Mastoid fluid signal in acute cerebral venous thrombosis is is associated with increased clot burden.


Journal

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
ISSN: 1532-2653
Titre abrégé: J Clin Neurosci
Pays: Scotland
ID NLM: 9433352

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 12 06 2023
revised: 02 09 2023
accepted: 07 09 2023
medline: 20 11 2023
pubmed: 29 9 2023
entrez: 28 9 2023
Statut: ppublish

Résumé

Mastoid air cell abnormalities in the form of hyperintense T2 fluid signal have been reported in cases of acute Cerebral Venous Thrombosis (CVT) without otologic infection and have been hypothesized to be a result of venous congestion rather than infectious mastoiditis. The aim of this study was to investigate a link between the spectrum of mastoid abnormalities and clot burden in patients with acute CVT. A retrospective study of adult patients admitted to the National Institute of Mental Health and Neurosciences between 2016 and 2023 who were diagnosed with acute CVT and had no clinical evidence of active or recent ear infections was conducted. Pre- and post-contrast MR Images were analyzed to identify the dural sinuses and/or cerebral veins involved and the presence of fluid signal in the mastoid. Fluid signal in the mastoid was graded from 0 to 3 as described by Shah et al- no fluid signal (grade 0), thin curvilinear hyperintensities (grade 1), thick crescenteric hyperintensities (grade 2), and complete hyperintensity (grade 3). Clot Burden Score (CBS) was calculated by assigning one point for each sinus involved, one point for extension of thrombus into the intracranial Internal Jugular Vein (IJV), one point for thrombosis of cortical veins and one point for thrombosis of deep cerebral veins. A total of 89 patients with acute CVT were included in the final analysis. Median time from presentation to MRI was 2 days (range 0-13). 51 patients (57.3%) had fluid signal in the mastoid air cells on T2-weighted images, of whom 33 showed mucosal contrast enhancement. Higher grade of fluid signal in the mastoid was present ipsilateral to the side of venous thrombosis in 59 out of 60 patients with posterior fossa CVT. CBS was significantly different between patients with different grades of fluid signal (p = 0.002). Grade 2-3 fluid signal was associated with higher clot burden (CBS > 3) in both the entire study population (n = 89) - OR = 8.281, 95 %CI: 2.758-24.866 (p < 0.001) and among patients with posterior fossa CVT - OR = 4.375, 95 %CI: 1.320-14.504 (p = 0.016). Among patients with posterior fossa CVT, grade 2-3 fluid signal was associated with left sided transverse and/or sigmoid sinus thrombosis - OR = 5.600, 95 %CI: 1.413-22.188 (p = 0.014), and extension of thrombosis into the IJV - OR = 4.606, 95 %CI: 1.162-18.262 (p = 0.030). T2 fluid signal in the mastoid is associated with venous congestion in adults with acute CVT without evidence of otologic infection. Moderate-to-severe T2 fluid signal in the mastoid air cells is associated with increased clot burden.

Identifiants

pubmed: 37769407
pii: S0967-5868(23)00241-2
doi: 10.1016/j.jocn.2023.09.007
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

54-60

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Alok Govind (A)

Department of Neurology, National Institute of Mental Health and Neruosciences, Bangalore, India.

Raghavendra Kenchaiah (R)

Department of Neurology, National Institute of Mental Health and Neruosciences, Bangalore, India.

Rohin Dubbal (R)

Department of Neurology, National Institute of Mental Health and Neruosciences, Bangalore, India.

Manisha Gupta (M)

Department of Neurology, National Institute of Mental Health and Neruosciences, Bangalore, India.

B K Meghana (BK)

Department of Neurology, National Institute of Mental Health and Neruosciences, Bangalore, India.

Akshaya Saravanan (A)

Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neruosciences, Bangalore, India.

Karthik Kulanthaivelu (K)

Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neruosciences, Bangalore, India.

Subasree Ramakrishnan (S)

Department of Neurology, National Institute of Mental Health and Neruosciences, Bangalore, India.

Girish Baburao Kulkarni (GB)

Department of Neurology, National Institute of Mental Health and Neruosciences, Bangalore, India. Electronic address: gbkulkarni1974@gmail.com.

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