What question did this study set out to answer?

The study aims to evaluate the predictive value of MRI fat quantification and vitamin D levels in assessing fracture risk in osteoporosis patients.

February 14, 2026Open Access

Predictive value of MRI fat quantification parameters combined with 25-hydroxyvitamin D in assessing fracture risk in osteoporosis patients

Puntos clave

The study aims to evaluate the predictive value of MRI fat quantification and vitamin D levels in assessing fracture risk in osteoporosis patients.
Measured lumbar fat fraction using MRI IDEAL-IQ.
Evaluated serum levels of 25-hydroxyvitamin D.
Analyzed fracture risk using combined biomarkers.
Higher lumbar fat fraction correlates with increased fracture risk.
Lower 25(OH)D levels also indicate higher fracture risk.
The combined model enhances predictive accuracy for vertebral fractures.

Resumen

Elevated L₂ FF measured by lumbar IDEAL-IQ and reduced 25(OH)D levels are both independently associated with high fracture risk. Their combined model significantly improves the predictive accuracy for osteoporotic vertebral fractures. Early risk stratification assessment using combined biomarkers may provide a novel approach for clinical fracture risk management and preventive intervention, though further validation is required.

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