A Nomogram for Predicting Low Bone Mineral Density in the Elderly Using Chest CT - Summary - MDSpire

A Nomogram for Predicting Low Bone Mineral Density in the Elderly Using Chest CT

  • By

  • Zhou, Runhua

  • Zou, Yali

  • Wu, Di

  • May 5, 2026

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Objective:

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.

Original Source(s)

A Nomogram for Predicting Low Bone Mineral Density in the Elderly Using Chest CT

  • by Zhou, Runhua , Zou, Yali , Wu, Di

  • May 5, 2026

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