Is Video-Oculography a Predictive Test for Myasthenia Gravis with Ocular Symptoms?

• Published in: Neurology India 2022-01, Vol.70 (1), p.80-86
• Main Authors: Sirin, Tuba, Karaaslan, Zerrin, Arkali, Burcu, Bekdik, Pınar, Akinci, Tuba, Candan, Fatma, Akarsu, Emel, Baslo, M, Orhan, Elif, Oge, A
• Format: Article
• Language: English
• Subjects: Diagnosis; Electronic cameras; Eye; Eye movements; Medical examination; Movements; Myasthenia gravis; Ocular manifestations of general diseases
• ISSN: 0028-3886; 1998-4022
• DOI: 10.4103/0028-3886.336330

Background and Objective: The aim of this study was to evaluate the contribution of extraocular muscle function testing with video-oculography (VOG), which is a noninvasive and easily applicable method of recording eye movement with digital cameras, to the diagnosis of myasthenia gravis (MG) in patients without any clinical eye movement abnormalities. Methods and Materials: The study included 18 patients prediagnosed with ocular MG: MG Group (N = 7) with abnormal, and non-MG Group (N = 11) with normal single-fiber electromyography. Control group included 50 healthy volunteers. Ocular movements were recorded with the EyeSeeCam VOG device. Results: The inward latency of the 10° horizontal saccade and the downward latency of the 10° vertical saccade were significantly delayed; and the downward amplitude of the 10° vertical saccade was significantly lower in the MG group. Receiver operating characteristic curve analyses showed high specificity values for the discrimination of MG patients. Conclusions: This study supports the usefulness of the VOG device in revealing subclinical extraocular muscle involvement in MG.