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Detection of coronary artery disease based on the calcification index obtained by helical computed tomography
C Feldman1, D Vitola, N Schiavo
1Instituto de Cardiologia do Rio Grande do Sul, Fundação Universitária de Cardiologia, Porto Alegre, RS, Brazil.
Insights
Helical computed tomography effectively detects coronary artery calcification. This method shows high sensitivity and specificity for diagnosing coronary artery stenosis, aiding in noninvasive assessment of coronary artery disease.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Medical Diagnostics
Background:
- Coronary artery disease (CAD) is a leading cause of mortality worldwide.
- Accurate noninvasive diagnostic methods for CAD are crucial for timely intervention.
- Helical computed tomography (CT) offers potential for assessing coronary artery calcification.
Purpose of the Study:
- To evaluate the relationship between coronary artery disease and the calcification index derived from helical computed tomography.
- To determine the diagnostic performance of helical CT in identifying coronary artery stenosis.
Main Methods:
- A study involving 22 patients (40-70 years) with suspected angina pectoris.
- Coronary angiography was used to classify coronary artery disease severity.
- Helical CT was performed within 7 days of angiography to obtain a calcification index.
Main Results:
- Helical CT demonstrated 87.5% sensitivity and 100% specificity for significant obstructive coronary lesions.
- The calcification index was significantly higher in patients with severe CAD compared to those with no or nonobstructive disease (p<0.05).
- Positive and negative predictive values for helical CT were 100% and 75%, respectively.
Conclusions:
- Helical computed tomography is an effective tool for detecting and quantifying coronary artery calcification.
- The study confirms helical CT's sensitivity and specificity for the noninvasive diagnosis of coronary artery stenosis.
- Helical CT provides valuable data for assessing coronary artery disease.
Objective:
To assess the relation between coronary artery disease and the calcification index on helical computed tomography.
Method:
We studied 22 patients (ages ranging from 40 to 70 years) who underwent coronary angiography because of chest pain suggestive of angina pectoris. Findings on coronary angiography were classified as follows: significant obstructive disease (stenosis > or = 50 %), nonobstructive disease (stenosis <50 %), and no disease. With no previous knowledge of the results of the coronary angiography and within 7 days, helical computed tomography of the chest was performed. Then, data of the coronary angiography were correlated with the calcification index obtained by helical computed tomography.
Results:
The sensitivity of helical computed tomography to the presence of significant obstructive lesions on coronary angiography was 87.5 %, specificity was 100 %, and negative and positive predictive values were 75 % and 100 %, respectively. The mean calcification index was greater in patients with severe coronary lesions, mainly when involvement of 2 or 3 vessels occurred, than that in patients with no coronary artery disease or with nonobstructive coronary artery lesions (p<0.05).
Conclusion:
Helical computed tomography is an effective method for detecting and quantifying coronary artery calcification, and it has proved to be sensitive to and specific for the noninvasive diagnosis of coronary artery stenosis.