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
•Radiology Business
AI Rarely Mentioned in Radiology Job Listings Despite Widespread Adoption
A new report finds that AI is rarely specified in radiology job postings, despite its broad use in imaging.
•AuntMinnie
Highlights from Recent AI Research in Digital X-Ray Imaging
AuntMinnie Digital X-Ray Insider covers the latest AI advancements and challenges in x-ray imaging.
•AuntMinnie
AI Model Accurately Estimates Bone Density on Pediatric Chest X-rays
A deep-learning AI model accurately estimates bone mineral density using pediatric chest x-rays, showing potential for opportunistic bone health screening.