Treatment allocation of ruptured anterior communicating artery aneurysms: The influence of aneurysm morphology.


Journal

Clinical neurology and neurosurgery
ISSN: 1872-6968
Titre abrégé: Clin Neurol Neurosurg
Pays: Netherlands
ID NLM: 7502039

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 22 06 2019
revised: 19 08 2019
accepted: 30 08 2019
pubmed: 9 9 2019
medline: 5 11 2020
entrez: 9 9 2019
Statut: ppublish

Résumé

Since publication of the ISAT study, the majority of neurovascular centers adhere to "coil first" policy for patients with subarachnoid hemorrhage (SAH). However, final allocation in favor of coiling or clipping is based on anatomic features of ruptured intracranial aneurysms with respect to clinical characteristics of SAH. In this study, we analyzed the parameters relevant for treatment allocation of ruptured anterior communicating artery aneurysms (AComAA). From our institutional SAH database, all cases with ruptured AComAA, which underwent diagnostic subtraction angiography (DSA) with subsequent treatment allocation, were included. The radiographic features of AComAA were collected from pre-treatment DSA. In addition, demographic, clinical and radiographic parameters of SAH were recorded. The variables selected through univariate analyses were subsequently evaluated using multivariate regression analysis. Of 300 SAH patients in the final analysis, the majority of the cases underwent endovascular coiling (n = 221, 73.7%). The following aneurysm features were associated with treatment modality in the univariate analysis: maximal sack size (p = 0.034), perpendicular height (p = 0.007), aspect ratio (p < 0.001) and sack/neck-ratio (p = 0.001). Accordingly, the following cutoffs for these variables were defined upon the receiver operating characteristics curves: 5 mm for sack size, 6 mm for perpendicular height, 1.6 for aspect ratio and sack/neck-ratio. In the multivariate analysis, aspect ratio of 1.6 was the only independent predictor of treatment allocation (p = 0.005; aOR = 2.57; 95% CI 1.33-4.96), which remained significant (p = 0.003; aOR = 2.77; 95% CI 1.41-5.45) after adjusting for patients' age, WFNS & Fisher grades, as well as intracerebral hematoma volume. Although not-routinely assessed during initial allocation treatment, our retrospective analysis proved that aspect ratio is a reliable predictor of treatment allocation of ruptured AComAA. Except for large space-occupying ICH commonly obligating the microsurgical treatment, other clinical and radiographic characteristics of SAH do not seem to be of clinical relevance for the selection of treatment modality.

Identifiants

pubmed: 31494460
pii: S0303-8467(19)30302-6
doi: 10.1016/j.clineuro.2019.105506
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105506

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Marvin Darkwah Oppong (M)

Department of Neurosurgery, University Hospital, University of Duisburg-Essen, Essen, Germany. Electronic address: marvin.darkwahoppong@uk-essen.de.

Cornelius Deuschl (C)

Institute for Diagnostic and Interventional Radiology, University Hospital, University of Duisburg-Essen, Essen, Germany.

Daniela Pierscianek (D)

Department of Neurosurgery, University Hospital, University of Duisburg-Essen, Essen, Germany.

Laurèl Rauschenbach (L)

Department of Neurosurgery, University Hospital, University of Duisburg-Essen, Essen, Germany.

Mehdi Chihi (M)

Department of Neurosurgery, University Hospital, University of Duisburg-Essen, Essen, Germany.

Alexander Radbruch (A)

Institute for Diagnostic and Interventional Radiology, University Hospital, University of Duisburg-Essen, Essen, Germany.

Philipp Dammann (P)

Department of Neurosurgery, University Hospital, University of Duisburg-Essen, Essen, Germany.

Karsten H Wrede (KH)

Department of Neurosurgery, University Hospital, University of Duisburg-Essen, Essen, Germany.

Neriman Özkan (N)

Department of Neurosurgery, University Hospital, University of Duisburg-Essen, Essen, Germany.

Oliver Müller (O)

Department of Neurosurgery, University Hospital, University of Duisburg-Essen, Essen, Germany.

Michael Forsting (M)

Institute for Diagnostic and Interventional Radiology, University Hospital, University of Duisburg-Essen, Essen, Germany.

Ulrich Sure (U)

Department of Neurosurgery, University Hospital, University of Duisburg-Essen, Essen, Germany.

Ramazan Jabbarli (R)

Department of Neurosurgery, University Hospital, University of Duisburg-Essen, Essen, Germany.

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