Visualization of the Aneurysm Wall: A 7.0 Tesla MRI Study

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

doi:10.1227/NEU.0000000000000559

Visualization of the Aneurysm Wall: A 7.0 Tesla MRI Study

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

^*Corresponding author for this work

Utrecht University

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Pages (from-to)	614-622
Number of pages	9
Journal	Neurosurgery
Volume	75
Issue number	6
DOIs	https://doi.org/10.1227/NEU.0000000000000559
Publication status	Published - 24 Sept 2014

Keywords

Aneurysm
Cerebrovascular disorders
Magnetic resonance imaging
Risk factor
Wall thickness

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10.1227/NEU.0000000000000559

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@article{524e0b95212b452084704eb237e801bb,

title = "Visualization of the Aneurysm Wall: A 7.0 Tesla MRI Study",

abstract = "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.",

keywords = "Aneurysm, Cerebrovascular disorders, Magnetic resonance imaging, Risk factor, Wall thickness",

author = "Rachel Kleinloog and Emine Korkmaz and Zwanenburg, {Jaco J M} and Kuijf, {Hugo J.} and Fredy Visser and Roos Blankena and Post, {Jan Andries} and Ruigrok, {Ynte M.} and Luijten, {Peter R.} and Luca Regli and Rinkel, {Gabriel J E} and Verweij, {Bon H.}",

year = "2014",

month = sep,

day = "24",

doi = "10.1227/NEU.0000000000000559",

language = "English",

volume = "75",

pages = "614--622",

journal = "Neurosurgery",

issn = "0148-396X",

publisher = "Lippincott Williams and Wilkins Ltd.",

number = "6",

}

TY - JOUR

T1 - Visualization of the Aneurysm Wall

T2 - A 7.0 Tesla MRI Study

AU - Kleinloog, Rachel

AU - Korkmaz, Emine

AU - Zwanenburg, Jaco J M

AU - Kuijf, Hugo J.

AU - Visser, Fredy

AU - Blankena, Roos

AU - Post, Jan Andries

AU - Ruigrok, Ynte M.

AU - Luijten, Peter R.

AU - Regli, Luca

AU - Rinkel, Gabriel J E

AU - Verweij, Bon H.

PY - 2014/9/24

Y1 - 2014/9/24

N2 - 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.

AB - 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.

KW - Aneurysm

KW - Cerebrovascular disorders

KW - Magnetic resonance imaging

KW - Risk factor

KW - Wall thickness

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DO - 10.1227/NEU.0000000000000559

M3 - Article

SN - 0148-396X

VL - 75

SP - 614

EP - 622

JO - Neurosurgery

JF - Neurosurgery

IS - 6

ER -

Visualization of the Aneurysm Wall: A 7.0 Tesla MRI Study

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