Associations between haemodynamics and wall enhancement of intracranial aneurysm
Autor: | Liu Aihua, Huijun Chen, Peng Fei, Hao Niu, Yunduo Li, Peng Liu, Baorui Zhang, Rui Li, Miaoqi Zhang, Xin Feng, Xin Tong, Guangrong Song, Youxiang Li |
---|---|
Rok vydání: | 2021 |
Předmět: |
Hemodynamics
Parent artery lcsh:RC346-429 030218 nuclear medicine & medical imaging vessel wall 03 medical and health sciences 0302 clinical medicine Aneurysm Humans Medicine Aneurysm formation lcsh:Neurology. Diseases of the nervous system Retrospective Studies Original Research business.industry Intracranial Aneurysm Blood flow medicine.disease Magnetic Resonance Imaging inflammation aneurysm Stress Mechanical Neurology (clinical) Cardiology and Cardiovascular Medicine business Nuclear medicine 030217 neurology & neurosurgery MRI |
Zdroj: | Stroke and Vascular Neurology, Vol, Iss Stroke and Vascular Neurology |
ISSN: | 2059-8696 2059-8688 |
DOI: | 10.1136/svn-2020-000636 |
Popis: | Background and purposePrevious studies have reported about inflammation processes (IPs) that play important roles in aneurysm formation and rupture, which could be driven by blood flow. IPs can be identified using aneurysmal wall enhancement (AWE) on high-resolution black-blood MRI (BB-MRI) and blood flow haemodynamics can be demonstrated by four-dimensional-flow MRI (4D-flow MRI). Thus, this study investigated the associations between AWE and haemodynamics in unruptured intracranial aneurysms (IA) by combining 4D-flow MRI and high-resolution BB-MRI.Materials and methodsBetween April 2014 and October 2017, 48 patients with 49 unruptured IA who underwent both 4D-flow MRI and high-resolution BB-MRI were retrospectively included in this study. The haemodynamic parameters demonstrated using 4D-flow MRI were compared between different AWE patterns using the Kruskal-Wallis test and ordinal regression.ResultsThe results of Kruskal-Wallis test showed that the average wall shear stress in the IA (WSSavg-IA), maximum through-plane velocity in the adjacent parent artery, inflow jet patterns and the average vorticity in IA (vorticityavg-IA) were significantly associated with the AWE patterns. Ordinal regression analysis identified WSSavg-IA (p=0.002) and vorticityavg-IA (p=0.033) as independent predictors of AWE patterns.ConclusionA low WSS and low average vorticity were independently associated with a high AWE grade for IAs larger than 4 mm. Therefore, WSS and average vorticity could predict AWE and circumferential AWE. |
Databáze: | OpenAIRE |
Externí odkaz: |