Key result
Advancing age is linked to increased total plaque while younger patients have more noncalcified plaque.
Why the study?
Manual tools for coronary plaque segmentation are cumbersome and limit routine clinical implementation despite growing interest in prognostic importance of plaque volume.
Cohort
Yes
p-value: p=<0.0001
The development of age- and sex-stratified percentile nomograms for coronary atherosclerotic plaque volumes using AI-enabled CTA analysis provides context to better interpret plaque burden in clinical decision making.
Captured external expert commentary on this paper, strongest first. Original sources are linked where available.
“Nearly one-half of patients 40-54 years of age already had plaque, supporting the early emergence of coronary atherosclerosis in clinically referred SA adults.”
Age- and sex-specific plaque nomograms may refine CTA interpretation in referred adults; leaves open whether they improve risk stratification.
BACKGROUND: With growing adoption of coronary computed tomographic angiography (CTA), there is increasing evidence for and interest in the prognostic importance of atherosclerotic plaque volume. Manual tools for plaque segmentation are cumbersome, and their routine implementation in clinical practice is limited. OBJECTIVES: The aim of this study was to develop nomographic quantitative plaque values from a large consecutive multicenter cohort using coronary CTA. METHODS: Quantitative assessment of total atherosclerotic plaque and plaque subtype volumes was performed in patients undergoing clinically indicated coronary CTA, using an Artificial Intelligence-Enabled Quantitative Coronary Plaque Analysis tool. RESULTS: ) (P < 0.0001). Total plaque increased with age in both male and female patients. Younger patients exhibited a higher prevalence of noncalcified plaque. The distribution of total plaque volume and its components was reported in every decile by age group and sex. CONCLUSIONS: The authors developed pragmatic age- and sex-stratified percentile nomograms for atherosclerotic plaque measures using findings from coronary CTA. The impact of age and sex on total plaque and its components should be considered in the risk-benefit analysis when treating patients. Artificial Intelligence-Enabled Quantitative Coronary Plaque Analysis work flows could provide context to better interpret coronary computed tomographic angiographic measures and could be integrated into clinical decision making.
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Τζίμας et al. (2023) conducted a cohort in Patients undergoing clinically indicated coronary CTA. Age and sex was evaluated on Total atherosclerotic plaque and plaque subtype volumes (p=<0.0001). Total atherosclerotic plaque increased with age in both male and female patients, while younger patients exhibited a higher prevalence of noncalcified plaque (P<0.0001).
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