AI-based opportunistic quantitative image analysis of lung cancer screening CTs to reduce disparities in osteoporosis screening

Huber, Florian Alexander; Bunnell, Katherine M; Garrett, John W; Flores, Efren J; Summers, Ronald M; Pickhardt, Perry J; Bredella, Miriam A

doi:10.1016/j.bone.2024.117176

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Huber, F. A., Bunnell, K. M., Garrett, J. W., Flores, E. J., Summers, R. M., Pickhardt, P. J., & Bredella, M. A. (2024). AI-based opportunistic quantitative image analysis of lung cancer screening CTs to reduce disparities in osteoporosis screening. Bone, 186, 117176. https://doi.org/10.1016/j.bone.2024.117176

Abstract

Osteoporosis is underdiagnosed, especially in ethnic and racial minorities who are thought to be protected against bone loss, but often have worse outcomes after an osteoporotic fracture. We aimed to determine the prevalence of osteoporosis by opportunistic CT in patients who underwent lung cancer screening (LCS) using non-contrast CT in the Northeastern United States. Demographics including race and ethnicity were retrieved. We assessed trabecular bone and body composition using a fully-automated artificial intelligence algorithm. RO