按比例构建双层和容积心房模型。

IF 3.6 3区 生物学 Q1 BIOLOGY Interface Focus Pub Date : 2023-12-15 eCollection Date: 2023-12-06 DOI:10.1098/rsfs.2023.0038
Caroline H Roney, Jose Alonso Solis Lemus, Carlos Lopez Barrera, Alexander Zolotarev, Onur Ulgen, Eric Kerfoot, Laura Bevis, Semhar Misghina, Caterina Vidal Horrach, Ovais A Jaffery, Mahmoud Ehnesh, Cristobal Rodero, Dhani Dharmaprani, Gonzalo R Ríos-Muñoz, Anand Ganesan, Wilson W Good, Aurel Neic, Gernot Plank, Luuk H G A Hopman, Marco J W Götte, Shohreh Honarbakhsh, Sanjiv M Narayan, Edward Vigmond, Steven Niederer
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引用次数: 0

摘要

为了能够进行大规模的硅学试验和临床时间尺度上的个性化模型预测,当务之急是能够快速、可重复地构建模型。首先,我们旨在通过为双层和容积心房模型开发强大的开源管道,克服大规模构建心脏模型的挑战。其次,我们旨在研究纤维、纤维化和模型表示对纤颤动力学的影响。为了构建双层和容积模型,我们扩展了之前开发的坐标系统,以纳入透射性、心房区域和纤维(基于规则或数据驱动的弥散张量磁共振成像(MRI))。我们创建了一个包含 1000 个双心房双层和容积模型的群组,这些模型来自计算机断层扫描(CT)数据以及核磁共振成像和电解剖图。在整个 CT 队列中,双层模拟和容积模拟的纤颤动力学存在差异(相位奇异图的相关系数:左心房(LA)0.27 ± 0.19,右心房(RA)0.41 ± 0.14)。加入纤维重塑可稳定再进入,并减少模型类型的影响(左心房:0.52 ± 0.20,右心房:0.36 ± 0.18)。纤维场的选择对起搏激活数据(小于 12 毫秒)的影响较小,但对纤颤动力学的影响较大。总之,我们开发了一个开源的用户友好型管道,用于从成像或电解剖映射数据生成心房模型,从而实现大规模的硅学临床试验 (https://github.com/pcmlab/atrialmtk)。
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Constructing bilayer and volumetric atrial models at scale.

To enable large in silico trials and personalized model predictions on clinical timescales, it is imperative that models can be constructed quickly and reproducibly. First, we aimed to overcome the challenges of constructing cardiac models at scale through developing a robust, open-source pipeline for bilayer and volumetric atrial models. Second, we aimed to investigate the effects of fibres, fibrosis and model representation on fibrillatory dynamics. To construct bilayer and volumetric models, we extended our previously developed coordinate system to incorporate transmurality, atrial regions and fibres (rule-based or data driven diffusion tensor magnetic resonance imaging (MRI)). We created a cohort of 1000 biatrial bilayer and volumetric models derived from computed tomography (CT) data, as well as models from MRI, and electroanatomical mapping. Fibrillatory dynamics diverged between bilayer and volumetric simulations across the CT cohort (correlation coefficient for phase singularity maps: left atrial (LA) 0.27 ± 0.19, right atrial (RA) 0.41 ± 0.14). Adding fibrotic remodelling stabilized re-entries and reduced the impact of model type (LA: 0.52 ± 0.20, RA: 0.36 ± 0.18). The choice of fibre field has a small effect on paced activation data (less than 12 ms), but a larger effect on fibrillatory dynamics. Overall, we developed an open-source user-friendly pipeline for generating atrial models from imaging or electroanatomical mapping data enabling in silico clinical trials at scale (https://github.com/pcmlab/atrialmtk).

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来源期刊
Interface Focus
Interface Focus BIOLOGY-
CiteScore
9.20
自引率
0.00%
发文量
44
审稿时长
6-12 weeks
期刊介绍: Each Interface Focus themed issue is devoted to a particular subject at the interface of the physical and life sciences. Formed of high-quality articles, they aim to facilitate cross-disciplinary research across this traditional divide by acting as a forum accessible to all. Topics may be newly emerging areas of research or dynamic aspects of more established fields. Organisers of each Interface Focus are strongly encouraged to contextualise the journal within their chosen subject.
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