Lesion follows function: video-oculography compared with MRI to diagnose internuclear ophthalmoplegia in patients with multiple sclerosis.

Eye movements Internuclear ophthalmoplegia Magnetic resonance imaging Multiple sclerosis Video oculography

Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 31 08 2022
accepted: 14 10 2022
revised: 13 10 2022
pubmed: 1 11 2022
medline: 2 2 2023
entrez: 31 10 2022
Statut: ppublish

Résumé

Video-oculography (VOG) is used to quantify functional deficits in internuclear ophthalmoplegia (INO), whereas MRI can detect the corresponding structural lesions in the medial longitudinal fasciculus (MLF). This study investigates the diagnostic agreement of MRI compared to VOG measurements. We prospectively compared structural MRI findings and functional VOG measures of 63 MS patients to assess their diagnostic agreement for INO. MRI detected 12 true-positive and 92 true-negative MLF lesions for INO compared to VOG (12 true-positive and 38 true-negative patients) but identified one-third of the MLF lesions on the wrong side. MRI ratings were specific (92.0%) to detect MLF lesions but not sensitive (46.2%) for diagnosing INO (86.4% and 63.2% by patient). Accordingly, MRI has a high positive likelihood ratio of 5.77 but a modest negative likelihood ratio of 0.59 for the probability of INO (4.63 and 0.43) with an accuracy of 82.5% (79.4%). MRI assessments are highly specific but not sensitive for detecting INO compared to VOG. While MRI identifies MLF lesions in INO, VOG quantifies the deficit. As a simple, quick, and non-invasive test for diagnosing and tracking functional INO deficits, it will hopefully find its place in the diagnostic and therapeutic pathways of MS.

Sections du résumé

BACKGROUND BACKGROUND
Video-oculography (VOG) is used to quantify functional deficits in internuclear ophthalmoplegia (INO), whereas MRI can detect the corresponding structural lesions in the medial longitudinal fasciculus (MLF). This study investigates the diagnostic agreement of MRI compared to VOG measurements.
METHODS METHODS
We prospectively compared structural MRI findings and functional VOG measures of 63 MS patients to assess their diagnostic agreement for INO.
RESULTS RESULTS
MRI detected 12 true-positive and 92 true-negative MLF lesions for INO compared to VOG (12 true-positive and 38 true-negative patients) but identified one-third of the MLF lesions on the wrong side. MRI ratings were specific (92.0%) to detect MLF lesions but not sensitive (46.2%) for diagnosing INO (86.4% and 63.2% by patient). Accordingly, MRI has a high positive likelihood ratio of 5.77 but a modest negative likelihood ratio of 0.59 for the probability of INO (4.63 and 0.43) with an accuracy of 82.5% (79.4%).
CONCLUSION CONCLUSIONS
MRI assessments are highly specific but not sensitive for detecting INO compared to VOG. While MRI identifies MLF lesions in INO, VOG quantifies the deficit. As a simple, quick, and non-invasive test for diagnosing and tracking functional INO deficits, it will hopefully find its place in the diagnostic and therapeutic pathways of MS.

Identifiants

pubmed: 36315254
doi: 10.1007/s00415-022-11428-w
pii: 10.1007/s00415-022-11428-w
pmc: PMC9886641
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

917-924

Subventions

Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
ID : 320030_166346

Informations de copyright

© 2022. The Author(s).

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Auteurs

Rawan Omary (R)

Department of Ophthalmology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 24, 8091, Zurich, Switzerland.

Christopher J Bockisch (CJ)

Department of Ophthalmology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 24, 8091, Zurich, Switzerland.
Department of Neurology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland.
Department of Otorhinolaryngology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 24, 8091, Zurich, Switzerland.

Anthony De Vere-Tyndall (A)

Department of Neuroradiology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 24, 8091, Zurich, Switzerland.

Shila Pazahr (S)

Department of Neuroradiology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 24, 8091, Zurich, Switzerland.

Krisztina Baráth (K)

Radiologie und Neuroradiologie am Glattzentrum, Industriestrasse 63, 8304, Wallisellen, Switzerland.

Konrad P Weber (KP)

Department of Ophthalmology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 24, 8091, Zurich, Switzerland. konrad.weber@usz.ch.
Department of Neurology, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland. konrad.weber@usz.ch.

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