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

Radiology Cardiothoracic Imaging 2026 Open access

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Authors: Amir Azimi, Kyle Atlas, Anthony P. Reeves, Chenyu Zhang, Jakob Wasserthal, Seyed Reza Mirjalili, Thomas Atlas, Claudia I. Henschke, David F. Yankelevitz, Javier J. Zulueta, Juan P de-Torres, Luis M. Seijo
+24 more Jeffrey I. Mechanick, Andrea D. Branch, Ning Ma, Rowena Yip, Wenjun Fan, Sion K Roy, Khurram Nasir, Sabee Molloi, Zahi A. Fayad, Michael V. McConnell, Ioannis A. Kakadiaris, George S. Abela, Rozemarijn Vliegenthart, David J. Maron, Jagat Narula, Kim A. Williams, Prediman K. Shah, Matthew J. Budoff, Daniel Levy, Emelia J. Benjamin, Roxana Mehran, Robert A. Kloner, Nathan D. Wong, Morteza Naghavi
DOI: 10.1148/ryct.250205
Cited by: 2
References: 30

Abstract

Artificial intelligence–derived myosteatosis measurements from coronary artery calcium CT scans were strongly associated with the incidence of clinically diagnosed chronic obstructive pulmonary disease, outperforming emphysema-like lung as a predictive biomarker.

Fields of Study & Subjects

Pulmonary Hypertension Research and Treatments Chronic Obstructive Pulmonary Disease (COPD) Research Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis

Publication details

Journal / source
Radiology Cardiothoracic Imaging
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
1
Pages
e250205–e250205
Publication date
29 January 2026
Language
EN