Imaging abnormalities of the pancreas in diabetes: implications for diagnosis and treatment

Curr Opin Gastroenterol. 2024 Sep 1;40(5):381-388. doi: 10.1097/MOG.0000000000001054. Epub 2024 Jun 28.

Abstract

Purpose of review: Radiographic imaging of the pancreas has drawn recent interest as pancreas volume may serve as a biomarker in identifying the likelihood of diabetes development, subtyping diabetes, and identifying prognostic indicators of poor ultimate outcomes. In this review, the role of pancreas imaging is discussed in various forms of diabetes including type 1 diabetes (T1D), type 2 diabetes (T2D), and diabetes of the exocrine pancreas, particularly diabetes following acute or chronic pancreatitis.

Recent findings: Recent literature of quantitative pancreatic imaging correlating with various forms of diabetes was reviewed. Imaging-derived pancreas volumes are lower in individuals with diabetes, in particular those with T1D. Additionally, morphologic changes, enhancement characteristics, fat content, and MRI signal changes have been observed in different diabetes subtypes. These characteristics, as well as potential confounding variables, are reviewed. Additionally, future areas of research in MRI, CT radiomics, and pancreatitis-related imaging predictors of diabetes are discussed.

Summary: Increased understanding of pancreas imaging features which predict diabetes and gauge prognosis has the potential to identify at-risk individuals and will become increasingly important in diabetes care. This article reviews the current knowledge of common pancreas imaging features as well as future directions of ongoing research in diabetes imaging.

Publication types

  • Review

MeSH terms

  • Diabetes Mellitus, Type 1* / complications
  • Diabetes Mellitus, Type 2* / complications
  • Humans
  • Magnetic Resonance Imaging* / methods
  • Pancreas* / diagnostic imaging
  • Pancreas* / pathology
  • Pancreatitis / diagnostic imaging
  • Pancreatitis / etiology
  • Pancreatitis / therapy
  • Prognosis
  • Tomography, X-Ray Computed