
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

Source
Health Imaging
Related News

Real-World Study: Radiology AI Best in Emergency and Inpatient Settings
A commercial AI tool for intracranial aneurysm detection outperformed in inpatient and emergency settings but yielded limited benefits for outpatients in a major health system study.

New Rubric Enhances Safety of AI-Generated Radiology Summaries
Researchers developed a five-factor rubric to assess the safety and quality of AI-generated, patient-friendly radiology report summaries.

Healthcare Leader Warns AI Will Dominate Diagnostic Radiology
A leading oncologist urges future radiologists to specialize in interventional procedures due to AI advances in image interpretation.