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Computed tomography derived morphomics in the prediction of long-term outcomes in acute pancreatitis
Sahil Shet, Ludolf Gavin Arthur De Kock, Eid Kakish, Ronan James Lee, David John Ryan, Michael Martin Maher, Department of Radiology, School of Medicine, University College Cork, Cork T12 K8AF, Ireland
Sahil Shet, Ludolf Gavin Arthur De Kock, Eid Kakish, Ronan James Lee, Naomi Ni Chleirigh, David John Ryan, Michael Martin Maher, Department of Radiology, Cork University Hospital, Cork T12 DFK4, Ireland
Orla Cliona O’Shea, Evan O’Broin, School of Medicine, University College Cork, Cork T12 K8AF, Ireland
Author contributions: Shet S, Kakish E, Ryan DJ, and Maher MM designed the study; Shet S and Kakish E performed the morphomic measurements; Shet S and De Kock LGA performed the statistical analysis; Shet S, De Kock LGA, and Lee RJ drafted the manuscript; O’Shea OC, Ni Chleirigh N, and O’Broin E contributed to the data collection; and Ryan DJ and Maher MM contributed to the study design and critically revised the manuscript; All authors read and approved the final manuscript.
Institutional review board statement: This study was reviewed and approved by the Clinical Research Ethics Committee of the Cork Teaching Hospitals (University College Cork), Nos. ECM 6 (n) 09/04/2024 & ECM 3 (j) 11/12/2025.
Informed consent statement: The requirement for informed consent was waived by the ethics committee because of the retrospective nature of the study and the use of existing clinical and imaging data with no direct patient contact.
Conflict-of-interest statement: The authors declare no conflicts of interest.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
Data sharing statement: The datasets generated and analysed during the current study are not publicly available due to institutional data protection and patient confidentiality requirements but are available from the corresponding author on reasonable request.
Corresponding author: Ludolf Gavin Arthur De Kock, Lecturer, Researcher, Department of Radiology, School of Medicine, University College Cork, College Road, Cork T12 K8AF, Ireland. ldekock@ucc.ie
Received: January 7, 2026
Revised: February 3, 2026
Accepted: June 30, 2026
Published online: July 28, 2026
Processing time: 198 Days and 20.4 Hours
Revised: February 3, 2026
Accepted: June 30, 2026
Published online: July 28, 2026
Processing time: 198 Days and 20.4 Hours
Core Tip
Core Tip: Computed tomography-derived analytic morphomics provide objective measures of body composition that can be extracted from routine imaging in acute pancreatitis. In this retrospective cohort with 10-year follow-up, higher skeletal muscle density and greater subcutaneous fat area were independently associated with reduced short- and long-term mortality, whereas other morphomic parameters were not independently associated with recurrence. These findings suggest that integrating computed tomography-based morphomic metrics with established clinical scoring systems may improve prognostic assessment in acute pancreatitis.