March 3, 2026Open Access

Refining cardiometabolic risk assessment using MRI-derived pancreas volume and fat content: insights from the NAKO and UK Biobank

Key Points

Cardiometabolic outcomes are predicted by deviations in pancreas volume and fat content, enhancing risk assessment.
Deviations from normalized metrics highlight individuals who may be at greater risk despite standard factors.

Structured PICO

Does MRI-derived pancreas volume and fat content predict cardiometabolic outcomes beyond known risk factors?

Population

Participants from the NAKO and UK Biobank cohorts

Intervention

Automated MRI-derived assessment of pancreas volume and fat fraction (FF)

Comparator

Standard risk assessment (known risk factors and alcohol intake)

Outcome

Cardiometabolic outcomes

Automated MRI-derived assessment of pancreas volume and fat content improves cardiometabolic risk prediction beyond traditional risk factors.

Abstract

Deviations from normalized pancreas volume and FF predicted cardiometabolic outcomes beyond known risk factors and alcohol intake. This automated approach identifies high-risk individuals who may benefit from cardiometabolic/endocrinology referral.

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Discussion

Authors

Matthias Jung

Zeynep Berkarda

Marco Reisert

Actions

Institutions

Harvard University

Massachusetts General Hospital

Heidelberg University

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Refining cardiometabolic risk assessment using MRI-derived pancreas volume and fat content: insights from the NAKO and UK Biobank

Key Points

Structured PICO

Abstract

Citation Network

Connected Papers

Discussion

Authors

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

Cite this study