Lumbar arachnoiditis: Does imaging associate with clinical features?


Journal

Clinical neurology and neurosurgery
ISSN: 1872-6968
Titre abrégé: Clin Neurol Neurosurg
Pays: Netherlands
ID NLM: 7502039

Informations de publication

Date de publication:
05 2020
Historique:
received: 11 10 2019
accepted: 02 02 2020
pubmed: 18 2 2020
medline: 23 6 2021
entrez: 17 2 2020
Statut: ppublish

Résumé

Lumbar arachnoiditis is a rare and debilitating neurologic disorder with multiple etiologies and a spectrum of imaging and clinical characteristics. Prior reports have anecdotally claimed that no association exists between findings of arachnoiditis observed on magnetic resonance imaging (MRI) and those assessed clinically. The purpose of this study was to determine if MRI features of lumbar arachnoiditis associate with the clinical findings of the disorder. Twenty eight patients with lumbar arachnoiditis reported on MRI between 2012 and 2018 were retrospectively identified. A variety of MRI and clinical features of lumbar arachnoiditis were cataloged for these patients based on common findings discovered through literature review. Imaging findings included cauda equina nerve root contour and thickening, adhesion location, level of involvement, enhancement, and Delamarter group. Clinical findings included demographics, etiology, symptom dynamics, and signs/symptoms. Fisher's exact tests were used to determine associations between the imaging and clinical features of lumbar arachnoiditis. In general, MRI findings did not associate with the clinical features of lumbar arachnoiditis with a few exceptions. Most notably, confounding lumbar pathology was associated with symptom dynamics (p = 0.004) and nerve root contour was associated with motor and sensory symptoms (p = 0.01). The suspected arachnoiditis etiology of the majority of patients was either post-operative or post-infectious in nature. MRI findings in lumbar arachnoiditis offer limited insight into the clinical presentation of the disorder.

Identifiants

pubmed: 32062307
pii: S0303-8467(20)30060-3
doi: 10.1016/j.clineuro.2020.105717
pii:
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

105717

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Vincent Parenti (V)

The George Washington University School of Medicine and Health Sciences, 2300 I St. NW, Washington, DC, 20052, USA. Electronic address: vgparenti@gwmail.gwu.edu.

Fahimul Huda (F)

The George Washington University School of Medicine and Health Sciences, 2300 I St. NW, Washington, DC, 20052, USA; Department of Radiology, The George Washington University Hospital, 900 23rd St. NW, Washington, DC, 20037, USA. Electronic address: fhuda@gwmail.gwu.edu.

Perry K Richardson (PK)

The George Washington University School of Medicine and Health Sciences, 2300 I St. NW, Washington, DC, 20052, USA; Department of Neurology, The George Washington University Hospital, 2150 Pennsylvania Ave. NW, Washington, DC, 20037, USA. Electronic address: prichardson@mfa.gwu.edu.

Derek Brown (D)

Department of Biostatistics and Data Science, University of Texas Health Science Center, 1200 Pressler Street, Houston, TX, 77030, USA. Electronic address: derek9@gwmail.gwu.edu.

Manek Aulakh (M)

The George Washington University School of Medicine and Health Sciences, 2300 I St. NW, Washington, DC, 20052, USA; Department of Radiology, The George Washington University Hospital, 900 23rd St. NW, Washington, DC, 20037, USA. Electronic address: maulakh@gwmail.gwu.edu.

M Reza Taheri (MR)

The George Washington University School of Medicine and Health Sciences, 2300 I St. NW, Washington, DC, 20052, USA; Department of Radiology, The George Washington University Hospital, 900 23rd St. NW, Washington, DC, 20037, USA. Electronic address: rtaheri@mfa.gwu.edu.

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