Sinclair Matthew, Lee Jack, Schuster Andreas, Chiribiri Amedeo, van den Wijngaard Jeroen, van Horssen Pepijn, Siebes Maria, Spaan Jos A E, Nagel Eike, Smith Nicolas P
Division of Imaging Sciences and Biomedical Engineering, King's College London, British Heart Foundation (BHF) Centre of Excellence, UK; National Institute of Heath Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Lambeth Wing, St. Thomas' Hospital, UK; Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, Lambeth Wing, St. Thomas' Hospital, London, UK.
Division of Imaging Sciences and Biomedical Engineering, King's College London, British Heart Foundation (BHF) Centre of Excellence, UK; National Institute of Heath Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Lambeth Wing, St. Thomas' Hospital, UK; Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, Lambeth Wing, St. Thomas' Hospital, London, UK; Department of Cardiology and Pneumology, Georg-August-University, Göttingen, Germany; German Centre for Cardiovascular Research (DZHK, Partner Site Göttingen), Göttingen, Germany.
Microvasc Res. 2015 Jul;100:59-70. doi: 10.1016/j.mvr.2015.04.005. Epub 2015 May 9.
Particle skimming is a phenomenon where particles suspended in fluid flowing through vessels distribute disproportionately to bulk fluid volume at junctions. Microspheres are considered a gold standard of intra-organ perfusion measurements and are used widely in studies of flow distribution and quantification. It has previously been hypothesised that skimming at arterial junctions is responsible for a systematic over-estimation of myocardial perfusion from microspheres at the subendocardium. Our objective is to integrate coronary arterial structure and microsphere distribution, imaged at high resolution, to test the hypothesis of microsphere skimming in a porcine left coronary arterial (LCA) network. A detailed network was reconstructed from cryomicrotome imaging data and a Poiseuille flow model was used to simulate flow. A statistical approach using Clopper-Pearson confidence intervals was applied to determine the prevalence of skimming at bifurcations in the LCA. Results reveal that microsphere skimming is most prevalent at bifurcations in the larger coronary arteries, namely the epicardial and transmural arteries. Bifurcations at which skimming was identified have significantly more asymmetric branching parameters. This finding suggests that when using thin transmural segments to quantify flow from microspheres, a skimming-related deposition bias may result in underestimation of perfusion in the subepicardium, and overestimation in the subendocardium.
颗粒撇取是一种现象,即悬浮在流经血管的流体中的颗粒在血管交汇处的分布与总体流体体积不成比例。微球被认为是器官内灌注测量的金标准,并广泛用于血流分布和定量研究。此前有假设认为,动脉交汇处的撇取现象是导致从微球测量心内膜下心肌灌注时系统性高估的原因。我们的目标是整合高分辨率成像的冠状动脉结构和微球分布,以验证猪左冠状动脉(LCA)网络中微球撇取的假设。从冷冻切片成像数据重建了详细的网络,并使用泊肃叶流模型模拟血流。采用一种使用克洛珀 - 皮尔逊置信区间的统计方法来确定LCA中分叉处撇取现象的发生率。结果显示,微球撇取现象在较大的冠状动脉(即心外膜动脉和穿壁动脉)的分叉处最为普遍。发现存在撇取现象的分叉处具有明显更多的不对称分支参数。这一发现表明,当使用薄的穿壁节段来量化微球血流时,与撇取相关的沉积偏差可能导致心外膜下灌注低估和心内膜下灌注高估。