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ABSTRACT: Background
Since dual-energy x-ray absorptiometry (DXA) is currently the most commonly used reference standard, most previous studies using computed tomography (CT) attenuation values to predict osteoporosis have chosen abdominal CT images. A few studies have investigated whether the thoracic vertebrae can be independently used for the identification of osteoporosis compared to the lumbar vertebrae.Objective
To investigate whether the attenuation values of thoracic vertebrae measured using artificial intelligence (AI) on chest CT would independently predict osteoporosis identification, considering central DXA as a reference standard.Design
This was a cross-sectional study.Methods
A total of 553 participants (353 men and 200 women) who underwent chest CT and
SUBMITTER: Wu L
PROVIDER: S-EPMC12432313 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature