Data-driven computational models of ventricular-arterial hemodynamics in pediatric pulmonary arterial hypertension.
Data-driven computational models of ventricular-arterial hemodynamics in pediatric pulmonary arterial hypertension.
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DOI：
10.3389/fphys.2022.958734
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发表时间：
2022
影响因子：
4
通讯作者：
Figueroa, C. Alberto
中科院分区：
文献类型：
--
作者：
Tossas-Betancourt, Christopher;Li, Nathan Y.;Shavik, Sheikh M.;Afton, Katherine;Beckman, Brian;Whiteside, Wendy;Olive, Mary K.;Lim, Heang M.;Lu, Jimmy C.;Phelps, Christina M.;Gajarski, Robert J.;Lee, Simon;Nordsletten, David A.;Grifka, Ronald G.;Dorfman, Adam L.;Baek, Seungik;Lee, Lik Chuan;Figueroa, C. Alberto
关键词：
肺动脉高压（PAH）是一种复杂的疾病，涉及肺动脉阻力增加和随后的右心室（RV）重塑。心室-动脉相互作用是多环芳烃病理生理学的基础，但很少在计算模型中被捕获。重要的是确定捕获和量化这些相互作用的指标，以告知我们对这种疾病的理解，并可能促进患者分层。为此，我们使用开源软件开发并校准了两个多尺度高分辨率闭环计算模型：使用CRIMSON实现的高分辨率动脉模型和使用FEniCS实现的高分辨率心室模型。模型是根据一组儿童PAH患者的临床数据构建的，包括无创成像和有创血流动力学测量。这项工作的一个贡献是讨论了PAH患者常规获得的解剖和血流动力学数据的不一致性。我们提出并实施了减轻这些不一致的策略，并随后使用这些数据来通知和校准心室和大动脉的计算模型。校正基于调整后临床数据的计算模型，直到高分辨率动脉模型的模拟结果与调整后的压力和流量数据匹配在10%以内，而高分辨率心室模型的模拟结果与调整后的体积和压力波形数据匹配在10%以内。进行了统计分析，将许多数据衍生和模型衍生的指标与临床评估的疾病严重程度联系起来。几个模型衍生的指标与临床评估的疾病严重程度密切相关，表明计算模型可能有助于评估PAH的严重程度。
Pulmonary arterial hypertension (PAH) is a complex disease involving increased resistance in the pulmonary arteries and subsequent right ventricular (RV) remodeling. Ventricular-arterial interactions are fundamental to PAH pathophysiology but are rarely captured in computational models. It is important to identify metrics that capture and quantify these interactions to inform our understanding of this disease as well as potentially facilitate patient stratification. Towards this end, we developed and calibrated two multi-scale high-resolution closed-loop computational models using open-source software: a high-resolution arterial model implemented using CRIMSON, and a high-resolution ventricular model implemented using FEniCS. Models were constructed with clinical data including non-invasive imaging and invasive hemodynamic measurements from a cohort of pediatric PAH patients. A contribution of this work is the discussion of inconsistencies in anatomical and hemodynamic data routinely acquired in PAH patients. We proposed and implemented strategies to mitigate these inconsistencies, and subsequently use this data to inform and calibrate computational models of the ventricles and large arteries. Computational models based on adjusted clinical data were calibrated until the simulated results for the high-resolution arterial models matched within 10% of adjusted data consisting of pressure and flow, whereas the high-resolution ventricular models were calibrated until simulation results matched adjusted data of volume and pressure waveforms within 10%. A statistical analysis was performed to correlate numerous data-derived and model-derived metrics with clinically assessed disease severity. Several model-derived metrics were strongly correlated with clinically assessed disease severity, suggesting that computational models may aid in assessing PAH severity.
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影响因子：
3.8
作者：
Bayer, J. D.;Blake, R. C.;Plank, G.;Trayanova, N. A.
通讯作者：
Trayanova, N. A.
DOI：
10.1016/j.cma.2005.11.011
发表时间：
2006-01-01
影响因子：
7.2
作者：
Figueroa, C. Alberto;Vignon-Clementel, Irene E.;Taylor, Charles A.
通讯作者：
Taylor, Charles A.
关于在多尺度，主体血流动力学特定主题模型中建模假设的影响。
DOI：
10.1098/rsif.2016.0073
发表时间：
2016-06
期刊：
Journal of the Royal Society, Interface
影响因子：
--
作者：
Alastruey J;Xiao N;Fok H;Schaeffter T;Figueroa CA
通讯作者：
Figueroa CA
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
影响因子：
5.9
作者：
Alunni, Jean-Philippe;Degano, Bruno;Chabbert, Valerie
通讯作者：
Chabbert, Valerie