Published in:
01-08-2017 | Original Article
Predicting Residual Disease in Incidental Gallbladder Cancer: Risk Stratification for Modified Treatment Strategies
Published in: Journal of Gastrointestinal Surgery | Issue 8/2017
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Introduction
Re-operation is advised for patients with T1b or greater incidental gallbladder cancer (GBCA). The presence of residual disease (RD) impacts resectability, chemotherapy, and survival. This study created a preoperative model to predict RD at re-operation.
Methods
Patients with re-operation for incidental GBCA from 1992–2015 were included. The relationship between pathology data from initial cholecystectomy and RD at re-operation was assessed with logistic regression and classification and regression tree (CART) analysis.
Results
Two hundred fifty-four patients were included and 188 underwent definitive re-resection (74.0%). Distant RD was identified in 69 (27.2%) patients and locoregional only RD in 82 (32.3%). On multivariate analysis, T3 (OR 22.7, 95% CI 5.5–94.4) and poorly differentiated tumors (OR 4.3, 95% CI 1.4–13.3) were associated with RD (p < 0.001–0.012). AUC of multivariate model was 0.78 (95% CI 0.72–0.83). CART analysis split patients into groups based on percentage with RD: 87% RD with T3, 67% RD with T1b/T2 and poorly differentiated, and 35% RD with T1b/T2 and well/moderate differentiated tumors.
Conclusion
Based on T stage and grade from cholecystectomy, this study developed a model for predicting RD at re-operation in incidental GBCA. This model delineates patient groups with variable percentages of RD and could be used to stratify high-risk patients for prospective trials.