ArticlePulmonary circulation2025
Patient-Specific Haemodynamic Modeling to Estimate the Extent of Microvascular Disease and Response to Pulmonary Endarterectomy in Chronic Thromboembolic Pulmonary Hypertension.
Article in Pulmonary circulation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- Small vessel disease in chronic thromboembolic pulmonary hypertension: a comprehensive narrative review of multimodality imaging evaluation.Cardiovascular diagnosis and therapy · 2026Review
- Patient-Specific Haemodynamic Modeling to Estimate the Extent of Microvascular Disease and Response to Pulmonary Endarterectomy in Chronic Thromboembolic Pulmonary Hypertension.Pulmonary circulation · 2025Article
- From Patient-Specific Hemodynamic Modeling to Clinical Decision-Making in Chronic Thromboembolic Pulmonary Hypertension: Opportunities and Caveats.Pulmonary circulation · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic thromboembolic pulmonary hypertension (CTEPH) is a form of pulmonary hypertension that is caused by persistent obstruction of the pulmonary arteries by organized thrombi and associated microvascular disease. Pulmonary endarterectomy (PEA) is the gold standard treatment, but the extent of small vessel remodeling, which strongly influences treatment outcomes, remains difficult to quantify pre-operatively. We developed a multiscale, structure-based model of the pulmonary circulation using patient-specific vascular geometries from CT pulmonary angiography (CTPA) and haemodynamic data from right heart catheterization (RHC). Eleven CTEPH patients were included. The model estimated individual remodeling burden by fitting simulated to measured preoperative mean pulmonary artery pressure (mPAP). PEA was simulated by removing flow obstructions to predict Postoperative mPAP and pulmonary vascular resistance (PVR), both under pre- and post-PEA boundary conditions. Model predictions of post-PEA mPAP and PVR were in reasonable agreement with measured outcomes, especially when Postoperative boundary conditions were applied. Predicted changes in mPAP (∆mPAP) strongly correlated with clinical values (
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Registered trials
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