A location-based anatomic classification system for acute pancreatic fluid collections: Roadmap for optimal intervention in the step-up era

• Published in: Surgery open science Vol. 18; pp. 1 - 5
• Main Authors: Clark, Clancy J., Ray, Jonathan W., Pawa, Swati, Jahann, Darius, McCullough, MaryAlyce, Miller, Preston, Mowery, Nathan, Miller, Michael, Xiao, Ted, Koutlas, Nicholas, Pawa, Rishi
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.03.2024; Elsevier
• Subjects: Acute pancreatic fluid collections; Acute pancreatitis; Brief Communication; Necrotizing pancreatitis; Pseudocyst; Walled-off necrosis; Acute pancreatitis; Pseudocyst; Walled-off necrosis; Necrotizing pancreatitis; Acute pancreatic fluid collections
• ISSN: 2589-8450; 2589-8450
• DOI: 10.1016/j.sopen.2024.01.008

Walled-off pancreatic necrosis (WOPN) is a local complication of acute necrotizing pancreatitis frequently requiring intervention. Treatment is typically through the coordinated efforts of a multidisciplinary team. Current management guidelines recommend a step-up approach beginning with minimally invasive techniques (percutaneous or transmural endoscopic drainage) followed by escalation to more invasive procedures if needed. Although the step-up approach is an evidence-based treatment paradigm for management of pancreatic fluid collections, it lacks guidance regarding optimal invasive technique selection based on the anatomic characteristics of pancreatic fluid collections. Similarly, existing cross-sectional imaging-based classification systems of pancreatic fluid collections have been used to predict disease severity and prognosis; however, none of these systems are designed to guide intervention. We propose a novel classification system which incorporates anatomic characteristics of pancreatic fluid collections (location and presence of disconnected pancreatic duct) to guide intervention selection and clinical decision making. We believe adoption of this simple classification system will help streamline treatment algorithms and facilitate cross-study comparisons for pancreatic fluid collections.