ArticleAnnals of biomedical engineering2020
A Combined In Vivo, In Vitro, In Silico Approach for Patient-Specific Haemodynamic Studies of Aortic Dissection.
Article in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- False Lumen Haemodynamics in Type B Aortic Dissection: An in Vitro Study Using PIV and Patient-Specific Flexible Phantoms.Annals of biomedical engineering · 2026Article
- Retearing of type B blind cystic aortic dissection: computational fluid dynamics analysis.Physical and engineering sciences in medicine · 2025Article
- Mechanisms of aortic dissection: From pathological changes to experimental andProgress in materials science · 2025Article
- ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime.PloS one · 2025Article
- Computational fluid dynamics modelling of hemodynamics in aortic aneurysm and dissection: a review.Frontiers in bioengineering and biotechnology · 2025Review
- Stress Load and Ascending Aortic Aneurysms: An Observational, Longitudinal, Single-Center Study Using Computational Fluid Dynamics.Bioengineering (Basel, Switzerland) · 2024Article
- A hybrid mock circulatory loop integrated with a LED-PIV system for the investigation of AAA compliant phantoms.Frontiers in bioengineering and biotechnology · 2024Article
- A novel perfusion bioreactor promotes the expansion of pluripotent stem cells in a 3D-bioprinted tissue chamber.Biofabrication · 2023Article
- Towards Reduced Order Models via Robust Proper Orthogonal Decomposition to capture personalised aortic haemodynamics.Journal of biomechanics · 2023Article
- Soft robotic patient-specific hydrodynamic model of aortic stenosis and ventricular remodeling.Science robotics · 2023Article
- Fluid-structure interaction simulation of visceral perfusion and impact of different cannulation methods on aortic dissection.Scientific reports · 2023Article
- Fabrication of deformable patient-specific AAA models by material casting techniques.Frontiers in cardiovascular medicine · 2023Article
- Aortic arch surgery for type B aortic dissection: How far should we go? The value of a hybrid approach.Clinical case reports · 2023Article
- Mock circulatory loop applications for testing cardiovascular assist devices andFrontiers in physiology · 2023Review
- Experimental evaluation of the patient-specific haemodynamics of an aortic dissection model using particle image velocimetry.Journal of biomechanics · 2022Article
- AnFrontiers in cardiovascular medicine · 2022Article
- The effect of beta-blockers on hemodynamic parameters in patient-specific blood flow simulations of type-B aortic dissection: a virtual study.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The optimal treatment of Type-B aortic dissection (AD) is still a subject of debate, with up to 50% of the cases developing late-term complications requiring invasive intervention. A better understanding of the patient-specific haemodynamic features of AD can provide useful insights on disease progression and support clinical management. In this work, a novel in vitro and in silico framework to perform personalised studies of AD, informed by non-invasive clinical data, is presented. A Type-B AD was investigated in silico using computational fluid dynamics (CFD) and in vitro by means of a state-of-the-art mock circulatory loop and particle image velocimetry (PIV). Both models not only reproduced the anatomical features of the patient, but also imposed physiologically-accurate and personalised boundary conditions. Experimental flow rate and pressure waveforms, as well as detailed velocity fields acquired via PIV, are extensively compared against numerical predictions at different locations in the aorta, showing excellent agreement. This work demonstrates how experimental and numerical tools can be developed in synergy to accurately reproduce patient-specific AD blood flow. The combined platform presented herein constitutes a powerful tool for advanced haemodynamic studies for a range of vascular conditions, allowing not only the validation of CFD models, but also clinical decision support, surgical planning as well as medical device innovation.
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