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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Coronary artery calcium score - emerging role for opportunistic screening and novel applications
Ryan Patel1, Michelle C Williams MBChB1
1British Heart Foundation Centre of Research Excellence, University of Edinburgh, Edinburgh, United Kingdom.
Insights
Opportunistic screening for coronary artery calcium (CAC) using thoracic CT improves cardiovascular risk assessment. Artificial intelligence/machine learning (AI/ML) and photon-counting CT enhance CAC detection and integration into clinical practice.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Artificial Intelligence in Medicine
Background:
- Coronary artery calcium (CAC) is detectable on thoracic CT scans.
- Opportunistic screening for CAC can aid in cardiovascular risk assessment and early coronary artery disease detection.
- Current evidence lacks randomized trials on the clinical impact of opportunistic CAC screening.
Purpose of the Study:
- To review the evidence supporting opportunistic CAC screening on thoracic CT.
- To highlight novel applications of CAC assessment, including AI/ML and photon-counting CT.
- To discuss CAC as a multi-system biomarker and its future potential.
Main Methods:
- Review of existing literature on opportunistic CAC screening.
- Discussion of AI/ML models for automated CAC identification and quantification.
- Exploration of photon-counting CT for enhanced CAC detection and risk stratification.
Main Results:
- Opportunistic CAC screening integrates cardiovascular risk assessment into existing thoracic CT workflows.
- AI/ML models offer rapid, reproducible, and automated CAC assessments, potentially reducing radiologist workload.
- Photon-counting CT presents new possibilities for CAC detection and risk stratification via high-resolution and spectral imaging.
Conclusions:
- Opportunistic CAC screening via thoracic CT is a valuable tool for cardiovascular risk stratification.
- AI/ML and advanced CT technologies like photon-counting CT show significant promise for improving CAC detection and clinical integration.
- Further research, including randomized trials, is needed to fully establish the clinical impact of opportunistic CAC screening.
Abstract:
Coronary artery calcium (CAC) can be identified on thoracic CT performed for a variety of clinical indications, including routine thoracic CT, lung cancer screening CT and attenuation correction CT. Identification of CAC on thoracic CT as part of opportunistic screening can improve the assessment of cardiovascular risk and can identify patients who may benefit from preventative medical therapies. This approach enhances early detection of coronary artery disease within existing healthcare workflows. However, at present there are no randomised trials that assess the clinical impact of this approach. Recently, the development of artificial intelligence/machine learning (AI/ML) models has facilitated the automated identification and quantification of CAC, offering rapid and reproducible assessments. AI/ML models could reduce radiologist workload and provide end-to-end integration into routine clinical practice. Novel technologies such as photon-counting CT offer further potential for CAC detection and risk stratification through the use of high-resolution imaging and spectral imaging with virtual non-contrast images. This review discusses the evidence for opportunistic screening for CAC on thoracic CT and highlights novel applications including AI/ML assessments, CAC as a multi-system biomarker, and the potential for photon counting CT.
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