Artificial Intelligence–derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis

Purpose To evaluate the predictive value of myosteatosis as an opportunistic finding in coronary artery calcium (CAC) CT scans for clinically diagnosed chronic obstructive pulmonary disease (COPD) and compare it with an artificial intelligence (AI)-measured biomarker of emphysema derived from the same scans. Materials and Methods In this prospective study, baseline CAC CT scans and 20-year follow-up data were analyzed. Myosteatosis was defined as the lowest quartile of thoracic skeletal muscle mean attenuation (males < 33.5 HU, females < 27.0 HU). The emphysema-like lung biomarker was quantified as the percentage of lung voxels below -950 HU in CAC CT scans. COPD was identified using the <i>International Classification of Diseases, Ninth Revision, Clinical Modification</i>, and <i>International Classification of Diseases, 10th Revision, Clinical Modification</i> diagnostic codes from hospital discharge records. Hazard ratios (HRs) for COPD were calculated using proportional hazard regression models, comparing the bottom versus top quartiles of myosteatosis and emphysema-like lung measurements. Results Among 5535 participants in the Multi-Ethnic Study of Atherosclerosis (mean age ± SD, 62.2 years ± 10.3, 47.6% males), 396 (7.1%) were diagnosed with COPD over the 20-year follow-up period. Myosteatosis showed a stronger association with COPD than emphysema (unadjusted HRs, 5.98 [95% CI: 4.14, 8.63] and 2.12 [95% CI: 1.61, 2.78], respectively [<i>P</i> < .001]). After adjusting for covariates (age, sex, smoking status, body mass index, race, asthma, physical activity, inflammatory markers, and insulin resistance), the HRs were reduced to 2.74 (95% CI: 1.81, 4.16) and 1.50 (95% CI: 1.12, 2.00), respectively (<i>P</i> = .02). Conclusion AI-measured myosteatosis in CAC CT scans strongly predicted future diagnosed COPD independently of known risk factors. <b>Keywords:</b> Applications-CT, Pulmonary, Thorax, Adipose Tissue (Obesity Studies), Chronic Obstructive Pulmonary Disease, Metabolic Disorders, Myosteatosis, Coronary Artery Calcium Scan, Emphysema, AI-CVD ClinicalTrials.gov: NCT00005487 <i>Supplemental material is available for this article.</i> © The Author(s) 2026. Published by the Radiological Society of North America under a CC BY 4.0 license.

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Journal
Radiology Cardiothoracic Imaging
Published
2026-01-29
DOI
https://doi.org/10.1148/ryct.250205
Primary Topic
Pulmonary Hypertension Research and Treatments
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article
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article

Artificial Intelligence–derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis

Jagat Narula, Andrea D. Branch, Robert A. Kloner, Wenjun Fan et al.
Radiology Cardiothoracic Imaging
Pulmonary Hypertension Research and Treatments
article

Artificial Intelligence–derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis

Jagat Narula, Andrea D. Branch, Robert A. Kloner, Wenjun Fan, Anthony P. Reeves, Michael V. McConnell, Sion K Roy, Jakob Wasserthal, Sabee Molloi, Thomas Atlas, Juan P de-Torres, Morteza Naghavi, Ning Ma, George S. Abela, Javier J. Zulueta, Luis M. Seijo, Claudia I. Henschke, Seyed Reza Mirjalili, Daniel Levy, Emelia J. Benjamin, Kyle Atlas, Nathan D. Wong, Rozemarijn Vliegenthart, Rowena Yip, Ioannis A. Kakadiaris, David J. Maron, Roxana Mehran, Zahi A. Fayad, Amir Azimi, Chenyu Zhang, Matthew J. Budoff, Khurram Nasir, Kim A. Williams, Prediman K. Shah, David F. Yankelevitz
article en

Abstract

Purpose To evaluate the predictive value of myosteatosis as an opportunistic finding in coronary artery calcium (CAC) CT scans for clinically diagnosed chronic obstructive pulmonary disease (COPD) and compare it with an artificial intelligence (AI)-measured biomarker of emphysema derived from the same scans. Materials and Methods In this prospective study, baseline CAC CT scans and 20-year follow-up data were analyzed. Myosteatosis was defined as the lowest quartile of thoracic skeletal muscle mean attenuation (males < 33.5 HU, females < 27.0 HU). The emphysema-like lung biomarker was quantified as the percentage of lung voxels below -950 HU in CAC CT scans. COPD was identified using the <i>International Classification of Diseases, Ninth Revision, Clinical Modification</i>, and <i>International Classification of Diseases, 10th Revision, Clinical Modification</i> diagnostic codes from hospital discharge records. Hazard ratios (HRs) for COPD were calculated using proportional hazard regression models, comparing the bottom versus top quartiles of myosteatosis and emphysema-like lung measurements. Results Among 5535 participants in the Multi-Ethnic Study of Atherosclerosis (mean age ± SD, 62.2 years ± 10.3, 47.6% males), 396 (7.1%) were diagnosed with COPD over the 20-year follow-up period. Myosteatosis showed a stronger association with COPD than emphysema (unadjusted HRs, 5.98 [95% CI: 4.14, 8.63] and 2.12 [95% CI: 1.61, 2.78], respectively [<i>P</i> < .001]). After adjusting for covariates (age, sex, smoking status, body mass index, race, asthma, physical activity, inflammatory markers, and insulin resistance), the HRs were reduced to 2.74 (95% CI: 1.81, 4.16) and 1.50 (95% CI: 1.12, 2.00), respectively (<i>P</i> = .02). Conclusion AI-measured myosteatosis in CAC CT scans strongly predicted future diagnosed COPD independently of known risk factors. <b>Keywords:</b> Applications-CT, Pulmonary, Thorax, Adipose Tissue (Obesity Studies), Chronic Obstructive Pulmonary Disease, Metabolic Disorders, Myosteatosis, Coronary Artery Calcium Scan, Emphysema, AI-CVD ClinicalTrials.gov: NCT00005487 <i>Supplemental material is available for this article.</i> © The Author(s) 2026. Published by the Radiological Society of North America under a CC BY 4.0 license.

Radiology Cardiothoracic ImagingVol. 8(1)
Boston University (US), Cedars-Sinai Medical Center (US), Huntington Medical Research Institutes (US), University Medical Center Groningen (NL), University of Louisville (US), University of Basel (CH), University of California, Irvine (US), Cornell University (US), University Hospital of Basel (CH), Orange County Research Center (US), Methodist Hospital (US), Lung Institute (US), Mount Sinai Hospital (US), Stanford Health Care (US), Los Angeles Biomedical Research Institute (US), Clinica Universidad de Navarra (ES), Stanford Medicine (US), Universitäre Psychiatrische Kliniken Basel (CH), University of Houston (US), Michigan State University (US), Stanford University (US), Icahn School of Medicine at Mount Sinai (US)
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Pulmonary Hypertension Research and Treatments
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