Magnetic Resonance Imaging-Derived Microvascular Perfusion Modeling to Assess Peripheral Artery Disease.
Magnetic Resonance Imaging-Derived Microvascular Perfusion Modeling to Assess Peripheral Artery Disease.
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DOI：
10.1161/jaha.122.027649
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发表时间：
2023-02-07
影响因子：
5.4
通讯作者：
Brunner, Gerd
中科院分区：
文献类型：
--
作者：
Gimnich, Olga A.;Belousova, Tatiana;Short, Christina M.;Taylor, Addison A.;Nambi, Vijay;Morrisett, Joel D.;Ballantyne, Christie M.;Bismuth, Jean;Shah, Dipan J.;Brunner, Gerd
关键词：
在心血管疾病应用中，计算流体动力学与对比增强磁共振成像测量显示出良好的一致性。我们开发了一种微血管灌注的生物力学模型，使用来自骨骼肌的对比增强磁共振成像信号强度来研究外周动脉疾病（PAD）。计算微血管模型被用来研究骨骼小腿肌肉灌注在56个人（36例PAD患者，20匹配的对照）。招募的参与者在休息时和6分钟跑步机步行后接受对比增强磁共振成像和踝肱指数测试。我们已经确定了微血管模型参数的相关性，包括传输速率常数，血管渗漏的测量;间质对流体流动的渗透性，反映了微血管的渗透性;孔隙率，细胞外空间的分数的测量;流出过滤系数;和微血管压力与PAD患者的已知标志物。PAD患者的传输速率常数、间质对液体流动的渗透性和微血管压力高于匹配对照组，而孔隙率和流出滤过系数低于匹配对照组（所有P值≤0.014）。在所有参与者的汇总分析中，模型参数（转移速率常数、间质对液体流动的渗透性、孔隙率、流出滤过系数、微血管压力）与静息和运动踝肱指数、跛行发作时间和峰值步行时间显著相关（所有P值≤0.013）。在PAD患者中，与跑步机完成者相比，跑步机非完成者的间质对液体流动的渗透性和微血管压力较高，而孔隙率和流出滤过系数较低（所有P值≤0.001）。PAD患者和匹配对照组之间的计算微血管模型参数差异显著。因此，计算微血管建模可能是研究下肢缺血的兴趣。
Computational fluid dynamics has shown good agreement with contrast‐enhanced magnetic resonance imaging measurements in cardiovascular disease applications. We have developed a biomechanical model of microvascular perfusion using contrast‐enhanced magnetic resonance imaging signal intensities derived from skeletal calf muscles to study peripheral artery disease (PAD). The computational microvascular model was used to study skeletal calf muscle perfusion in 56 individuals (36 patients with PAD, 20 matched controls). The recruited participants underwent contrast‐enhanced magnetic resonance imaging and ankle‐brachial index testing at rest and after 6‐minute treadmill walking. We have determined associations of microvascular model parameters including the transfer rate constant, a measure of vascular leakiness; the interstitial permeability to fluid flow which reflects the permeability of the microvasculature; porosity, a measure of the fraction of the extracellular space; the outflow filtration coefficient; and the microvascular pressure with known markers of patients with PAD. Transfer rate constant, interstitial permeability to fluid flow, and microvascular pressure were higher, whereas porosity and outflow filtration coefficient were lower in patients with PAD than those in matched controls (all P values ≤0.014). In pooled analyses of all participants, the model parameters (transfer rate constant, interstitial permeability to fluid flow, porosity, outflow filtration coefficient, microvascular pressure) were significantly associated with the resting and exercise ankle‐brachial indexes, claudication onset time, and peak walking time (all P values ≤0.013). Among patients with PAD, interstitial permeability to fluid flow, and microvascular pressure were higher, while porosity and outflow filtration coefficient were lower in treadmill noncompleters compared with treadmill completers (all P values ≤0.001). Computational microvascular model parameters differed significantly between patients with PAD and matched controls. Thus, computational microvascular modeling could be of interest in studying lower extremity ischemia.
DOI：
10.1080/21681163.2016.1184589
发表时间：
2018
期刊：
Computer methods in biomechanics and biomedical engineering. Imaging & visualization
影响因子：
--
作者：
Singh J;Brunner G;Morrisett JD;Ballantyne CM;Lumsden AB;Shah DJ;Decuzzi P
通讯作者：
Decuzzi P
影响因子：
2.6
作者：
Kleiss, Simone F.;Ma, Kirsten F.;El Moumni, Mostafa;Unlu, Cagdas;Nijboer, Thomas S.;Schuurmann, Richte C. L.;Bokkers, Reinoud P. H.;de Vries, Jean-Paul P. M.
通讯作者：
de Vries, Jean-Paul P. M.