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Related Experiment Video

Updated: Jun 2, 2026

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

A nomogram for predicting low bone mineral density in the elderly using chest CT.

Yali Zou¹, Runhua Zhou¹, Di Wu¹

¹Department of Radiology, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.

Frontiers in Endocrinology

|June 1, 2026

Summary

A new nomogram uses chest CT scans to predict low bone mineral density (BMD) in older adults. This opportunistic screening tool helps identify individuals at risk for bone loss and fractures.

Keywords:

bone mineral density chest computed tomography nomogram opportunistic screening osteoporosis

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Last Updated: Jun 2, 2026

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

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Published on: January 29, 2018

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Published on: September 28, 2017

Area of Science:

Radiology
Geriatrics
Bone Metabolism

Background:

Osteoporosis causes fragility fractures, posing a significant health burden on aging populations.
Early detection of bone loss is crucial for timely clinical intervention and management.
Current screening methods may not be universally accessible or cost-effective for all individuals.

Purpose of the Study:

To develop a predictive nomogram for low bone mineral density (BMD) using opportunistic chest CT scans.
To identify key clinical and imaging predictors of diminished BMD.
To evaluate the performance and clinical utility of the developed nomogram.

Main Methods:

Retrospective analysis of 217 patients who underwent both chest CT and DXA within 30 days.
Stratification into Normal and Low BMD groups based on DXA T-scores.
Multivariate logistic regression to identify predictors, with model performance assessed by ROC curves, calibration, and Decision Curve Analysis (DCA).

Main Results:

T11 CT attenuation, age, and BMI were significant independent predictors of low BMD (P < 0.05).
The CT-based nomogram achieved an AUC of 0.864, indicating good discriminatory performance.
Model fit and clinical net benefit were confirmed by Hosmer-Lemeshow test, DCA, and calibration plots.

Conclusions:

An opportunistic CT-based nomogram can effectively identify individuals at risk for bone mass deterioration.
This tool offers a potential cost-effective screening approach for bone loss in middle-aged and older adults.
Leveraging existing chest CT scans can facilitate opportunistic prediction of osteoporosis risk.