Clinical Report: Morphometric Assessment of Pancreatic Atrophy Using Imaging
Overview
This study introduces the İstanbul Morphometric Pancreatic Atrophy Classification (IM-PAC), a four-tier system for quantifying pancreatic atrophy using CT and MRI. The classification demonstrates significant associations with chronic pancreatitis severity and shows excellent inter-observer reproducibility.
Background
Pancreatic atrophy (PA) is a critical marker of pancreatic damage linked to aging, chronic diseases, and metabolic disorders. Accurate assessment of PA is essential for clinical decision-making, yet current methods often rely on subjective descriptions, leading to variability in diagnosis. The development of a standardized morphometric classification can enhance the reliability of PA evaluations and improve patient management.
Data Highlights
IM-PAC Grade
Number of Cases
Percentage
Grade 0
54
19.3%
Grade 1
119
42.5%
Grade 2
93
33.2%
Grade 3
14
5.0%
Key Findings
The IM-PAC grades were distributed across four levels, with Grade 1 being the most common.
Higher IM-PAC grades correlated significantly with increased severity of ductal abnormalities and MRI-defined fibrosis.
Calcifications in the CT subgroup increased progressively with higher IM-PAC grades.
Inter-observer agreement for thickness measurements was excellent (ICC = 0.89).
Substantial agreement was observed for ordinal grading of ductal abnormalities and fibrosis (weighted κ = 0.81 and 0.78, respectively).
Clinical Implications
The IM-PAC classification provides a standardized approach to assess pancreatic atrophy, facilitating better communication among healthcare professionals. Its strong correlation with chronic pancreatitis features underscores its potential utility in clinical practice for monitoring disease progression and guiding treatment decisions.
Conclusion
The introduction of the IM-PAC classification represents a significant advancement in the objective assessment of pancreatic atrophy, enhancing the reliability of imaging evaluations in clinical settings.
by Fatih Öner Kaya, Esra Ümmühan Mermi, Alev Öztürk Günaldı, Haydar Kaan Karataş, Uğur Can Demir, Pınar Mert, Hüseyin Öztürk, Şule Sena Mazlum, Çağdaş Enginoğlu