Division of Cardiology, Cardiovascular and Thoracic Department, "Città della Salute e della Scienza" Hospital, Turin, Italy; Department of Medical Sciences, University of Turin, Turin, Italy.
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
Comput Methods Programs Biomed. 2024 Sep;254:108303. doi: 10.1016/j.cmpb.2024.108303. Epub 2024 Jun 24.
Atrial fibrillation (AF) is the most common cardiac arrhythmia, inducing accelerated and irregular beating. Beside well-known disabling symptoms - such as palpitations, reduced exercise tolerance, and chest discomfort - there is growing evidence that an alteration of deep cerebral hemodynamics due to AF increases the risk of vascular dementia and cognitive impairment, even in the absence of clinical strokes. The alteration of deep cerebral circulation in AF represents one of the least investigated among the possible mechanisms. Lenticulostriate arteries (LSAs) are small perforating arteries mainly departing from the middle cerebral artery (MCA) and susceptible to small vessel disease, which is one of the mechanisms of subcortical vascular dementia development. The purpose of this study is to investigate the impact of different LSAs morphologies on the cerebral hemodynamics during AF.
By combining a computational fluid dynamics (CFD) analysis of LSAs with 7T high-resolution magnetic resonance imaging (MRI), we performed different CFD-based multivariate regression analyses to detect which geometrical and morphological vessel features mostly affect AF hemodynamics in terms of wall shear stress. We exploited 17 cerebral 7T-MRI derived LSA vascular geometries extracted from 10 subjects and internal carotid artery data from validated 0D cardiovascular-cerebral modeling as inflow conditions.
Our results revealed that few geometrical variables - namely the size of the MCA and the bifurcation angles between MCA and LSA - are able to satisfactorily predict the AF impact. In particular, the present study indicates that LSA morphologies exhibiting markedly obtuse LSA-MCA inlet angles and small MCA size downstream of the LSA-MCA bifurcation may be more prone to vascular damage induced by AF.
The present MRI-based computational study has been able for the first time to: (i) investigate the net impact of LSAs vascular morphologies on cerebral hemodynamics during AF events; (ii) detect which combination of morphological features worsens the hemodynamic response in the presence of AF. Awaiting necessary clinical confirmation, our analysis suggests that the local hemodynamics of LSAs is affected by their geometrical features and some LSA morphologies undergo greater hemodynamic alterations in the presence of AF.
心房颤动(AF)是最常见的心律失常,可导致心脏加速和不规则跳动。除了众所周知的致残症状,如心悸、运动耐量降低和胸部不适外,越来越多的证据表明,AF 导致的深部脑血液动力学改变会增加血管性痴呆和认知障碍的风险,即使没有临床中风也是如此。AF 患者深部脑循环的改变是可能机制中研究最少的机制之一。纹状体动脉(LSAs)是从小脑中动脉(MCA)主要发出的小穿通动脉,易发生小血管疾病,这是皮质下血管性痴呆发展的机制之一。本研究的目的是研究不同 LSAs 形态对 AF 期间脑血液动力学的影响。
通过将 LSAs 的计算流体动力学(CFD)分析与 7T 高分辨率磁共振成像(MRI)相结合,我们进行了不同的基于 CFD 的多元回归分析,以检测哪些几何和形态学的血管特征最能影响 AF 血液动力学的壁面切应力。我们利用从 10 名受试者中提取的 17 个脑 7T-MRI 衍生的 LSA 血管几何形状以及作为流入条件的经过验证的 0D 心血管-脑建模中的颈内动脉数据。
我们的结果表明,只有少数几何变量,即 MCA 的大小和 MCA 与 LSA 之间的分叉角度,能够令人满意地预测 AF 的影响。特别是,本研究表明,LSA 形态具有明显钝角的 LSA-MCA 入口角度和 LSA-MCA 分叉下游较小的 MCA 尺寸,可能更容易受到 AF 引起的血管损伤。
本研究首次基于 MRI 的计算研究能够:(i)研究 LSAs 血管形态对 AF 期间脑血液动力学的净影响;(ii)检测在 AF 存在的情况下哪些形态特征组合会使血液动力学反应恶化。在等待必要的临床确认的同时,我们的分析表明,LSAs 的局部血液动力学受其几何特征的影响,并且在 AF 存在的情况下,一些 LSA 形态会经历更大的血液动力学改变。