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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Cite This Study

Jung et al. (Fri,) studied this question.

synapsesocial.com/papers/69a75a3cc6e9836116a1fd4b https://doi.org/https://doi.org/10.64898/2026.01.15.26344167

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