TITLE:
Computational Fluid Dynamics for Assessing Intracranial Aneurysm Formation, Progression, and Rupture
AUTHORS:
Zixuan Deng, Ruolin Xiao, Jing Luo, Xiujuan Liu
KEYWORDS:
Intracranial Aneurysm, Computational Fluid Dynamics, Hemodynamics, Aneurysm Growth, Rupture Risk
JOURNAL NAME:
Journal of Biosciences and Medicines,
Vol.14 No.9,
September
17,
2026
ABSTRACT: Intracranial aneurysms (IAs) are often likened to “time bombs” within the human brain, as they may rupture unpredictably once entering an unstable state. Elucidation of the mechanisms underlying IA formation and progression is essential for understanding aneurysm instability. The formation and evolution of IAs have been shown to be closely associated with hemodynamic factors. Computational fluid dynamics (CFD), by enabling the simulation of patient-specific hemodynamic environments, has identified a range of qualitative and quantitative hemodynamic parameters that play critical roles in the formation, progression, and rupture of IAs. These advances provide important insights into the assessment of rupture risk. In the future, CFD is expected to be integrated with emerging medical imaging techniques and artificial intelligence in a multimodal framework, combined with longitudinal follow-up data, to establish more robust and accurate tools for IA rupture risk prediction.