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Aneurysmal wall enhancement and hemodynamics: pixel-level correlation between spatial distribution.
Fu, Mingzhu; Peng, Fei; Zhang, Miaoqi; Chen, Shuo; Niu, Hao; He, Xiaoxin; Xu, Boya; Liu, Aihua; Li, Rui.
Afiliação
  • Fu M; Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Peng F; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Zhang M; Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China.
  • Chen S; China National Clinical Research Center for Neurological Diseases, Beijing, China.
  • Niu H; Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • He X; Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Xu B; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Liu A; Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China.
  • Li R; China National Clinical Research Center for Neurological Diseases, Beijing, China.
Quant Imaging Med Surg ; 12(7): 3692-3704, 2022 Jul.
Article em En | MEDLINE | ID: mdl-35782262
ABSTRACT

Background:

Inflammation and hemodynamics are interrelated risk factors for intracranial aneurysm rupture. This study aimed to identify the relationship between these risk factors from an individual-patient perspective using biomarkers of aneurysm wall enhancement (AWE) derived from high-resolution magnetic resonance imaging (HR-MRI) and hemodynamic parameters by four-dimensional flow MRI (4D-flow MRI).

Methods:

A total of 29 patients with 29 unruptured intracranial aneurysms larger than 4 mm were included in this prospective cross-sectional study. A total of 24 aneurysms had AWE and 5 did not have AWE. A three-dimensional (3D) vessel model of each individual aneurysm was generated with 3D time-of-flight magnetic resonance angiography (3D TOF-MRA). Quantification of AWE was sampled with HR-MRI. Time-averaged wall shear stress (WSS) and oscillatory shear index (OSI) were calculated from the 4D-flow MRI. The correlation between spatial distribution of AWE and hemodynamic parameters measured at pixel-level was evaluated for each aneurysm.

Results:

In aneurysms with AWE, the spatial distribution of WSS was negatively correlated with AWE in 100% (24/24) of aneurysms, though 2 had an absolute value of the correlation coefficient <0.1. The OSI was positively correlated with AWE in 91.7% (22/24) of aneurysms; the other 2 aneurysms showed a negative correlation with AWE. In aneurysms with no AWE, there was no correlation between WSS (100%, 5/5), OSI (80%, 4/5), and wall inflammation.

Conclusions:

The spatial distribution of WSS was negatively correlated with AWE in aneurysms with AWE, and OSI was positively correlated with AWE in most aneurysms with AWE. While aneurysms that did not contain AWE showed no correlation between hemodynamics and wall inflammation.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article