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Wang, J., Sun, J., Xu, J., Lu, S., Wang, H., Huang, C., et al. (2022) Detection of Intracranial Aneurysms Using Multiphase CT Angiography with a Deep Learning Model. Academic Radiology, 30, 2477-2486. W
https://doi.org/10.1016/j.acra.2022.12.043

has been cited by the following article:

• TITLE: Research Advances in 4D-CTA for Rupture Risk Assessment of Intracranial Aneurysms

  AUTHORS: Ziyu Zhou, Zixuan Deng, Nan Li, Xiujuan Liu

  KEYWORDS: Intracranial Aneurysm, Rupture Risk Assessment of, 4D-CTA

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.14 No.2, January 30, 2026

  ABSTRACT: Conventional imaging techniques can observe static morphological parameters, such as shape, location, and size, which are related to the rupture of aneurysms, but these parameters may be incomplete and controversial. Currently, dynamic four-dimensional CT angiography (4D-CTA) has been widely used in cerebrovascular imaging. Compared with other traditional imaging methods, 4D-CTA has a higher temporal resolution. By visualizing aneurysm wall motion and blood flow, dynamic morphological parameters can be observed, such as irregular pulsation and morphological change rate, so as to more accurately assess the rupture risk of intracranial aneurysms. This article reviews the progress of the application of 4D-CTA in assessing the risk of ruptured intracranial aneurysms.