Aneurysm wall enhancement, hemodynamics, and morphology of intracranial fusiform aneurysms.

aneurysm wall enhancement computational fluid dynamics hemodynamics intracranial fusiform aneurysm morphology

Journal

Frontiers in aging neuroscience
ISSN: 1663-4365
Titre abrégé: Front Aging Neurosci
Pays: Switzerland
ID NLM: 101525824

Informations de publication

Date de publication:
2023
Historique:
received: 16 01 2023
accepted: 20 02 2023
medline: 31 3 2023
entrez: 30 3 2023
pubmed: 31 3 2023
Statut: epublish

Résumé

Intracranial fusiform aneurysms (IFAs) are considered to have a complex pathophysiology process and poor natural history. The purpose of this study was to investigate the pathophysiological mechanisms of IFAs based on the characteristics of aneurysm wall enhancement (AWE), hemodynamics, and morphology. A total of 21 patients with 21 IFAs (seven fusiform types, seven dolichoectatic types, and seven transitional types) were included in this study. Morphological parameters of IFAs were measured from the vascular model, including the maximum diameter (D The results showed that D There were significant differences in AWE distributions and morphological features among the three IFA types. Additionally, AWE was positively associated with the aneurysm size, OSI, GON, and RRT, while negatively correlated with TAWSS. However, the underlying pathological mechanism of the three fusiform aneurysm types needs to be further studied.

Sections du résumé

Background and objective UNASSIGNED
Intracranial fusiform aneurysms (IFAs) are considered to have a complex pathophysiology process and poor natural history. The purpose of this study was to investigate the pathophysiological mechanisms of IFAs based on the characteristics of aneurysm wall enhancement (AWE), hemodynamics, and morphology.
Methods UNASSIGNED
A total of 21 patients with 21 IFAs (seven fusiform types, seven dolichoectatic types, and seven transitional types) were included in this study. Morphological parameters of IFAs were measured from the vascular model, including the maximum diameter (D
Results UNASSIGNED
The results showed that D
Conclusion UNASSIGNED
There were significant differences in AWE distributions and morphological features among the three IFA types. Additionally, AWE was positively associated with the aneurysm size, OSI, GON, and RRT, while negatively correlated with TAWSS. However, the underlying pathological mechanism of the three fusiform aneurysm types needs to be further studied.

Identifiants

pubmed: 36993906
doi: 10.3389/fnagi.2023.1145542
pmc: PMC10040612
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1145542

Informations de copyright

Copyright © 2023 Liang, Peng, Yao, Yang, Liu and Chen.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

J Neurosurg. 2020 Jan 10;:1-11
pubmed: 31923894
AJNR Am J Neuroradiol. 2014 Jul;35(7):1254-62
pubmed: 23598838
Stroke. 2008 Nov;39(11):2997-3002
pubmed: 18688012
Cerebrovasc Dis. 2005;20(4):270-9
pubmed: 16123548
Neuroradiology. 2020 Dec;62(12):1627-1635
pubmed: 32681192
Ther Adv Neurol Disord. 2022 Jul 12;15:17562864221105342
pubmed: 35847373
J Neurointerv Surg. 2021 Dec;13(12):1180-1186
pubmed: 33632878
Stroke. 2016 Jan;47(1):106-12
pubmed: 26604246
AJNR Am J Neuroradiol. 2019 Mar;40(3):510-516
pubmed: 30733253
World Neurosurg. 2017 Sep;105:632-642
pubmed: 28619494
J Neurointerv Surg. 2019 Nov;11(11):1105-1112
pubmed: 31337731
AJNR Am J Neuroradiol. 2021 Mar;42(3):464-470
pubmed: 33361379
World Neurosurg. 2020 Feb;134:e649-e656
pubmed: 31689567
World Neurosurg. 2012 Nov;78(5):462-8
pubmed: 22120259
Cerebrovasc Dis. 2018;45(1-2):68-77
pubmed: 29439265
AJNR Am J Neuroradiol. 2018 Nov;39(11):2082-2087
pubmed: 30262645
Eur Radiol. 2020 Jan;30(1):301-307
pubmed: 31218429
Front Neurol. 2022 May 09;13:781240
pubmed: 35614912
Stroke. 2011 Jan;42(1):144-52
pubmed: 21106956
Neurosurg Focus. 2019 Jul 1;47(1):E13
pubmed: 31261117
Quant Imaging Med Surg. 2022 Jul;12(7):3692-3704
pubmed: 35782262
J Am Heart Assoc. 2021 Jan 19;10(2):e018633
pubmed: 33410330
J Neurosurg. 2021 Aug 13;136(2):449-455
pubmed: 34388724
Stroke. 2018 Oct;49(10):2516-2519
pubmed: 30355091
World Neurosurg. 2019 Dec;132:e775-e782
pubmed: 31415889
Eur J Radiol. 2020 Aug;129:109064
pubmed: 32474380
PLoS One. 2018 Jan 16;13(1):e0191287
pubmed: 29338059
Transl Stroke Res. 2020 Oct;11(5):882-889
pubmed: 31960286
J Biomech. 2009 Mar 11;42(4):550-4
pubmed: 19195658
Neurosurg Clin N Am. 2014 Jul;25(3):471-84
pubmed: 24994085
R Soc Open Sci. 2018 Oct 31;5(10):180780
pubmed: 30473829
Stroke Vasc Neurol. 2021 Sep;6(3):467-475
pubmed: 33637615
Stroke. 2013 Dec;44(12):3613-22
pubmed: 24130141
J Neurosurg. 2020 Feb 07;134(3):862-869
pubmed: 32032948
Eur J Clin Invest. 2018 Sep;48(9):e12992
pubmed: 29962043
Front Neurol. 2022 Jul 22;13:945526
pubmed: 35959406

Auteurs

Xinyu Liang (X)

School of Life Sciences, Beijing Institute of Technology, Beijing, China.

Fei Peng (F)

Neurointerventional Center, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Yunchu Yao (Y)

School of Life Sciences, Beijing Institute of Technology, Beijing, China.

Yuting Yang (Y)

School of Life Sciences, Beijing Institute of Technology, Beijing, China.

Aihua Liu (A)

Neurointerventional Center, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Duanduan Chen (D)

School of Life Sciences, Beijing Institute of Technology, Beijing, China.
School of Medical Technology, Beijing Institute of Technology, Beijing, China.

Classifications MeSH