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March 3, 20260 citationsOpen Access

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

MJMatthias JungZBZeynep BerkardaMRMarco Reisert

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?

P
Population
Participants from the NAKO and UK Biobank cohorts
I
Intervention
Automated MRI-derived assessment of pancreas volume and fat fraction (FF)
C
Comparator
Standard risk assessment (known risk factors and alcohol intake)
O
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. (2026) studied this question.

synapsesocial.com/papers/69a75a3cc6e9836116a1fd4bhttps://doi.org/10.64898/2026.01.15.26344167
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