Key result
Coronary 64-MDCT angiography yielded 86.4% sensitivity and 99.3% specificity for detecting significant stenosis in atrial fibrillation, with image quality correlating with mean heart rate (P<0.001).
Why the study?
Does coronary 64-MDCT angiography accurately detect significant coronary artery stenosis compared to conventional angiography in patients with atrial fibrillation?
Cross-Sectional (n=60)
Blinded
Does coronary 64-MDCT angiography accurately detect significant coronary artery stenosis compared to conventional angiography in patients with atrial fibrillation?
64-MDCT coronary angiography provides high diagnostic accuracy for detecting significant coronary stenosis in patients with atrial fibrillation, though image quality decreases at higher heart rates and variability.
OBJECTIVE: The purpose of this study was to prospectively evaluate the effects of mean heart rate and heart rate variability on image quality at coronary 64-MDCT angiography of patients with atrial fibrillation and to determine the efficacy of coronary 64-MDCT angiography in the detection of significant (> 50%) coronary artery stenosis in patients with atrial fibrillation. SUBJECTS AND METHODS: Sixty patients (37 women, 23 men; mean age, 58.7 years) underwent both coronary 64-MDCT angiography and conventional coronary angiography. Heart rate variability was calculated as the SD from the mean heart rate during scanning. Image quality (good, moderate, or poor) and the presence of significant (> 50%) stenosis at coronary CT angiography were evaluated by two radiologists blinded to the results of conventional coronary angiography. The sensitivity, specificity, positive predictive value, and negative predictive value of coronary CT angiography were calculated with conventional angiography as the reference standard. Pearson's correlation analysis and chi-square tests were performed to compare image quality with mean heart rate and heart rate variability in each patient. Differences in detection of coronary artery stenosis between coronary 64-MDCT angiography and conventional coronary angiography were evaluated with McNemar's test, and agreement between techniques was calculated with kappa statistics. RESULTS: The mean heart rate was 90 +/- 13.1 beats/min with variability of 19.35 +/- 6.95 beats/min. Of 803 segments evaluated, 26 (3%) were considered to have poor image quality. Highly significant correlation was found between mean heart rate and image quality for all segments in each patient (r = 0.51, p < 0.001), for the right coronary artery (r = 0.43, p = 0.001), and for the distal portion of the coronary arteries (r = 0.50, p < 0.001). Heart rate variability also correlated in a highly significant way with image quality in all segments (r = 0.57, p < 0.001), the right coronary artery (r = 0.46, p < 0.001), and the middle (r = 0.44, p = 0.001) and distal (r = 0.41, p = 0.001) portions of the coronary arteries. The best diagnostic image quality was obtained in end systole (200-400 milliseconds). Image quality decreased significantly with a mean heart rate greater than 100 beats/min or with an SD of heart rate greater than 24 beats/min. The overall sensitivity, specificity, positive predictive value, and negative predictive value per segment level were 86.4%, 99.3%, 79.2%, and 99.6%. No significant difference was found between coronary 64-MDCT angiography and conventional coronary angiography in detection of significant stenosis. Excellent agreement between techniques was found. CONCLUSION: Coronary 64-MDCT angiography has diagnostic image quality within a wide range of heart rates and in patients with atrial fibrillation. Reducing average heart rate and heart rate variability in patients with atrial fibrillation is beneficial in improving image quality.
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Yang et al. (2009) conducted a cross-sectional in Atrial fibrillation and suspected coronary artery disease (n=60). Coronary 64-MDCT angiography vs. Conventional coronary angiography was evaluated on Detection of significant (> 50%) coronary artery stenosis. Coronary 64-MDCT angiography yielded 86.4% sensitivity and 99.3% specificity for detecting significant stenosis in atrial fibrillation, with image quality correlating with mean heart rate (P<0.001).
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