Literature DB >> 21131852

Comparison of retinal nerve fiber layer and central macular thickness measurements among five different optical coherence tomography instruments in patients with multiple sclerosis and optic neuritis.

George M Watson1, John L Keltner, Eric K Chin, Danielle Harvey, Audrey Nguyen, Susanna S Park.   

Abstract

BACKGROUND: To compare the mean central macular thickness (CMT) and the mean average optic nerve retinal nerve fiber layer (RNFL) thickness in the eyes of patients with a history of optic neuritis and/or multiple sclerosis (MS) using 5 commercially available optical coherence tomography (OCT) instruments.
METHODS: Cross-sectional study including 46 patients (92 eyes) with a history of optic neuritis and/or MS. Both eyes were imaged on the same day with 5 OCT instruments: 1 time-domain OCT (Stratus) and 4 different Fourier-domain (spectral-domain) OCT (3D OCT-1000, Cirrus, RTVue-100, and Spectralis).
RESULTS: Twenty-five patients (50 eyes) were included in the final analysis after excluding patients with diabetes, glaucoma, ocular hypertension, or retinal pathology and inadequate scan quality. Randomized block analysis of variance revealed statistically significant differences across instruments (P < 0.001) for both eyes for mean CMT and mean average optic nerve RNFL. When testing for significant differences in measurements from instrument to instrument, some difference was noted between the right and left eyes.
CONCLUSIONS: Statistically significant differences exist among commercially available OCT instruments in measuring mean CMT and mean average RNFL thickness in patients with optic neuritis and/or MS. These findings likely result from the differences in data acquisition and segmentation algorithm software among OCT instruments. Awareness of these variations among OCT instruments will be important in using these instruments for clinical trials and management of patients with optic neuritis and/or MS.

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Year:  2011        PMID: 21131852     DOI: 10.1097/WNO.0b013e3181facbbd

Source DB:  PubMed          Journal:  J Neuroophthalmol        ISSN: 1070-8022            Impact factor:   3.042


  18 in total

1.  Better performance of RTVue than Cirrus spectral-domain optical coherence tomography in detecting band atrophy of the optic nerve.

Authors:  Makoto Nakamura; Kumiko Ishikawa-Tabuchi; Akiyasu Kanamori; Yuko Yamada; Akira Negi
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2012-07-01       Impact factor: 3.117

2.  Anatomical and functional retinal changes in multiple sclerosis.

Authors:  G Cennamo; M R Romano; E C Vecchio; C Minervino; C Della Guardia; N Velotti; A Carotenuto; S Montella; G Orefice; G Cennamo
Journal:  Eye (Lond)       Date:  2015-12-18       Impact factor: 3.775

3.  Exploring the role of macular thickness as a potential early biomarker of neurodegeneration in acute schizophrenia.

Authors:  Sukanto Sarkar; A R Rajalakshmi; S Avudaiappan; S Eswaran
Journal:  Int Ophthalmol       Date:  2021-04-15       Impact factor: 2.031

4.  Ganglion cell loss in relation to visual disability in multiple sclerosis.

Authors:  Scott D Walter; Hiroshi Ishikawa; Kristin M Galetta; Reiko E Sakai; Daniel J Feller; Sam B Henderson; James A Wilson; Maureen G Maguire; Steven L Galetta; Elliot Frohman; Peter A Calabresi; Joel S Schuman; Laura J Balcer
Journal:  Ophthalmology       Date:  2012-02-23       Impact factor: 12.079

5.  Baseline retinal nerve fiber layer thickness and macular volume quantified by OCT in the North American phase 3 fingolimod trial for relapsing-remitting multiple sclerosis.

Authors:  Kimberly M Winges; John S Werner; Danielle J Harvey; Kimberly E Cello; Mary K Durbin; Laura J Balcer; Peter A Calabresi; John L Keltner
Journal:  J Neuroophthalmol       Date:  2013-12       Impact factor: 3.042

6.  Subfoveal choroidal thickness and volume in severe internal carotid artery stenosis patients.

Authors:  Hui Wang; Yan-Ling Wang; Hong-Yang Li
Journal:  Int J Ophthalmol       Date:  2017-12-18       Impact factor: 1.779

7.  Retinal hyperaemia-related blood vessel artifacts are relevant to automated OCT layer segmentation.

Authors:  L J Balk; M Mayer; B M J Uitdehaag; A Petzold
Journal:  J Neurol       Date:  2014-01-05       Impact factor: 4.849

8.  The Topographical Relationship between Visual Field Loss and Peripapillary Retinal Nerve Fibre Layer Thinning Arising from Long-Term Exposure to Vigabatrin.

Authors:  John M Wild; Saleh Aljarudi; Philip E M Smith; Carlo Knupp
Journal:  CNS Drugs       Date:  2019-02       Impact factor: 5.749

Review 9.  Vision in multiple sclerosis: the story, structure-function correlations, and models for neuroprotection.

Authors:  Reiko E Sakai; Daniel J Feller; Kristin M Galetta; Steven L Galetta; Laura J Balcer
Journal:  J Neuroophthalmol       Date:  2011-12       Impact factor: 3.042

Review 10.  Can Optical Coherence Tomography Be Used to Guide Treatment Decisions in Adult or Pediatric Multiple Sclerosis?

Authors:  Jeffrey Lambe; Olwen C Murphy; Shiv Saidha
Journal:  Curr Treat Options Neurol       Date:  2018-03-21       Impact factor: 3.598

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