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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Adding coronary computed tomography angiography to invasive coronary angiography improves prediction of cardiac
Hideki Kawai1, Sadako Motoyama, Masayoshi Sarai
1Department of Cardiology, Fujita Health University.
Insights
Computed tomography angiography (CTA) plaque characteristics, specifically high-risk plaque (HRP), significantly improve cardiac event prediction in patients undergoing invasive coronary angiography (ICA). This enhances risk stratification for better patient outcomes.
Area of Science:
- Cardiovascular Imaging
- Interventional Cardiology
Background:
- The prognostic value of computed tomography angiography (CTA) plaque characteristics in patients undergoing invasive coronary angiography (ICA) remains underexplored.
- Current risk stratification relies heavily on luminal diameter narrowing, potentially missing crucial plaque information.
Purpose of the Study:
- To establish the additive value of CTA-derived plaque characteristics beyond traditional stenosis assessment in predicting cardiac events.
- To determine if high-risk plaque (HRP) on CTA improves risk stratification in patients undergoing ICA.
Main Methods:
- A cohort of 676 patients undergoing both ICA and CTA within three months was analyzed.
- Coronary artery segments were assessed for luminal diameter narrowing (ICA) and the presence of HRP (CTA).
- Cardiac events (cardiac death, ACS, revascularization) were tracked for at least three months post-ICA.
Main Results:
- Segments with >25% luminal narrowing showed a higher incidence of coronary events compared to those without (2.94% vs. 0.31%).
- Segments with HRP demonstrated a significantly higher event rate than those without (12.6% vs. 0.46%).
- Both >25% residual luminal narrowing and HRP were independent predictors of cardiac events, with HRP significantly improving predictive models.
Conclusions:
- CTA-derived coronary plaque assessment, particularly HRP detection, enhances the prediction of cardiac events in patients undergoing ICA.
- Integrating CTA plaque characteristics into risk models offers a more comprehensive approach to cardiovascular risk stratification.
Background:
The additive value of plaque characteristics determined by computed tomography angiography (CTA) in patients undergoing invasive coronary angiography (ICA) has not been established. METHODS AND RESULTS: We studied 676 patients undergoing ICA and CTA within 3 months. The luminal diameter narrowing based on ICA and the presence of high risk plaque (HRP) based on CTA were assessed in all coronary artery segments except for those after or before scheduled treatment. We followed their cardiac events including cardiac death, acute coronary syndrome (ACS), and revascularization for de novo lesions ≥3 months after ICA. The incidence of coronary events was higher in the segments including >25% luminal narrowing than in those without (2.94% vs. 0.31%, P<0.0001), and higher in the segments containing HRP than in those without (12.6 vs. 0.46%, P<0.0001). Greater than 25% residual luminal narrowing and the presence of HRP were identified as independent predictors of cardiac events after risk adjustment for age, gender, and history of ACS (hazard ratio [HR], 3.22; 95% confidence interval [CI]: 1.29-10.76; P=0.0092, HR, 2.64; 95% CI: 1.59-4.35; P=0.0002, respectively). Adding the presence of HRP to a model including age, gender, ACS history, and >25% residual stenosis improved the prediction of cardiac events.
Conclusions:
Assessment of coronary plaque characteristics on CTA improves the prediction of cardiac events in patients undergoing ICA.
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