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Updated: Aug 20, 2026
In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Usefulness of electron beam computed tomography for quantitative estimation of myocardial ischemia in patients
Hikosato Endoh1, Shinya Tsukano, Yuichi Ishikawa
1Department of Pediatrics, National Cardiovascular Center, Osaka University Medical School, Osaka, Japan. hikoendoh@yahoo.co.jp
Background:
The electron beam computed tomography (EBT) was used as non-invasive methods for estimating mycardial characteristics in patients after onset of Kawasaki disease.
Methods:
All of the 22 coronary branches with localized stenosis (LS), and 22 branches without coronary artery lesion after Kawasaki disease were examined for changes of myocardial CT number. In this study, each myocardial region was divided into three parts (endocardial, central, epicardial parts) and the myocardium/lumen (M/L) ratio was calculated.
Results:
The mean M/L ratio in the endocardial part of early image with LS was significantly lower than the ratios in the other parts of early images with LS (P = 0.0286, P = 0.0069, respectively). and only the mean M/L ratio in the endocardial part was significantly different on images from patients with LS and images from patients without LS (P = 0.0296). Inverse correlations were found in the LS group between coronary artery stenosis rate determined by coronary angiography and M/L ratio in the endocardial part on early images (P = 0.0018, r = -0.614, y = 0.56 -0.605x).
Conclusions:
It was possible to quantitatively evalutate myocardial characteristics using EBT. It is suggested that myocardial ischemia progressed from the endocardial region and EBT is useful to detect the endocardial ischemia. We suggested that the rate of coronary stenosis in patients with LS can be estimated by calculating the M/L rations in the endocardial parts of early EBT images. EBT enables accurate evaluation of myocardial characteristics non-invasively.
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