Comparison of multifocal visual evoked potential, static automated perimetry, and optical coherence tomography findings for assessing visual pathways in patients with pituitary adenomas

Pituitary ◽  
2014 ◽  
Vol 18 (5) ◽  
pp. 598-603 ◽  
Author(s):  
Nidan Qiao ◽  
Yichao Zhang ◽  
Zhao Ye ◽  
Ming Shen ◽  
Xuefei Shou ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Pituitary Adenomas ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Visual Pathways ◽  
Automated Perimetry ◽  
Optical Coherence ◽  
Multifocal Visual Evoked Potential ◽  
Visual Evoked

scholarly journals Visual evoked potential and optical coherence tomography in pseudotumor cerebri

Research ◽  
2015 ◽  
Vol 2 ◽  
Author(s):  
Mualla Hamurcu ◽  
MSinan Sarıcaoğlu ◽  
Semra Koca ◽  
Selcan Ekicier ◽  
Ahmet Karakurt
Keyword(s):  
Optical Coherence Tomography ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Pseudotumor Cerebri ◽  
Optical Coherence ◽  
Visual Evoked

scholarly journals The contribution of multifocal visual evoked potentials in patients with optic neuritis and multiple sclerosis: a review

2020 ◽  
Author(s):  
Paraskevas Zafeiropoulos ◽  
Andreas Katsanos ◽  
George Kitsos ◽  
Maria Stefaniotou ◽  
Ioannis Asproudis
Keyword(s):  
Multiple Sclerosis ◽  
Optic Neuritis ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Multifocal Visual Evoked Potential ◽  
Published Evidence ◽  
Multifocal Vep ◽  
Visual Evoked

Abstract Purpose To review the evidence on the usefulness of the multifocal visual evoked potential (mfVEP) test in patients with optic neuritis (ON) and/or multiple sclerosis (MS). Methods We critically review key published evidence on the use of mfVEP in ON/MS patients and its association with other functional and structural tests. Results Multifocal VEP tests are useful in detecting abnormality in patients with ON/MS and monitor the progression of lesions (remyelination, atrophy). In addition, mfVEP has good correlation with conventional visual evoked potential (VEP), standard automated perimetry, optical coherence tomography and magnetic resonance imaging. In patients with ON, mfVEP might be useful in predicting the risk of conversion to MS.

Role of visual evoked potentials and optical coherence tomography in the screening for optic pathway gliomas in patients with neurofibromatosis type I

2020 ◽  
pp. 112067212090698
Author(s):  
Aldo Vagge ◽  
Paola Camicione ◽  
Marco Pellegrini ◽  
Giulia Gatti ◽  
Paolo Capris ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Area Under The Curve ◽  
Neurofibromatosis Type ◽  
Optic Pathway Glioma ◽  
Optic Pathway ◽  
Optical Coherence ◽  
Fiber Layer ◽  
Visual Evoked

Purpose: The purpose of the present study was to compare visual function assessment, visual evoked potential, and optical coherence tomography with measurement of retinal nerve fiber layer thickness for the diagnosis of optic pathway glioma in children with neurofibromatosis type 1. Methods: This retrospective observational study included patients with neurofibromatosis type 1 who underwent brain magnetic resonance imaging scan, visual evoked potential study, and peripapillary retinal nerve fiber layer evaluation by optical coherence tomography. Patients were tested with pattern-reversal visual evoked potential and with flash visual evoked potential in case of poor cooperation. Optical coherence tomography was performed with HRA Spectralis (Heidelberg Engineering, Heidelberg, Germany). The area under the curve of receiver operating characteristic curves was used to evaluate the accuracy of each parameter for diagnosing optic pathway glioma. Results: In all, 110 patients with neurofibromatosis type 1 were included in the study. Fifty of them had an optic pathway glioma diagnosed with magnetic resonance imaging, while 60 did not. Global retinal nerve fiber layer thickness demonstrated the highest diagnostic power for discriminating patients with and without optic pathway glioma (area under the curve = 0.758, sensitivity = 65.3%, specificity = 83.3%), followed visual acuity (area under the curve = 0.723, sensitivity = 51.1%, specificity = 91.7%) and P100 of visual evoked potential (area under the curve = 0.712, sensitivity = 69.6%, specificity = 63.8%). Conclusion: The results of the present study showed that the measurement of retinal nerve fiber layer thickness was the most efficient test for discriminating patients with and without optic pathway glioma. Brain magnetic resonance imaging remains the gold standard to confirm the diagnosis of optic pathway glioma. Longitudinal studies are required to define if the early detection of tumors with optical coherence tomography could prevent vision loss and morbidity.

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