To develop a predictive nomogram for low bone mineral density (BMD) using opportunistic chest CT scans and clinical data.
Key Findings:
T11 CT attenuation, age, and BMI were significant independent predictors of low BMD (all P < 0.05).
The predictive model achieved an area under the curve (AUC) of 0.864 (95% CI: 0.813–0.914).
The model fit was confirmed with a Hosmer-Lemeshow test p-value of 0.197.
Interpretation:
The opportunistic CT-based nomogram effectively identifies individuals at risk for bone mass deterioration, offering a cost-effective screening tool for older adults.
Limitations:
Retrospective design may introduce selection bias.
The study population may not represent all demographics of older adults.
Conclusion:
Implementing this nomogram can facilitate early preventive care and reduce the long-term impact of osteoporotic fractures in public health.
