
AI may enable more accurate tracking of coronary artery calcium (CAC) growth using routine lung cancer screening CT scans.
Key Details
- 1CAC is commonly found incidentally in up to 12% of lung cancer screening patients.
- 2Increases in CAC scores between screenings are strongly correlated with heightened risk of adverse cardiovascular events.
- 3Debate exists on the clinical significance of CAC growth over time due to insufficient study.
- 4AI is proposed as a tool to overcome technical challenges, such as lack of ECG gating, in longitudinal CAC assessment on low-dose CT scans.
- 5Annual lung cancer CT screenings present opportunities for repeated CAC monitoring.
Why It Matters
This development could allow radiologists to leverage existing lung cancer screening CTs for dual cardiovascular risk monitoring, potentially leading to earlier detection of patients at risk for adverse events. Integrating AI for automated CAC tracking may improve clinical efficiency and patient outcomes.

Source
Health Imaging
Related News

•Health Imaging
Most FDA-Cleared AI Devices Lack Pre-Approval Safety Data, Study Finds
A new study finds fewer than 30% of FDA-cleared AI medical devices reported key safety or adverse event data before approval.

•Health Imaging
BMI Significantly Impacts AI Accuracy in CT Lung Nodule Detection
New research demonstrates that high BMI negatively impacts both human and AI performance in chest low-dose CT interpretation, highlighting dataset diversity concerns.

•Radiology Business
Cigna Expands Nationwide Coverage for CT Imaging AI Tools
Cigna will reimburse for CT-based plaque analysis AI software for millions of members nationwide.