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KMID : 0338420170320050847
The Korean Journal of Internal Medicine
2017 Volume.32 No. 5 p.847 ~ p.854
Geographic and demographic variabilities of quantitative parameters in stress myocardial computed tomography perfusion
Park Jin-Oh

Kim Hyun-Sook
Hwang Hye-Jeon
Yang Dong-Hyun
Koo Hyun-Jung
Kang Joon-Won
Kim Young-Hak
Abstract
Background/Aims: To evaluate the geographic and demographic variabilities of the quantitative parameters of computed tomography perfusion (CTP) of the left ventricular (LV) myocardium in patients with normal coronary artery on computed tomography angiography (CTA).

Methods: From a multicenter CTP registry of stress and static computed tomography, we retrospectively recruited 113 patients (mean age, 60 years; 57 men) without perfusion defect on visual assessment and minimal (< 20% of diameter stenosis) or no coronary artery disease on CTA. Using semiautomatic analysis software, quantitative parameters of the LV myocardium, including the myocardial attenuation in stress and rest phases, transmural perfusion ratio (TPR), and myocardial perfusion reserve index (MPRI), were evaluated in 16 myocardial segments.

Results: In the lateral wall of the LV myocardium, all quantitative parameters except for MPRI were significantly higher compared with those in the other walls. The MPRI showed consistent values in all myocardial walls (anterior to lateral wall: range, 25% to 27%; p = 0.401). At the basal level of the myocardium, all quantitative parameters were significantly lower than those at the mid- and apical levels. Compared with men, women had significantly higher values of myocardial attenuation and TPR. Age, body mass index, and Framingham risk score were significantly associated with the difference in myocardial attenuation.

Conclusions: Geographic and demographic variabilities of quantitative parameters in stress myocardial CTP exist in healthy subjects without significant coronary artery disease. This information may be helpful when assessing myocardial perfusion defects in CTP.
KEYWORD
Myocardial CT perfusion, Quantitative parameter, Geographic variability, Demographical variability
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