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Noninvasive detection of coronary atherosclerotic plaque by multidetector row computed tomography
1Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA. uhoffmann@partners.org
Insights
Multidetector computed tomography (MDCT) effectively detects and characterizes coronary artery plaque, improving risk prediction beyond traditional factors. This advanced imaging offers new insights into coronary atherosclerosis, especially noncalcified plaques.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Coronary artery disease (CAD) remains a leading global cause of mortality.
- Traditional risk scores (e.g., Framingham) have limited sensitivity, classifying many individuals as intermediate risk.
- Novel imaging techniques are needed for more accurate cardiovascular risk stratification.
Purpose of the Study:
- To evaluate the utility of advanced multidetector computed tomography (MDCT) for detecting and characterizing coronary atherosclerotic plaque.
- To assess the role of MDCT in improving risk prediction for future coronary events.
- To explore the potential of MDCT in studying the natural history of coronary plaque.
Main Methods:
- Utilized submillimeter slice collimation and high temporal resolution MDCT for contrast-enhanced coronary imaging.
- Acquired 16/64 parallel cross-sections in 10-20s with 60-80 ml contrast agent.
- Employed CT for coronary calcification assessment using the Agatston Score (AS) and evaluated noncalcified plaque characteristics.
Main Results:
- Coronary calcification presence and amount significantly increase future event risk (RR 8.7).
- High Agatston Scores (>400) aid risk stratification in intermediate-risk patients.
- Contrast-enhanced MDCT detects calcified and noncalcified plaques with high sensitivity and specificity, comparable to intravascular ultrasound (IVUS).
- MDCT quantifies plaque characteristics (area, volume, remodeling) and stratifies noncalcified plaque composition.
Conclusions:
- High-resolution MDCT reliably detects, quantifies, and characterizes coronary atherosclerotic plaque (calcified and noncalcified).
- MDCT provides a unique opportunity to study the natural history and therapeutic response of noncalcified plaques.
- Noncalcified plaques may be present even in children with risk factors, detectable by MDCT.
Background:
Coronary artery disease continues to be one of the leading causes of death and disability around the globe, challenging the efficacy of currently applied schemes to predict the risk for future coronary events. In fact, algorithms such as the Framingham risk score that are based on traditional risk factors like hypertension and dyslipidemia are not very sensitive, leaving a majority of the population at intermediate risk.
Methods:
Advances in multidetector computed tomography (MDCT) technology with submillimeter slice collimation (approximately 0.6 mm) and high temporal resolution now permit contrast-enhanced imaging of the coronary artery lumen and wall in a single breath hold. The current generation of MDCT provided in-plane resolution of 0.5 mm and a temporal resolution of 210 ms. The simultaneous acquisition of 16/64 parallel cross-sections reduces image acquisition time to about 10-20s using 60-80 ml of contrast agents to opacify the coronary artery lumen. CT imaging for coronary calcification is an established method with low radiation exposure. The amount of calcification is expressed as an Agatston Score (AS).
Results:
The presence and amount of coronary calcification significantly increases the relative risk for future coronary events, independent from traditional risk factors (risk ratio 8.7 [95% Cl, 2.7-28.1]). Especially, individuals with a high AS (>400) who are at intermediate 10-y Framingham event risk may benefit from this additional risk stratification. However, calcification is rarely present in children and adolescents. However, there is a growing body of evidence suggesting that contrast-enhanced MDCT can detect both calcified and noncalcified plaques with high sensitivity and specificity for the detection of plaques > 0.5 mm when compared to intravascular ultrasound. Moreover, initial data suggest that plaque characteristics such as plaque area, volume, quantify and coronary plaque remodeling index can be quantified in good agreement with IVUS. The composition of noncalcified plaque may be further stratified into predominantly fibrous or lipid-rich plaque. Noncalcified plaque may be present already in children and adolescents with multiple risk factors.
Conclusion:
The available data indicate that high resolution MDCT can reliably detect, quantify and characterize calcified and noncalcified coronary atherosclerotic plaque. With MDCT, we now have a unique opportunity to study the natural history and response to therapy of noncalcified coronary plaques, which may be already present in obese children or children with multiple risk factors.
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