Literature DB >> 32767060

Use of routine computed tomography scans for detecting osteoporosis in thoracolumbar vertebral bodies.

Ping Wang1, Wei She2, Zeqing Mao1, Xing Zhou1, Yu Li1, Jinjin Niu1, Min Jiang1, Gang Huang3.   

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.

Entities:  

Keywords:  BMD; CT attenuation value; Computed tomography; Osteoporosis; QCT

Mesh:

Year:  2020        PMID: 32767060     DOI: 10.1007/s00256-020-03573-y

Source DB:  PubMed          Journal:  Skeletal Radiol        ISSN: 0364-2348            Impact factor:   2.199


  1 in total

1.  Comparison of QCT and DXA: Osteoporosis Detection Rates in Postmenopausal Women.

Authors:  Na Li; Xin-Min Li; Li Xu; Wei-Jie Sun; Xiao-Guang Cheng; Wei Tian
Journal:  Int J Endocrinol       Date:  2013-03-27       Impact factor: 3.257

  1 in total
  2 in total

1.  Opportunistic osteoporosis screening using chest CT with artificial intelligence.

Authors:  Jinrong Yang; Man Liao; Yaoling Wang; Leqing Chen; Linfeng He; Yingying Ji; Yao Xiao; Yichen Lu; Wenliang Fan; Zhuang Nie; Ruiyun Wang; Benling Qi; Fan Yang
Journal:  Osteoporos Int       Date:  2022-08-06       Impact factor: 5.071

2.  Support vector machines are superior to principal components analysis for selecting the optimal bones' CT attenuations for opportunistic screening for osteoporosis using CT scans of the foot or ankle.

Authors:  Ronnie Sebro; Cynthia De la Garza-Ramos
Journal:  Osteoporos Sarcopenia       Date:  2022-09-24
  2 in total

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