AI-derived myosteatosis measurements from CAC CT scans predict future COPD, outperforming emphysema-based biomarkers.
Key Details
- 1Study used baseline CAC CTs from 5,535 participants in the Multi-Ethnic Study of Atherosclerosis with 20-year follow-up.
- 2AI quantified myosteatosis (low thoracic muscle attenuation) and emphysema-like biomarkers from the same scans.
- 3Participants with myosteatosis (lowest quartile) had a 2.74-fold increased risk for COPD after adjusting for covariates.
- 47.1% of the cohort developed COPD over 20 years; myosteatosis better predicted COPD than emphysema (adjusted HR 2.74 vs 1.5).
- 5Predictive value was independent of traditional risk factors such as age, sex, BMI, smoking, and others.
Why It Matters
This research shows opportunistic use of routinely acquired CAC CT scans to derive prognostic information for future chronic diseases, broadening the impact of imaging AI. Early identification of COPD risk in asymptomatic or low-risk populations could enable interventions before clinical disease develops.

Source
AuntMinnie
Related News

•AuntMinnie
AI-CAD Boosts Specificity and Efficiency in Asia-Pacific Mammography Study
AI-CAD systems increased specificity and cut interpretation times in a multicenter Asia-Pacific mammography study.

•AuntMinnie
AI-Driven Mammogram Analysis Boosts Cardiovascular Risk Prediction in Women
AI quantification of breast arterial calcifications (BACs) on mammograms enhances prediction of cardiovascular events beyond traditional risk models.

•Radiology Business
AI Model Identifies Colorectal Cancer on Routine Noncontrast CT Scans
Researchers introduce the COCA AI tool to detect colorectal cancer opportunistically on routine noncontrast CT scans.