How to Improve the Management of Pancreatic Cystic Lesions? Role of Medical History and Complementary Imaging.

Abstract

Introduction: Preoperative characterization of pancreatic cystic lesions (PCLs) remains inaccurate when based on morphology alone. We aimed to determine whether integrating complementary imaging (cross-sectional imaging plus endoscopic ultrasound) and clinical history, particularly history of pancreatitis, improves diagnostic accuracy compared with single-modality imaging.

Methods: This retrospective study included consecutive patients with PCLs treated at a tertiary referral center (test cohort) and a confirmatory cohort from a second hospital. Preoperative diagnostic accuracy was assessed in patients with histological confirmation. Multivariable logistic regression identified independent predictors of correct preoperative diagnosis. Additionally, a secondary multivariable logistic regression analysis included all patients using final diagnosis at follow-up (mean 2.4 ± 0.3 years) was performed.

Results: In the test cohort, 258 patients were analyzed; 59 (23%) had histological confirmation. Overall preoperative accuracy was 63% (validation cohort: 68%). No significant difference was observed between MRI, CT, or endoscopic ultrasound alone. Complementary imaging was independently associated with higher diagnostic accuracy in multivariable analysis, as was main pancreatic duct dilation. In the full cohort, a history of acute or chronic pancreatitis was the only independent predictor of correct diagnosis and strongly predicted pseudocysts (80% vs. 10% without pancreatitis; p < 0.00001). Combining complementary imaging with pancreatitis history further improved overall diagnostic accuracy and significantly increased detection of malignant PCLs compared with MRI alone (p = 0.03).

Conclusion: Diagnostic accuracy of PCLs is limited with single-modality imaging. A stepwise strategy integrating complementary imaging and clinical history, particularly a history of pancreatitis, significantly improves identification of malignant lesions and may refine guideline-based management.