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◆ Annals of Hepato-Biliary-Pancreatic Surgery2026-04-08· SAFER

Validation of the parkland grading scale in predicting the critical view of safety during laparoscopic cholecystectomy: A prospective cohort study with implications for future artificial intelligence ground truth establishment

Hoai Kim Nguyen, Thien Lai Vo, H Tran, Thanh Phuoc Bui, Xuan Binh Dau, Phuoc Cong Thanh Nguyen

原始摘要(英文原文)· Original abstract
Backgrounds/Aims: The critical view of safety (CVS) prevents bile duct injury, but severe inflammation hinders its achievement. This study evaluated the parkland grading scale (PGS) as a real-time intraoperative predictor of CVS attainment in a Southeast Asian population, establishing standardized clinical data for future artificial intelligence applications. Methods: This prospective observational study (January-June 2025) included 88 consecutive patients undergoing laparoscopic cholecystectomy by a single surgeon. PGS was assessed upon initial laparoscopic inspection. We analyzed correlations between PGS, CVS attainment (Strasberg's criteria), operative time, and bail-out procedures using Spearman's correlation and multivariate logistic regression. Results: < 0.001) and strong positive correlations with operative time and blood loss. A PGS threshold of 4 accurately predicted CVS failure (area under the curve = 0.863). Bail-out procedures were necessary in 11 cases (12.5%), all occurring in the PGS ≥ 4 group. Advanced age and diabetes mellitus were independent risk factors for CVS failure. Conclusions: The PGS serves as a precise intraoperative early warning system. A score ≥ 4 indicates a significant risk of CVS failure, prompting safer bail-out strategies. Additionally, this study provides a standardized dataset vital for training future autonomous surgical risk assessment models.
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Validation of the parkland grading scale in predicting the critical view of safety during laparoscopic cholecystectomy: A prospective cohort study with implications for future artificial intelligence ground truth establishment — 科研速览 Science Skim