Aneurysm Wall Enhancement Can Predict Rupture Point in Intracranial Aneurysms With Multiple Blebs.


Journal

Neurosurgery
ISSN: 1524-4040
Titre abrégé: Neurosurgery
Pays: United States
ID NLM: 7802914

Informations de publication

Date de publication:
08 Aug 2024
Historique:
received: 02 05 2024
accepted: 25 06 2024
medline: 8 8 2024
pubmed: 8 8 2024
entrez: 8 8 2024
Statut: aheadofprint

Résumé

Ruptured aneurysms visualized by vessel wall MRI (VW-MRI) exhibit characteristic aneurysm wall enhancement (AWE). A secondary bulge of the aneurysmal wall, called a bleb, is often the site of rupture in ruptured aneurysms. We hypothesized that a higher degree of AWE would identify the rupture point in aneurysms with multiple blebs. AWE was quantitatively analyzed in consecutive ruptured intracranial aneurysms with multiple blebs (31 aneurysms with a total of 72 blebs) using VW-MRI. A 3-dimensional T1-weighted fast spin-echo sequence was obtained after contrast media injection, and the contrast ratio of the aneurysm wall against the pituitary stalk (CRstalk) was calculated as the AWE indicator. Bleb characteristics, including CRstalk and wall shear stress (WSS), were compared between ruptured and unruptured blebs. Odds ratios with 95% confidence intervals for ruptures were calculated by conditional logistic regression analysis. Ruptured blebs had a higher CRstalk and lower WSS compared with unruptured blebs. CRstalk remained significantly associated with the bleb rupture status in the conditional logistic regression (adjusted odds ratio 3.9, 95% CIs 1.6-9.7). AWE is associated with the bleb rupture status independent of WSS. Contrast-enhanced VW-MRI may be a useful noninvasive tool for identifying the rupture point and guiding the treatment strategy.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Ruptured aneurysms visualized by vessel wall MRI (VW-MRI) exhibit characteristic aneurysm wall enhancement (AWE). A secondary bulge of the aneurysmal wall, called a bleb, is often the site of rupture in ruptured aneurysms. We hypothesized that a higher degree of AWE would identify the rupture point in aneurysms with multiple blebs.
METHODS METHODS
AWE was quantitatively analyzed in consecutive ruptured intracranial aneurysms with multiple blebs (31 aneurysms with a total of 72 blebs) using VW-MRI. A 3-dimensional T1-weighted fast spin-echo sequence was obtained after contrast media injection, and the contrast ratio of the aneurysm wall against the pituitary stalk (CRstalk) was calculated as the AWE indicator. Bleb characteristics, including CRstalk and wall shear stress (WSS), were compared between ruptured and unruptured blebs. Odds ratios with 95% confidence intervals for ruptures were calculated by conditional logistic regression analysis.
RESULTS RESULTS
Ruptured blebs had a higher CRstalk and lower WSS compared with unruptured blebs. CRstalk remained significantly associated with the bleb rupture status in the conditional logistic regression (adjusted odds ratio 3.9, 95% CIs 1.6-9.7).
CONCLUSION CONCLUSIONS
AWE is associated with the bleb rupture status independent of WSS. Contrast-enhanced VW-MRI may be a useful noninvasive tool for identifying the rupture point and guiding the treatment strategy.

Identifiants

pubmed: 39115321
doi: 10.1227/neu.0000000000003134
pii: 00006123-990000000-01305
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Japan Society for the Promotion of Science
ID : 21K09117

Informations de copyright

Copyright © Congress of Neurological Surgeons 2024. All rights reserved.

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Auteurs

Shunsuke Omodaka (S)

Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.

Shin-Ichiro Sugiyama (SI)

Department of Neuroanesthesia, Kohnan Hospital, Sendai, Miyagi, Japan.

Hiroyuki Sakata (H)

Department of Neurosurgery, Kohnan Hospital, Sendai, Miyagi, Japan.

Kenichi Funamoto (K)

Graduate School of Biomedical Engineering, Tohoku University, Sendai, Miyagi, Japan.
Institute of Fluid Science, Tohoku University, Sendai, Miyagi, Japan.

Takuhiro Yamaguchi (T)

Department of Neuroanesthesia, Kohnan Hospital, Sendai, Miyagi, Japan.

Kuniyasu Niizuma (K)

Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Department of Neurosurgical Engineering and Translational Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Department of Neurosurgical Engineering and Translational Neuroscience, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Miyagi, Japan.

Hidenori Endo (H)

Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.

Classifications MeSH