Related Experiment Video
Updated: May 6, 2026

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
Published on: June 7, 2024
Body Composition in the General Population: Whole-body MRI-derived Reference Curves from Over 66 000 Individuals
Matthias Jung1,2, Marco Reisert3,4, Hanna Rieder1
1Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str 55, 79106 Freiburg im Breisgau, Germany.
Normalized body composition metrics from MRI scans can predict future disease risk. These advanced body composition z-scores identify individuals at higher risk for diabetes, cardiovascular events, and mortality beyond traditional factors.
Area of Science:
- Radiology
- Cardiovascular Medicine
- Metabolic Health
Background:
- Body composition (BC) is linked to cardiometabolic risk, but its predictive value is often confounded by body size and age.
- Traditional risk factors may not fully capture an individual's future disease susceptibility.
- Novel methods are needed to refine BC assessment for improved risk prediction.
Purpose of the Study:
- To develop age-, sex-, and height-normalized body composition (BC) metrics using MRI data from a large population.
- To evaluate the prognostic capability of these normalized BC metrics for cardiometabolic outcomes and mortality, independent of traditional risk factors.
Main Methods:
- A retrospective analysis of whole-body MRI scans from over 66,000 individuals in the UK Biobank and German National Cohort.
- Calculation of age-, sex-, and height-specific BC z-scores for various tissues (adipose, muscle) using a deep learning framework.
- Multivariable Cox regression analysis to assess the association between BC z-score categories and incident diabetes, major adverse cardiovascular events, and all-cause mortality.
Main Results:
- Age-, sex-, and height-specific BC z-scores were successfully calculated for 66,608 individuals.
- High visceral adipose tissue (VAT) z-scores were associated with a 2.26-fold increased risk of incident diabetes.
- High intramuscular adipose tissue (IMAT) z-scores correlated with a 1.54-fold increased risk of major adverse cardiovascular events, and low skeletal muscle (SM) z-scores with a 1.44-fold increased risk of all-cause mortality.
Conclusions:
- Whole-body MRI-derived, normalized BC z-scores effectively identify individuals at risk for adverse cardiometabolic outcomes and mortality.
- These advanced BC metrics offer prognostic value beyond conventional risk factors.
- An open-source z-score calculator is available to facilitate broader clinical application.
More Related Videos
09:21Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
Published on: February 18, 2015
07:33Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
Published on: November 8, 2024
Related Concept Videos
Magnetic Resonance Imaging
Imaging Studies for Cardiovascular System IV: CMRI
Imaging Studies IV: Magnetic Resonance Imaging
Body Water Content and Fluid Compartments