Feasibility of Opportunistic Osteoporosis Screening Using an Artificial Intelligence-based Bone Density Measurement on Chest CT Scans
CUI Can
WEN Qingxiang
LIU Ni
LI Min
LI Junqiu
LIU Junlian
HUO Jianwei
Abstract：This study explores the feasibility of opportunistic osteoporosis screening using an artificial intelligence(AI)-based bone mineral density(BMD)measurement system on chest computed tomography(CT)scans.A retrospective analysis was conducted on 462 patients who underwent both dual-energy X-ray absorptiometry(DXA)and chest CT in our department between August 2023 and July 2024.The cohort included 317 postmenopausal women and 145 men aged>50 years.BMD measurements from the AI system and DXA were compared.Using the T-value measured by DXA as the reference standard,the consistency and correlation between AI-based and DXA-measured BMD were analyzed.Significant differences in height,weight,DXA T-value,and AI-derived BMD were observed between men aged>50 years and postmenopausal women.The AI-derived BMD showed a correlation coefficient of 0.767 with DXA T-values and a κ value of 0.697.The area under the ROC curve for AI-based diagnosis of osteoporosis was 0.941(95%CI 0.914-0.968),with a sensitivity of 85.71%and a specificity of 93.84%.The AI-based BMD measurement system demonstrates strong correlation and good agreement with DXA,supporting its feasibility for opportunistic osteoporosis screening.
Keywords：CTartificial intelligencebone densityosteoporosis
Publication Date：2025-11-30
Online Publishing Date：2025-12-19(First online date of this platform, not the publication date of the document)
Pages：6( 1182-1187 )