Department of Mathematics, North Carolina State University, Raleigh, North Carolina.
Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina.
Am J Physiol Heart Circ Physiol. 2021 Aug 1;321(2):H318-H338. doi: 10.1152/ajpheart.00086.2021. Epub 2021 Jun 18.
Chronic thromboembolic pulmonary hypertension (CTEPH) is caused by recurrent or unresolved pulmonary thromboemboli, leading to perfusion defects and increased arterial wave reflections. CTEPH treatment aims to reduce pulmonary arterial pressure and reestablish adequate lung perfusion, yet patients with distal lesions are inoperable by standard surgical intervention. Instead, these patients undergo balloon pulmonary angioplasty (BPA), a multisession, minimally invasive surgery that disrupts the thromboembolic material within the vessel lumen using a catheter balloon. However, there still lacks an integrative, holistic tool for identifying optimal target lesions for treatment. To address this insufficiency, we simulate CTEPH hemodynamics and BPA therapy using a multiscale fluid dynamics model. The large pulmonary arterial geometry is derived from a computed tomography (CT) image, whereas a fractal tree represents the small vessels. We model ring- and web-like lesions, common in CTEPH, and simulate normotensive conditions and four CTEPH disease scenarios; the latter includes both large artery lesions and vascular remodeling. BPA therapy is simulated by simultaneously reducing lesion severity in three locations. Our predictions mimic severe CTEPH, manifested by an increase in mean proximal pulmonary arterial pressure above 20 mmHg and prominent wave reflections. Both flow and pressure decrease in vessels distal to the lesions and increase in unobstructed vascular regions. We use the main pulmonary artery (MPA) pressure, a wave reflection index, and a measure of flow heterogeneity to select optimal target lesions for BPA. In summary, this study provides a multiscale, image-to-hemodynamics pipeline for BPA therapy planning for patients with inoperable CTEPH. This article presents novel computational framework for predicting pulmonary hemodynamics in chronic thromboembolic pulmonary hypertension. The mathematical model is used to identify the optimal target lesions for balloon pulmonary angioplasty, combining simulated pulmonary artery pressure, wave intensity analysis, and a new quantitative metric of flow heterogeneity.
慢性血栓栓塞性肺动脉高压(CTEPH)由复发性或未解决的肺血栓栓塞引起,导致灌注缺陷和动脉波反射增加。CTEPH 的治疗旨在降低肺动脉压并重新建立足够的肺灌注,但标准手术干预无法对有远端病变的患者进行手术。相反,这些患者接受球囊肺动脉成形术(BPA),这是一种多阶段、微创手术,通过导管球囊破坏血管腔内的血栓栓塞物质。然而,仍然缺乏一种综合的、整体的工具来识别最佳的治疗靶病变。为了解决这个不足,我们使用多尺度流体动力学模型模拟 CTEPH 血流动力学和 BPA 治疗。大的肺动脉几何形状是从 CT 图像中得出的,而分形树代表小血管。我们模拟了 CTEPH 中常见的环状和网眼状病变,并模拟了正常血压和四种 CTEPH 疾病情况;后者包括大动脉病变和血管重塑。通过同时在三个位置降低病变严重程度来模拟 BPA 治疗。我们的预测模拟了严重的 CTEPH,表现为近端肺动脉平均压力升高超过 20mmHg 和明显的波反射。病变远端的血流和压力降低,而未阻塞血管区域的血流增加。我们使用主肺动脉(MPA)压力、波反射指数和血流异质性的度量来选择 BPA 的最佳靶病变。总之,这项研究为无法手术的 CTEPH 患者提供了一种用于 BPA 治疗计划的多尺度、从图像到血流动力学的管道。本文提出了一种新的计算框架,用于预测慢性血栓栓塞性肺动脉高压的肺血流动力学。该数学模型用于识别球囊肺动脉成形术的最佳靶病变,结合模拟肺动脉压、波强分析和新的血流异质性定量指标。