A 4-tier Protocolized Radiological Classification System for Leaks Following Sleeve Gastrectomy

Area of Science:

• Bariatric Surgery
• Surgical Complications
• Medical Imaging

Background:

• Sleeve gastrectomy leaks are serious complications with variable outcomes.
• Current management lacks a predictive tool for outcomes.
• A standardized classification is needed to address heterogeneity.

Purpose of the Study:

• To develop and validate a classification system for sleeve gastrectomy leaks.
• To predict patient outcomes using computed tomography (CT) findings and clinical variables.
• To aid in patient management and comparative effectiveness research.

Main Methods:

• Prospective database review (2009-2018) of patients with staple line leaks.
• Delphi process to select predictor variables.
• Development of a 4-tiered classification based on CT appearance and duration post-surgery.
• Training and validation cohorts established via block randomization.

Main Results:

• A 4-tiered classification system was developed with high interobserver agreement (κ = 0.85).
• The classification correlated with increased hospital stay, salvage resection risk, and complication severity in both training and validation cohorts.
• Findings were reproducible, demonstrating the system's robustness.

Conclusions:

• A validated CT-based classification system for sleeve gastrectomy leaks has been developed.
• This system reliably predicts increased risk of salvage resection, complications, and hospital stay.
• The classification facilitates improved patient management and outcome comparisons.