A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta.
A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta.
复制标题
静态心肌计算机断层扫描:心肌灌注比与主动脉的新型定量参数。
DOI:
10.3390/jcm11071816
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发表时间:
2022-03-25
影响因子:
3.9
通讯作者:
Kido T
中科院分区:
文献类型:
--
作者:
Kouchi T;Tanabe Y;Takemoto T;Yoshida K;Yamamoto Y;Miyazaki S;Fukuyama N;Nishiyama H;Inaba S;Kawaguchi N;Kido T;Yamaguchi O;Kido T
We evaluated the feasibility of myocardial perfusion ratio to the aorta (MPR) in static computed tomography perfusion (CTP) for detecting myocardial perfusion abnormalities assessed by single-photon emission computed tomography (SPECT). Twenty-five patients with suspected coronary artery disease who underwent dynamic CTP and SPECT were retrospectively evaluated. CTP images scanned at a sub-optimal phase for detecting myocardial perfusion abnormalities were selected from dynamic CTP images and used as static CTP images in the present study. The diagnostic accuracy of MPR derived from static CTP was compared to those of visual assessment and conventional quantitative parameters such as myocardial CT attenuation (HU) and transmural perfusion ratio (TPR). The area under the curve of MPR (0.84; 95% confidence interval [CI], 0.76–0.90) was significantly higher than those of myocardial CT attenuation (0.73; 95% CI, 0.65–0.79) and TPR (0.76; 95% CI, 0.67–0.83) (p < 0.05). Sensitivity and specificity were 67% (95% CI, 54–77%) and 90% (95% CI, 86–92%) for visual assessment, 51% (95% CI, 39–63%) and 86% (95% CI, 82–89%) for myocardial CT attenuation, 63% (95% CI, 51–74%) and 84% (95% CI, 80–88%) for TPR, and 78% (95% CI, 66–86%) and 84% (95% CI, 80–88%) for MPR, respectively. MPR showed higher diagnostic accuracy for detecting myocardial perfusion abnormality compared with myocardial CT attenuation and TPR.
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影响因子:
3.7
作者:
Kurata A;Kawaguchi N;Kido T;Inoue K;Suzuki J;Ogimoto A;Funada J;Higaki J;Miyagawa M;Vembar M;Mochizuki T
通讯作者:
Mochizuki T
影响因子:
7.5
作者:
Takx, Richard A. P.;Blomberg, Bjorn A.;Leiner, Tim
通讯作者:
Leiner, Tim
影响因子:
37.8
作者:
Cerqueira, MD;Weissman, NJ;Verani, MS
通讯作者:
Verani, MS
影响因子:
2.6
作者:
Shrimpton, P. C.;Hillier, M. C.;Dunn, M.
通讯作者:
Dunn, M.
影响因子:
24
作者:
Jaarsma, Caroline;Leiner, Tim;Schalla, Simon
通讯作者:
Schalla, Simon