Assessing fat fraction and R2* value of lumbar spine based on MRI as a marker of bone mineral density.

OBJECTIVES

The study aimed to investigate the correlation between fat fraction (FF), R2* value of vertebrae based on IDEAL-IQ sequence and bone mineral density (BMD) based on QCT, and their diagnostic value for low BMD and osteoporosis.

METHODS

Subgroups were divided according to different gender, age, BMI, and bone mass to compare the differences in parametric variables. One-way ANOVA, independent samples t-test, correlation coefficient analysis, linear regression analysis, and ROC curve analysis were performed.

RESULTS

Significant differences were found in FF among different bone mass groups, and between different gender and age groups. While R2* only had a significant difference between different gender groups and males with different ages. BMD was significantly negatively correlated with FF, especially in women, and FF significantly negatively affected BMD after controlling for gender, age, and BMI. There was mildly positive correlation between BMD and R2* in men, and R2* significantly positively influenced BMD controlling for the confounders. In addition, FF was positively correlated with age, whereas R2* was negatively correlated with age in men. FF had high diagnostic efficacy for low bone mass and osteoporosis, while R2* alone was weakly diagnostic.

CONCLUSIONS

Vertebral FF can be served as a potentially important imaging biomarker for assessing low BMD and osteoporosis, and R2* of males can be utilized as a complementary parameter for evaluating osteoporosis.

ADVANCES IN KNOWLEDGE

The IDEAL-IQ sequence has the potential to be used as an accessory examination in the diagnosis of osteoporosis, assessment of treatment efficacy, and prediction of fracture risk.