Magnetic Resonance Imaging Investigation of Cervical-Spine Meniscoid Composition: A Validation Study.


Journal

Journal of manipulative and physiological therapeutics
ISSN: 1532-6586
Titre abrégé: J Manipulative Physiol Ther
Pays: United States
ID NLM: 7807107

Informations de publication

Date de publication:
Historique:
received: 13 03 2019
revised: 30 07 2019
accepted: 10 10 2019
pubmed: 31 8 2020
medline: 11 5 2021
entrez: 31 8 2020
Statut: ppublish

Résumé

The composition of cervical-spine meniscoids may have clinical significance in neck-pain conditions, but the accuracy of assessment of meniscoid composition in vivo using magnetic resonance imaging has not been established. The aim of this study was to compare cervical-spine meniscoid composition by magnetic resonance imaging with histologic composition. Four embalmed cadaveric cervical spines (mean [standard deviation] age, 79.5 [3.7] years; 1 female, 3 male) underwent magnetic resonance imaging, allowing radiologic classification of lateral atlantoaxial- and zygapophyseal-joint (C2-3 to C6-7) meniscoids as either mostly fatty, mixed tissue, or mostly connective tissue. Subsequently, each joint was dissected and disarticulated to allow excision of meniscoids for histologic processing. Each meniscoid was sectioned sagittally, stained with hematoxylin and eosin, examined using light microscopy, and classified as adipose, fibroadipose, or fibrous in composition. Data were analyzed using the kappa statistic with linear weighting. From dissection, 62 meniscoids were identified, excised, and processed; 46 of these 62 were visualized with magnetic resonance imaging. For single-rater identifying structures, agreement between assessment of meniscoid composition by magnetic resonance imaging and by microscopy was fair (κ = 0.24; 95% confidence interval, 0.02-0.46; P = .02). Findings suggest that the accuracy of this method of magnetic resonance imaging assessment of cervical-spine meniscoid composition may be limited. This should be considered when planning or interpreting research investigating meniscoid composition using magnetic resonance imaging.

Identifiants

pubmed: 32861523
pii: S0161-4754(20)30050-6
doi: 10.1016/j.jmpt.2019.10.010
pii:
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

579-587

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

Auteurs

Scott F Farrell (SF)

RECOVER Injury Research Centre, National Health and Medical Research Council Centre for Research Excellence in Recovery Following Road Traffic Injuries, The University of Queensland, Herston, Australia; Menzies Health Institute Queensland, Griffith University, Brisbane, Australia. Electronic address: scott.farrell@uq.edu.au.

Jon Cornwall (J)

Otago Medical School, University of Otago, Dunedin, New Zealand; Institute for Health Sciences, Zurich University of Applied Sciences, Winterthur, Switzerland.

Peter G Osmotherly (PG)

School of Health Sciences, The University of Newcastle, Newcastle, Australia.

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