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Visualization of the Aneurysm Wall: A 7.0 Tesla MRI Study.
MedLine Citation:
PMID:  25255252     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND:: Risk prediction of rupture of intracranial aneurysms is poor, and mainly based on lumen characteristics. However, characteristics of the aneurysm wall may be more informative predictors. The limited resolution of currently available imaging techniques, and the thin aneurysm wall, make imaging of wall thickness challenging.
OBJECTIVE:: To introduce a novel protocol for imaging wall thickness variation using ultra-high resolution 7.0 Tesla MRI.
METHODS:: We studied 33 unruptured intracranial aneurysms in 24 patients with a T1-weighted three-dimensional magnetization prepared inversion recovery turbo-spin-echo whole brain sequence with a resolution of 0.8 mm x 0.8 mm x 0.8 mm. We performed a validation study with a wedge phantom, and with two aneurysm wall biopsies obtained during aneurysm treatment, using ex vivo MRI and histological examination, and correlating variations in MRI signal intensity with variations in actual thickness of the aneurysm wall.
RESULTS:: In vivo, the aneurysm wall was visible in 28 of the 33 aneurysms. Variation in signal intensity was observed in all visible aneurysm walls. Ex vivo MRI showed variation in signal intensity across the wall of the biopsies, similar as observed on the in vivo images. Signal intensity and actual thickness in both biopsies had a linear correlation with Pearson correlation coefficients of 0.85 and 0.86.
CONCLUSION:: Unruptured intracranial aneurysm wall and its variation in thickness can be visualized with 7.0 Tesla MRI. Aneurysm wall thickness variation can now be further studied as a risk factor for rupture in prospective studies.
Authors:
Rachel Kleinloog; Emine Korkmaz; Jaco J M Zwanenburg; Hugo J Kuijf; Fredy Visser; Roos Blankena; Jan Andries Post; Ynte M Ruigrok; Peter R Luijten; Luca Regli; Gabriel J E Rinkel; Bon H Verweij
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-9-24
Journal Detail:
Title:  Neurosurgery     Volume:  -     ISSN:  1524-4040     ISO Abbreviation:  Neurosurgery     Publication Date:  2014 Sep 
Date Detail:
Created Date:  2014-9-25     Completed Date:  -     Revised Date:  2014-9-26    
Medline Journal Info:
Nlm Unique ID:  7802914     Medline TA:  Neurosurgery     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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