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 Analyzes Mammograms to Assess Post-Surgery Breast Cancer Recurrence Risk
A new AI tool predicts likelihood of breast cancer recurrence after surgery using pre-operative mammograms.

•Radiology Business
AI Model Aims to Detect Placenta Accreta Earlier in Pregnancy
Researchers present a new AI model to help diagnose placenta accreta spectrum before delivery.

•Radiology Business
FDA Clears Median's Eyonis AI for CT Lung Cancer Screening
Median Technologies' Eyonis LCS, an AI tool for low-dose CT lung cancer screening, receives FDA clearance.