Tracking Eye Movements for Diagnosis in Myasthenia Gravis: A Comprehensive Review

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Title Tracking Eye Movements for Diagnosis in Myasthenia Gravis: A Comprehensive Review
Creator Minh N. L. Nguyen; Anneke van der Walt; Joanne Fielding; Meaghan Clough; Owen B. White
Affiliation Department of Neurosciences (MNLN, AvdW, JF, MC, OBW), Monash University, Melbourne, Australia; and Departments of Neurology (MNLN, AvdW, OBW) and Neuro-Ophthalmology (MNLN, AvdW, OBW), Alfred Health, Melbourne, Australia
Abstract Around 60%--75% of myasthenia gravis (MG) patients initially present with nonspecific ocular symptoms. Failed recognition of these symptoms may delay the diagnosis of MG up to 5 years or more, leading to a reduced likelihood of remission and increased morbidity. Current diagnostic tests are either poorly sensitive for patients presenting with ocular symptoms alone or are time consuming, invasive, require a high level of technical expertise, and generally are universally difficult to obtain. This review will explore quantitative eye and pupil tracking as a potential noninvasive, time-effective, and less technically demanding alternative to current diagnostic tests of MG.
Subject Humans; Myasthenia Gravis* / Diagnosis; Nystagmus, Optokinetic; Nystagmus, Pathologic* / Diagnosis; Oculomotor Muscles; Saccades
OCR Text Show
Date 2022-12
Date Digital 2022-12
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Language eng
Format application/pdf
Type Text
Publication Type Journal Article
Source Journal of Neuro-Ophthalmology, December 2022, Volume 42, Issue 4
Publisher Lippincott, Williams & Wilkins
Holding Institution Spencer S. Eccles Health Sciences Library, University of Utah, 10 N 1900 E SLC, UT 84112-5890
Rights Management © North American Neuro-Ophthalmology Society
ARK ark:/87278/s6s2b875
Setname ehsl_novel_jno
ID 2392996
Reference URL https://collections.lib.utah.edu/ark:/87278/s6s2b875
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