Computed Tomography Prediction of Resectability of Pancreatic Adenocarcinoma Using National Comprehensive Cancer Network Criteria

Abstract

Introduction: We evaluated the diagnostic accuracy of computed tomography (CT) in determining resectability of pancre- atic adenocarcinoma using National Comprehensive Cancer Network (NCCN) Criteria. Methods: Two radiologists retrospectively reviewed abdominal CT images from 36 patients with non-metastatic pancreatic adenocarcinoma who were operated on between 2018 and 20120. Based on CT findings six patients were reported as resectable, seven patients as borderline resectable, and 23 patients as unresectable using NCCN criteria for resectability. Positive predictive values for negative resection margin (R0) were assessed for CT using post-operative histopathological reports as reference standards. Results: In 36 patients who preceded to surgery R0 resection rates were 83% (5 of 6), 71% (5 of 7), and 60% (14 of 23) for resectable, borderline resectable, and unresectable disease, respectively (p<0.001). Discussion and Conclusion: CT can be used to identify patients with pancreatic cancer who can benefit from surgery with the possibility of R0 resection. Our study results showed that using NCCN guidelines the diagnostic accuracy of CT to predict R0 resection can be improved.