Contrast-Enhanced Magnetic Resonance Imaging, Perfusion Magnetic Resonance Imaging, and 1H-Magnetic Resonance Spectroscopy Distinguish Primary Central Nervous System Vasculitis from Glioblastoma.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
02 2022
Historique:
received: 16 07 2021
revised: 15 11 2021
accepted: 16 11 2021
pubmed: 24 11 2021
medline: 6 8 2022
entrez: 23 11 2021
Statut: ppublish

Résumé

We investigated the ability of magnetic resonance imaging (MRI) to distinguish primary central nervous system vasculitis (PCNSV) from glioblastoma to facilitate the development of an appropriate treatment for PCNSV. We enrolled patients who were treated for PCNSV or glioblastoma at our center between January 2007 and August 2018. We compared the diagnoses of the 2 conditions by retrospectively reviewing patients' data for contrast-enhanced MRI, perfusion MRI, flow-sensitive black-blood (FSBB) imaging, and We evaluated 108 patients (6 PCNSV; 102 glioblastoma). We found a statistically significant correlation between diagnosis and the contrast pattern on MRI. Perivascular enhancement was observed in all cases of PCNSV as follows: ring-like, homogeneous, and irregular patterns were observed in 53 (60%), 18 (20%), and 17 (19%) cases of glioblastoma, respectively. We identified a statistically significant correlation between diagnosis and cerebral blood volume (CBV) in 3 patients with PCNSV who underwent perfusion MRI; and all had low CBVs. Among the 55 patients with glioblastoma who underwent perfusion MRI, low and high CBVs were detected in 3 and 52 patients, respectively. There was no significant correlation between diagnosis and FSBB findings. Evaluation of Contrast-enhanced MRI, perfusion MRI, and quantitative analysis of

Sections du résumé

BACKGROUND
We investigated the ability of magnetic resonance imaging (MRI) to distinguish primary central nervous system vasculitis (PCNSV) from glioblastoma to facilitate the development of an appropriate treatment for PCNSV.
METHODS
We enrolled patients who were treated for PCNSV or glioblastoma at our center between January 2007 and August 2018. We compared the diagnoses of the 2 conditions by retrospectively reviewing patients' data for contrast-enhanced MRI, perfusion MRI, flow-sensitive black-blood (FSBB) imaging, and
RESULTS
We evaluated 108 patients (6 PCNSV; 102 glioblastoma). We found a statistically significant correlation between diagnosis and the contrast pattern on MRI. Perivascular enhancement was observed in all cases of PCNSV as follows: ring-like, homogeneous, and irregular patterns were observed in 53 (60%), 18 (20%), and 17 (19%) cases of glioblastoma, respectively. We identified a statistically significant correlation between diagnosis and cerebral blood volume (CBV) in 3 patients with PCNSV who underwent perfusion MRI; and all had low CBVs. Among the 55 patients with glioblastoma who underwent perfusion MRI, low and high CBVs were detected in 3 and 52 patients, respectively. There was no significant correlation between diagnosis and FSBB findings. Evaluation of
CONCLUSIONS
Contrast-enhanced MRI, perfusion MRI, and quantitative analysis of

Identifiants

pubmed: 34813936
pii: S1878-8750(21)01770-8
doi: 10.1016/j.wneu.2021.11.069
pii:
doi:

Substances chimiques

Amino Acids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e820-e828

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Yushi Kawazoe (Y)

Department of Neurosurgery, Fujita Health University, Toyoake, Aichi, Japan.

Shigeo Ohba (S)

Department of Neurosurgery, Fujita Health University, Toyoake, Aichi, Japan. Electronic address: shigeo.ohba@gmail.com.

Kazuhiro Murayama (K)

Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University, Toyoake, Aichi, Japan.

Shunsuke Nakae (S)

Department of Neurosurgery, Fujita Health University, Toyoake, Aichi, Japan.

Yuya Nishiyama (Y)

Department of Neurosurgery, Fujita Health University, Toyoake, Aichi, Japan.

Masato Abe (M)

Department of Pathology, Fujita Health University, Toyoake, Aichi, Japan.

Mitsuhiro Hasegawa (M)

Department of Neurosurgery, Fujita Health University, Toyoake, Aichi, Japan.

Yuichi Hirose (Y)

Department of Neurosurgery, Fujita Health University, Toyoake, Aichi, Japan.

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