Volumetric White Matter Hyperintensity Ranges Correspond to Fazekas Scores on Brain MRI.


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 09 10 2021
revised: 13 01 2022
accepted: 18 01 2022
pubmed: 15 2 2022
medline: 25 3 2022
entrez: 14 2 2022
Statut: ppublish

Résumé

White matter hyperintensity (WMH) is an abnormal T2 signal in the deep and subcortical white matter visualized on MRI associated with hypertension, cerebrovascular disease, and aging. The Fazekas (Fz) scoring system is a commonly used qualitative tool to assess the severity of WMH. While studies have compared Fazekas scores to other scoring methods, the comparison of Fazekas scores and volume of WMH using current semiautomated volumetric techniques has not been studied. We reviewed MRI studies acquired at our institution between 2015 and 2017. Relative WMH was scored by one author trained in Fazekas scoring. A board certified neuroradiologist scored them independently for confirmation. Manual segmentations of WMH were completed using 3D Slicer 4.9. A 3D model was formed to quantify WMH in milliliters (mL). ANOVA tests were performed to determine the association of Fazekas scores with corresponding WMH volumes. Among the 198 patients in our study, WMH were visualized in 163 (Fz1: n=66; Fz2: n=49; Fz3: n=48). WMH volumes significantly differed according to Fazekas score (F = 141.1, p<0.001), with increasing WMHV associated with higher Fazekas scores: Fz1, range 0.1-8.3 mL (mean 3.7, SD 2.3); Fz2, range 6.0-17.7 mL (mean 10.8, SD 3.1); Fz3, range 14.2-77.2 mL (mean 35.2, SD 17.9); and Fz3 (excluding 11 outliers above 50 mL), 14.2-47.0 mL (mean 27.1, SD 8.9). Fazekas scores correspond with distinct ranges of WMH volume with relatively little overlap, but scores based on volumes are more efficacious. A modified Fazekas from 0-4 should be considered.

Identifiants

pubmed: 35158149
pii: S1052-3057(22)00030-1
doi: 10.1016/j.jstrokecerebrovasdis.2022.106333
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106333

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Ariana Andere (A)

Department of Neurology, Brown University, Providence, RI, United States. Electronic address: ariana_andere@alumni.brown.edu.

Gaurav Jindal (G)

Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, United States.

Janine Molino (J)

Department of Biostatistics, Rhode Island Hospital, Providence, RI, United States.

Scott Collins (S)

Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, United States.

Derek Merck (D)

Department of Emergency Medicine, University of Florida, Gainesville, FL, United States.

Tina Burton (T)

Department of Neurology, Brown University, Providence, RI, United States.

Christoph Stretz (C)

Department of Neurology, Brown University, Providence, RI, United States.

Shadi Yaghi (S)

Department of Neurology, Brown University, Providence, RI, United States.

Daniel C Sacchetti (DC)

Department of Neurology, Brown University, Providence, RI, United States.

Sleiman El Jamal (SE)

Department of Neurology, Brown University, Providence, RI, United States.

Michael E Reznik (ME)

Department of Neurology, Brown University, Providence, RI, United States.

Karen Furie (K)

Department of Neurology, Brown University, Providence, RI, United States.

Shawna Cutting (S)

Department of Neurology, Brown University, Providence, RI, United States.

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