Erschienen in:
07.08.2020 | Scientific Article
Use of routine computed tomography scans for detecting osteoporosis in thoracolumbar vertebral bodies
verfasst von:
Ping Wang, Wei She, Zeqing Mao, Xing Zhou, Yu Li, Jinjin Niu, Min Jiang, Gang Huang
Erschienen in:
Skeletal Radiology
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Ausgabe 2/2021
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Abstract
Objective
This study observed the distribution of CT attenuation values for T10-L3 vertebral bodies and derived the Hounsfield unit (HU) thresholds using the quantitative computed tomography (QCT) as a reference to predict osteoporosis and normal bone density.
Methods
We included 482 subjects who were scheduled to undergo CT lung cancer screening and pulmonary nodule follow-up from May 2015 to February 2019. The subjects were scanned with the calibration phantom beneath the back while performing a chest CT scan. The volumetric bone mineral density (vBMD) and CT attenuation values of T10-L3 vertebral bodies were measured, and the correlation between the two measurements was analyzed. Receiver operator characteristic (ROC) curves were generated to determine diagnostic optimal thresholds.
Results
A total of 2716 vertebral bodies of 457 participants were measured after exclusion screening. CT attenuation value of each plane’s vertebral body showed a strong correlation with vBMD. The optimal threshold of > 141 HU was 93.5% sensitive and 86.1% specific for the recognition of normal BMD. The optimal threshold of < 102.4 HU was 96.9% specific and 82.1% sensitive for distinguishing osteoporosis from osteopenia and normal BMD. The average CT attenuation values of vertebral bodies with compressed and normal morphology were 108.9 ± 20.6 and 136.8 ± 32.2 HU, respectively.
Conclusion
Sagittal reconstruction of the thoracic vertebrae using routine thoracic CT image combined with CT attenuation value measurements of the spine is valuable for predicting bone mineral density in high-risk populations. The mean CT attenuation values of the vertebral bodies with vertebral compression appearance were lower than that of normal vertebral shape.