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Updated: Aug 12, 2026

Laparoscopic Common Bile Duct Exploration in Patients with a Previous History of Biliary Tract Surgery
Published on: February 10, 2023
Beyond Critical View of Safety: New Predictors of Objective Assessment of Critical View of Safety in Laparoscopic
Ravi Gupta1, Aditya Gaurav1, Gaurav Gupta1
1Department of General Surgery, All India Institute of Medical Sciences, Gorakhpur, UP, India.
Abstract:
BackgroundLaparoscopic cholecystectomy (LC) has revolutionised gallstone management. However, the incidence of bile duct injury (BDI) remains unchanged. Achieving the critical view of safety (CVS) is the standard endpoint of LC dissection to prevent BDI. This study aimed to identify preoperative, intraoperative, and novel predictors of CVS quality using intraoperative doublet photography.MethodsThis prospective, single-centre observational study (March 2024-January 2025) evaluated CVS achievement in patients undergoing elective LC. Experienced surgeons assessed anterior and posterior view photographs. We analysed predictors of CVS quality, including novel parameters such as critical angle, critical distance, and critical area ratio.ResultsThe study included 64 patients undergoing elective LC. CVS was satisfactory in 82.8% (53) and unsatisfactory in 17.2% (11) of the participants. Significant predictors of CVS quality included preoperative biochemical factors like erythrocyte sedimentation rate (OR: 4.06, 95% CI: 0.96-17.09, P = .05) and alanine aminotransferase (OR: 5.48, 95% CI: 1.81-25.47, P = .02); radiological findings including stone impacted at gall bladder neck (OR: 9.52, 95% CI: 1.75-51.77, P = .009); intraoperative variables such as modified Nassar grade (OR: 7.42, 95% CI: 1.72-32.00, P = .007) and Hartmann's pouch stone (OR: 4.47, 95% CI: 1.00- 19.93, P = .04); and certain novel parameters including critical angle ratio anterior (AOR: 9.87, 95% CI: 1.1-83.12, P = .03).ConclusionsThis observational study introduces simple metrics for objective CVS assessment using novel parameters such as critical angle, distance, and area to improve grading accuracy. These parameters may support artificial intelligence tools for intraoperative CVS quality assessment, promoting safer cholecystectomy and contributing to a standardised grading system.
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