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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Coronary Computed Tomography Angiography-Derived Plaque Quantification in Patients With Acute Coronary Syndrome
Christian Tesche1, Damiano Caruso2, Carlo N De Cecco3
1Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, South Carolina; Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany.
Insights
Quantitative coronary computed tomography angiography (cCTA) plaque markers effectively distinguish acute coronary syndrome (ACS) from stable coronary artery disease (CAD). These markers, especially when combined with risk scores, improve diagnostic accuracy for ACS patients.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Interventional Cardiology
Background:
- Acute coronary syndrome (ACS) diagnosis relies on clinical presentation and risk factors.
- Coronary computed tomography angiography (cCTA) offers detailed visualization of atherosclerotic plaque.
- Differentiating ACS from stable coronary artery disease (CAD) is crucial for timely and appropriate treatment.
Purpose of the Study:
- To evaluate the discriminatory value of quantitative atherosclerotic plaque markers from cCTA.
- To compare these markers between patients with first ACS and stable CAD.
- To assess the diagnostic performance of cCTA markers for identifying ACS.
Main Methods:
- Retrospective analysis of 40 patients with first ACS and matched controls with stable CAD.
- Coronary computed tomography angiography (cCTA) followed by invasive coronary angiography.
- Derivation and comparison of quantitative plaque markers (volume, burden, remodeling index, lesion length, napkin-ring sign, scores) on per-lesion and per-patient levels.
Main Results:
- Patients with ACS exhibited significantly higher obstructive CAD, segment stenosis score, segment involvement score, noncalcified plaque volume, lesion length, and remodeling index.
- Culprit lesions in ACS patients showed higher plaque burden, total plaque volume, noncalcified plaque volume, remodeling index, lesion length, and napkin-ring sign prevalence compared to non-culprit lesions.
- Receiver-operating characteristic (ROC) analysis demonstrated high discriminatory power for cCTA markers (AUC 0.92 per-patient, 0.88 per-lesion).
Conclusions:
- Quantitative cCTA-derived plaque markers possess significant discriminatory value for identifying ACS.
- These markers are valuable both on a per-patient and per-lesion basis.
- Combining cCTA plaque markers with the Framingham risk score enhances the ability to identify ACS patients.
Abstract:
This study investigated the discriminatory value of quantitative atherosclerotic plaque markers derived from coronary computed tomography angiography (cCTA) in patients with first acute coronary syndrome (ACS) compared with patients with stable coronary artery disease (CAD). Forty patients (56.9 ± 9.3 years, 55% men) admitted with their first ACS and Framingham risk score-matched controls with stable CAD were retrospectively analyzed. All patients had undergone cCTA followed by invasive coronary angiography. Total plaque volume, calcified and noncalcified plaque volumes, plaque burden (in %), remodeling index, lesion length, presence of napkin-ring sign, segment involvement score, and segment stenosis score were derived from cCTA and compared between both groups on a per-lesion and per-patient level. Patients with ACS showed a significant higher number of obstructive CAD and higher values for segment stenosis score, segment involvement score, noncalcified plaque volume, lesion length, and remodeling index than the stable angina group (all p <0.05). On a per-lesion level, culprit lesions had significantly higher values for plaque burden, total plaque volume, noncalcified plaque volume, remodeling index, lesion length, and prevalence of napkin-ring sign in comparison to nonculprit lesions (all p <0.05). On receiver-operating characteristics (ROC) analysis, a stepwise model demonstrated incremental discriminatory power for identifying ACS both per-patient (area under the curve 0.92, p <0.0001) as well as per-lesion (area under the curve 0.88, p <0.0001). cCTA-derived culprit plaque markers show discriminatory value both on a per-patient and per-lesion level. A combination of markers added to the Framingham risk score yields the greatest discriminatory ability.
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