Artificial Intelligence–derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis
Key Points
This research aims to evaluate the effectiveness of AI-derived myosteatosis measurements from CT scans in predicting chronic obstructive pulmonary disease (COPD).
Utilized artificial intelligence to derive myosteatosis measurements from coronary artery calcium CT scans.
Evaluated the relationship between these AI-derived measurements and clinically diagnosed COPD.
Compared myosteatosis as a predictive biomarker against traditional emphysema-like lung measures.
AI-derived myosteatosis measurements showed a strong association with diagnosed COPD.
These measurements outperformed emphysema-like lung assessments as a predictive biomarker.
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.
Artificial Intelligence–derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis | Synapse
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