REVIEW article
Front. Bioeng. Biotechnol.
Sec. Biomechanics
Volume 13 - 2025 | doi: 10.3389/fbioe.2025.1602190
This article is part of the Research TopicDiagnostic and Predictive Roles of Computational Cardiovascular Hemodynamics in the Management of Cardiovascular DiseasesView all 12 articles
Integrated Multidisciplinary Approach to Aneurysm Hemodynamic Analysis: Numerical Simulation, in Vitro Experiment, and Deep Learning
Provisionally accepted
- 1Capital Medical University, Beijing, China
- 2Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- 3Emergency Critical Care Center, Beijing Anzhen Hopital, Capital Medical University, Beijing, China
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Aneurysm, as life-threatening vascular pathologies, are significantly influenced by hemodynamic factors in their development. The combine of numerical simulation and in vitro experiment have laid the foundation for high-precision hemodynamic analysis, while the integration of deep learning technologies has significantly enhanced computational efficiency. However, current researches still face challenges such as limitations in biomimetic materials, and incomplete understanding of mechano-biological coupling mechanisms. In this review, we systematize traditional and emerging methodologies characterizing hemodynamic perturbations across the pathophysiological continuum of aneurysmal expansion, rupture, and thrombosis progression. This review aims to (1) elucidate mechanistic underpinnings of aneurysm destabilization, (2) inspire people to establish standardized quantification protocols for hemodynamic analysis, and (3) pave the way for patient-specific risk stratification enabling data-driven clinical interventions.
Keywords: Aneurysm, hemodynamic, numerical simulation, deep learning, In vitro experiment
Received: 29 Mar 2025; Accepted: 25 Apr 2025.
Copyright: © 2025 Tingting, Wang, Wang and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Fan Tingting, Capital Medical University, Beijing, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.