A multi-scale/multi-physics model for the theoretical study of the vascular configuration of retinal capillary plexuses based on OCTA data.

IF 0.8 4区 数学 Q4 BIOLOGY Mathematical Medicine and Biology-A Journal of the Ima Pub Date : 2022-02-22 DOI:10.1093/imammb/dqab018
Greta Chiaravalli, Giovanna Guidoboni, Riccardo Sacco, Jake Radell, Alon Harris
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引用次数: 2

Abstract

The retinal tissue is highly metabolically active and is responsible for translating the visual stimuli into electrical signals to be delivered to the brain. A complex vascular structure ensures an adequate supply of blood and oxygen, which is essential for the function and survival of the retinal tissue. To date, a complete understanding of the configuration of the retinal vascular structures is still lacking. Optical coherence tomography angiography has made available a huge amount of imaging data regarding the main retinal capillary plexuses, namely the superficial capillary plexuses (SCP), intermediate capillary plexuses (ICP) and deep capillary plexuses (DCP). However, the interpretation of these data is still controversial. In particular, the question of whether the three capillary plexuses are connected in series or in parallel remains a matter of debate. In this work, we address this question by utilizing a multi-scale/multi-physics mathematical model to quantify the impact of the two hypothesized vascular configurations on retinal hemodynamics and oxygenation. The response to central retinal vein occlusion (CRVO) and intraocular pressure (IOP) elevation is also simulated depending on whether the capillary plexuses are connected in series or in parallel. The simulation results show the following: (i) in the in series configuration, the plexuses exhibit a differential response, with DCP and ICP experiencing larger pressure drops than SCP; and (ii) in the in parallel configuration, the blood flow redistributes uniformly in the three plexuses. The different vascular configurations show different responses also in terms of oxygen profiles: (i) in the in series configuration, the outer nuclear layer, outer plexiform layer and inner nuclear layer (INL) are those most affected by CRVO and IOP elevation; and (ii) in the in parallel configuration the INL and ganglion cell layer are those most affected. The in series results are consistent with studies on paracentral acute middle maculopathy, secondary to CRVO and with studies on IOP elevation, in which DCP and ICP and the retinal tissues surrounding them are those most affected by ischemia. These findings seem to suggest that the in series configuration better describes the physiology of the vascular retinal capillary network in health and disease.

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基于OCTA数据的视网膜毛细血管丛血管形态理论研究的多尺度/多物理模型。
视网膜组织具有高度的代谢活性,负责将视觉刺激转化为电信号并传递给大脑。复杂的血管结构保证了足够的血液和氧气供应,这对视网膜组织的功能和存活至关重要。迄今为止,对视网膜血管结构的结构仍缺乏完整的了解。光学相干断层扫描血管造影提供了大量关于视网膜主要毛细血管丛的成像数据,即浅表毛细血管丛(SCP)、中间毛细血管丛(ICP)和深毛细血管丛(DCP)。然而,对这些数据的解释仍然存在争议。特别是,三个毛细血管丛是串联还是平行连接的问题仍然是一个有争议的问题。在这项工作中,我们通过利用多尺度/多物理数学模型来量化两种假设血管构型对视网膜血流动力学和氧合的影响,从而解决了这个问题。对视网膜中央静脉阻塞(CRVO)和眼压(IOP)升高的反应也根据毛细血管丛是串联还是并联进行模拟。仿真结果表明:(1)在串联结构下,神经丛表现出差分响应,DCP和ICP比SCP有更大的压降;(ii)在平行构型下,血流在三神经丛中重新均匀分布。不同的血管构型在氧谱上也表现出不同的响应:(1)在串联构型中,外核层、外丛状层和内核层(INL)受CRVO和IOP升高的影响最大;(ii)在平行结构中,INL和神经节细胞层是受影响最大的。这一系列结果与CRVO继发的中央旁急性中黄斑病变的研究和IOP升高的研究一致,DCP和ICP及其周围视网膜组织是受缺血影响最大的。这些发现似乎表明,串联结构更好地描述了血管视网膜毛细血管网络的生理健康和疾病。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Formerly the IMA Journal of Mathematics Applied in Medicine and Biology. Mathematical Medicine and Biology publishes original articles with a significant mathematical content addressing topics in medicine and biology. Papers exploiting modern developments in applied mathematics are particularly welcome. The biomedical relevance of mathematical models should be demonstrated clearly and validation by comparison against experiment is strongly encouraged. The journal welcomes contributions relevant to any area of the life sciences including: -biomechanics- biophysics- cell biology- developmental biology- ecology and the environment- epidemiology- immunology- infectious diseases- neuroscience- pharmacology- physiology- population biology
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