ArticleJournal of biomechanics2022
Experimental evaluation of the patient-specific haemodynamics of an aortic dissection model using particle image velocimetry.
Article in Journal of biomechanics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 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
- Hemodynamic Characterization of Peripheral Arterio-Venous Malformations Using Rapid Contrast-Enhanced MR Imaging: An In Vitro and In Vivo Study.Annals of biomedical engineering · 2025Article
- Mechanisms of aortic dissection: From pathological changes to experimental andProgress in materials science · 2025Article
- How to Study the Mechanobiology of Intestinal Epithelial Organoids? A Review of Culture Supports, Imaging Techniques, and Analysis Methods.Biology of the cell · 2025Review
- Simulation of thoracic endovascular aortic repair in a perfused patient-specific model of type B aortic dissection.International journal of computer assisted radiology and surgery · 2025Article
- Analysis of Umbilical Artery Hemodynamics in Development of Intrauterine Growth Restriction Using Computational Fluid Dynamics with Doppler Ultrasound.Bioengineering (Basel, Switzerland) · 2024Article
- Towards Reduced Order Models via Robust Proper Orthogonal Decomposition to capture personalised aortic haemodynamics.Journal of biomechanics · 2023Article
- Particle Image Velocimetry of 3D-Printed Anatomical Blood Vascular Models Affected by Atherosclerosis.Materials (Basel, Switzerland) · 2023Article
- The effect of terminal impedance on aortic morphology and hemodynamics: anFrontiers in bioengineering and biotechnology · 2023Article
- A Review on Novel Channel Materials for Particle Image Velocimetry Measurements-Usability of Hydrogels in Cardiovascular Applications.Gels (Basel, Switzerland) · 2022Review
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Authors and funding
5 authors.
Funding
Abstract
Aortic Dissection (AD) is a complex pathology that affects the aorta. Diagnosis, management and treatment remain a challenge as it is a highly patient-specific pathology and there is still a limited understanding of the fluid-mechanics phenomena underlying clinical outcomes. Although in vitro models can allow the accurate study of AD flow fields in physical phantoms, they are currently scarce and almost exclusively rely on over simplifying assumptions. In this work, we present the first experimental study of a patient-specific case of AD. An anatomically correct phantom was produced and combined with a state-of-the-art in vitro platform, informed by clinical data, employed to accurately reproduce personalised conditions. The complex AD haemodynamics reproduced by the platform was characterised by flow rate and pressure acquisitions as well as Particle Image Velocimetry (PIV) derived velocity fields. Clinically relevant haemodynamic indices, that can be correlated with AD prognosis - such as velocity, shear rate, turbulent kinetic energy distributions - were extracted in two regions of interest in the aortic domain. The acquired data highlighted the complex nature of the flow (e.g. recirculation regions, low shear rate in the false lumen) and was in very good agreement with the available clinical data and the CFD results of a study conducted alongside, demonstrating the accuracy of the findings. These results demonstrate that the described platform constitutes a powerful, unique tool to reproduce in vitro personalised haemodynamic conditions, which can be used to support the evaluation of surgical procedures, medical devices testing and to validate state-of-the-art numerical models.
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