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Paritala, P.K., Anbananthan, H., Hautaniemi, J., Smith, M., George, A., Allenby, M., et al. (2023) Reproducibility of the Computational Fluid Dynamic Analysis of a Cerebral Aneurysm Monitored over a Decade. Scientific Reports, 13, Article No. 219.
https://doi.org/10.1038/s41598-022-27354-w

has been cited by the following article:

• 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.