranging from 0.91 to 1.00.
conclusionsThe novel 6-item OPSA LC CVS demonstrated high inter-rater reliability when tested with a multi-national consortium of LC expert surgeons. This brief instrument focused on safe surgical practice was designed to support the implementation of entrustable professional activities into busy surgical training programs. Instrument use coupled with video-based assessments creates novel datasets with the potential for artificial intelligence development including computer vision to drive assessment automation.
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Registered trials
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.