Anatomical evaluation of intracranial aneurysm rupture risk in patients with multiple aneurysms.


Journal

Neurosurgical review
ISSN: 1437-2320
Titre abrégé: Neurosurg Rev
Pays: Germany
ID NLM: 7908181

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 30 04 2018
accepted: 15 06 2018
revised: 28 05 2018
pubmed: 1 7 2018
medline: 7 8 2019
entrez: 1 7 2018
Statut: ppublish

Résumé

In patients with aneurysmal subarachnoid hemorrhage (aSAH) and multiple aneurysms, there is a need to objectively identify the ruptured aneurysm. Additionally, studying the intra-individual rupture risk of multiple aneurysms eliminates extrinsic risk factors and allows a focus on anatomical factors, which could be extrapolated to patients with single aneurysms too. Retrospective bi-center study (Department of Neurosurgery of the University Hospital Duesseldorf and Bern) on patients with multiple aneurysms and subarachnoid hemorrhage caused by the rupture of one of them. Parameters investigated were height, width, neck, shape, inflow angle, diameter of the proximal and distal arteries, width/neck ratio, height/width ratio, height/neck ratio, and localization. Statistical analysis and logistic regressions were performed by the R program, version 3.4.3. N = 186 patients with aSAH and multiple aneurysms were treated in either department from 2008 to 2016 (Bern: 2008-2016, 725 patients and 100 multiple aneurysms, Duesseldorf: 2012-2016, 355 patients, 86 multiple aneurysms). The mean age was 57 years. N = 119 patients had 2 aneurysms, N = 52 patients had 3 aneurysms, N = 14 had 4 aneurysms and N = 1 had 5 aneurysms. Eighty-four percent of ruptured aneurysms were significantly larger than the largest unruptured. Multilobularity of ruptured aneurysms was significantly higher than in unruptured. Metric variables describing the geometry (height, width, etc.) and shape are the most predictive for rupture. One or two of them alone are already reliable predictors. Ratios are completely redundant in saccular aneurysms.

Identifiants

pubmed: 29959638
doi: 10.1007/s10143-018-0998-1
pii: 10.1007/s10143-018-0998-1
doi:

Types de publication

Journal Article

Langues

eng

Pagination

539-547

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Auteurs

Christian Fung (C)

Department of Neurosurgery, Inselspital, University of Bern, Bern, Switzerland.
Department of Neurosurgery, Inselspital, University of Freiburg, Freiburg, Switzerland.

Evangelos Mavrakis (E)

Department of Neurosurgery, University Hospital Duesseldorf, Duesseldorf, Germany.

Andreas Filis (A)

Department of Neurosurgery, Imland Hospital Rendsburg, Rendsburg, Germany. andreasfilis79@yahoo.de.

Igor Fischer (I)

Division of Informatics and Data Science, Department of Neurosurgery, University Hospital Duesseldorf, Duesseldorf, Germany.

Marian Suresh (M)

Department of Neurosurgery, University Hospital Duesseldorf, Duesseldorf, Germany.

Angelo Tortora (A)

Department of Neurosurgery, University Hospital Duesseldorf, Duesseldorf, Germany.

Jan F Cornelius (JF)

Department of Neurosurgery, University Hospital Duesseldorf, Duesseldorf, Germany.

Richard Bostelmann (R)

Department of Neurosurgery, University Hospital Duesseldorf, Duesseldorf, Germany.

Jan Gralla (J)

Institute of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland.

Jürgen Beck (J)

Department of Neurosurgery, Inselspital, University of Bern, Bern, Switzerland.
Department of Neurosurgery, Inselspital, University of Freiburg, Freiburg, Switzerland.

Andreas Raabe (A)

Department of Neurosurgery, Inselspital, University of Bern, Bern, Switzerland.

Muhammad Owais Khan (MO)

Department of Pediatrics, Stanford University, Stanford, CA, USA.

Hans Jakob Steiger (HJ)

Department of Neurosurgery, University Hospital Duesseldorf, Duesseldorf, Germany.

Athanasios K Petridis (AK)

Department of Neurosurgery, University Hospital Duesseldorf, Duesseldorf, Germany.

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