MRI and deep learning can identify hidden muscle fat linked to heart and metabolic risks, offering a new imaging-based biomarker for preventive care.
Key Details
- 1Study used deep learning with MRI to analyze intermuscular fat and lean muscle mass in 11,348 adults.
- 2Increased intermuscular fat was strongly linked to high blood pressure (OR 1.67), unhealthy lipids (OR 1.82), and abnormal blood sugar.
- 3Higher lean muscle mass showed protective effects, especially in men (e.g., lower odds ratio for hypertension: OR 0.34).
- 4MRI-based biomarkers uncovered undiagnosed cardiometabolic risks in ostensibly healthy individuals.
- 5Editorials emphasize MRI's role in preventive, precision medicine and improved risk stratification via AI-driven body composition profiling.
Why It Matters
This research supports integrating quantitative body composition analysis into routine MRI, potentially identifying patients at risk for cardiometabolic diseases before traditional risk factors emerge. Advanced imaging biomarkers enabled by AI can personalize and enhance preventive strategies in radiology.
Source
AuntMinnie
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