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
•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.