Quantitative evaluation of coronary artery visibility on CT angiography in Kawasaki disease: young vs. old children
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ORIGINAL PAPER
Quantitative evaluation of coronary artery visibility on CT angiography in Kawasaki disease: young vs. old children Hyun Woo Goo1 Received: 1 July 2020 / Accepted: 29 September 2020 © Springer Nature B.V. 2020
Abstract Coronary artery visibility on coronary CT angiography has rarely been investigated in young children with Kawasaki disease. This retrospective study was performed to quantitatively evaluate and compare coronary artery visibility with sufficient quality to measure it on coronary CT angiography among younger and older children with Kawasaki disease. Seventy-eight consecutive children with Kawasaki disease who underwent coronary CT angiography were divided into two groups: group 1 (age ≤ 6 years; n = 37) and group 2 (age > 6 years and 3 months by a pediatric radiologist with 21 years of experience in pediatric cardiac CT imaging and the two measurements were averaged for further analysis. The reproducibility of the measurements (the length of the assessable coronary artery and the length of the corresponding groove) was evaluated using mean difference percentage and intraclass correlation coefficient. Coronary artery visibility (%) was then calculated by dividing the length of the assessable coronary artery by the length of the corresponding groove. In addition, coronary dominance was categorized into right coronary or left coronary dominance. When the
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The International Journal of Cardiovascular Imaging
posterior descending aorta was not visualized, coronary dominance was determined to be inconclusive.
Coronary artery abnormalities Coronary CT angiography images were reviewed for all patients, independently of whether coronary artery abnormalities caused by Kawasaki disease, such as aneurysm, intramural calcification, and stenosis/occlusion, were present.
Statistical analysis Continuous variables are expressed as the mean ± standard deviations, and categorical variables are expressed as frequency with percentages. Continuous variables were compared using an unpaired t-test, while categorical variables were compared using the chi-square test. The agreement between the two repeated measurements was calculated using intraclass correlation coefficient. Statistical analyses were performed using the IBM SPSS Statistics for Windows, Version 24.0 (IBM Corp., Armonk, NY, USA). A p value
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