Fractal Analysis of Dynamic Stress CT-Perfusion Imaging for Detection of Hemodynamically Relevant Coronary Artery Disease
Fractal Analysis of Dynamic Stress CT-Perfusion Imaging for Detection of Hemodynamically Relevant Coronary Artery Disease
复制标题
动态负荷CT灌注成像检测血流动力学相关冠状动脉病变的分形分析
DOI:
10.1016/j.jcmg.2022.03.015
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发表时间:
2022-09-01
影响因子:
14
通讯作者:
Kitagawa, Kakuya
中科院分区:
文献类型:
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作者:
Michallek, Florian;Nakamura, Satoshi;Kitagawa, Kakuya
BACKGROUND Combined computed tomography-derived myocardial blood flow (CTP-MBF) and computed tomography angiography (CTA) has shown good diagnostic performance for detection of coronary artery disease (CAD). However, fractal analysis might provide additional insight into ischemia pathophysiotogy by characterizing multiscale perfusion patterns and, therefore, may be useful in diagnosing hemodynamically significant CAD.OBJECTIVES The purpose of this study was to investigate, in a multicenter setting, whether fractal analysis of perfusion improves detection of hemodynamically relevant CAD over myocardial blood flow quantification (CTP MBF) using dynamic, 4-dimensional, dynamic stress myocardial computed tomography perfusion (CTP) imaging.METHODS In total, 7 centers participating in the prospective AMPLIFIED (Assessment of Myocardial Perfusion Linked to Infarction and Fibrosis Explored with Dual-source CT) study acquired CTP and CTA data in patients with suspected or known CAD. Hemodynamically relevant CAD was defined as >= 90% stenosis on invasive coronary angiography or fractional flow reserve