Journal of Ophthalmology
Volume 2015 (2015), Article ID 832784, 6 pages
http://dx.doi.org/10.1155/2015/832784

Research Article

Evaluation of Retinal Nerve Fiber Layer and Ganglion Cell Complex in Patients with Optic Neuritis or Neuromyelitis Optica Spectrum Disorders Using Optical Coherence Tomography in a Chinese Cohort

Guohong Tian,¹ Zhenxin Li,² Guixian Zhao,² Chaoyi Feng,¹ Mengwei Li,¹ Yongheng Huang,¹ and Xinghuai Sun¹

¹Department of Ophthalmology, Eye, Ear, Nose, and Throat Hospital, Fudan University, Shanghai 200031, China
²Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China

Received 20 June 2015; Revised 28 September 2015; Accepted 1 October 2015

Academic Editor: Jun Zhang

Copyright © 2015 Guohong Tian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

We evaluate a cohort of optic neuritis and neuromyelitis optica (NMO) spectrum disorders patients in a territory hospital in China. The peripapillary retinal nerve fiber layer (RNFL) and macular ganglion cell complex (GCC) were measured using spectral-domain OCT after 6 months of acute onset. The results showed that both the peripapillary RNFL and macular GCC were significantly thinner in all optic neuritis subtypes compared to controls. In addition, the recurrent optic neuritis and NMO groups showed more severe damage on the RNFL and GCC pattern.

1. Introduction

Acute optic neuritis may be the first manifestation of both multiple sclerosis (MS) and neuromyelitis optica (NMO), or some unknown etiology of disorders [1, 2]. In Chinese, the demographic and clinical features of optic neuritis spectrum disorder are less well-defined than that in Caucasus [3–5].

During the past few years, numerous studies showed that peripapillary RNFL and macular thickness analysis may be used to detect axonal loss in optic neuritis, neuromyelitis optica, and other forms of chronic relapsing optic neuritis [6–9]. In addition, it has been suggested that OCT abnormalities can help differentiate MS from NMO on the severity of axonal loss [10–14].

Due to the ethnic differences, optic neuritis in China shows more atypical features than those in western countries and the prognosis is not clearly described. The propose of this study was to evaluate the thickness of the RNFL and macular GCC using SD-OCT in different forms of optic neuritis in a cohort of Chinese patients and compare the pattern of damage in MS-ON, NMO-ON, and R-ON group.

2. Materials and Methods

2.1. Patients

The current study was a cross-sectional study. Patients who presented with acute optic neuritis in Neuroophthalmology Division in Eye Ear Nose and Throat hospital, Fudan University, Shanghai, between May 2013 and January 2014, were recruited. Paper consent forms were obtained for participation through a study protocol that was approved by the hospital institutional review board. All patients had their diagnosis confirmed by referred neurologists and neuroophthalmologists. After thorough ancillary tests and at least one-year of follow-up, patients were divided into 3 groups for evaluating the involved eye: MS-ON, R-ON, and NMO-ON.

MS-ON group patients included typical acute demyelinating optic neuritis with brain lesions fulfilling the revised McDonald criteria or clinical isolate syndrome (CIS) [15, 16]. Recurrent isolated optic neuritis (R-ON) was defined as unilateral or bilateral recurrence affecting optic nerves in patients whose clinical evidence showed no other brain lesion and seronegative AQP4-Ab. A diagnosis of NMO-ON was given to patients who met established diagnostic criteria for NMO or NMO spectrum disorders (NMO-SD) published by Wingerchuk et al. [17]. The new onset eyes in three groups were included for OCT evaluating. As for acute bilateral involved patients, only one affected eye was randomly chosen for OCT evaluation. As for R-ON patients, the new attack eye was evaluated. All enrolled patients underwent the routine blood test including the infectious panel, the rheumatology panels. All patients underwent serum AQP4 antibody test in neurobiology laboratory using the ELISA methods (kit from ElisaRSR AQP4-Ab, RSR limited, UK). Neuroimaging was required to confirm the acute attack of the optic neuritis, evaluate brain demyelinating, and exclude the compressive optic neuropathy and anterior ischemic optic neuropathy.

Exclusion criteria included patients with pathologic myopia with spherical equivalent of the refractive error >6.0 diopters, a previous history of ocular disease (including macular degeneration, diabetic retinopathy, uveitis, and glaucoma), and neurodegenerative conditions that could impact OCT testing results (Parkinson’s disease, Alzheimer’s disease), and subjects with poor vision having difficulty maintaining fixation were excluded from analyses.

The group of control was recruited from volunteers of hospital staffs and patient’s companions at the time duration of the follow-up. Inclusion criteria included best-corrected visual acuity of at least 20/20, spherical equivalent of the refractive error <6.0 diopters (highly myopic), without presence of any ophthalmic or neurological diseases known to affect RNFL thickness. One eye was randomly chosen for evaluation.

2.2. Optical Coherence Tomography

Spectral-domain optical coherence tomography (SD-OCT) was performed using 3D Disc, ONH, GCC protocols provided by the RTVue-100 4.0.7.5 version (Optovue Inc, Fremont, CA). An internal fixation target was used to improve reproducibility. Scan was accepted only if the images with a signal strength index were greater than 35. The peripapillary RNFL thickness was measured automatically using a RNFL 3.45 scan mode, where 4 circular scans (1024 A-scans/scan) acquired 3.45 mm from the center of the optic disc. The RNFL was divided into temporal (316°–45°), superior (46°–135°), nasal (136°–225°), and inferior (226°–315°) quadrants. A RNFL progression analysis is also available for follow-up.

The GCC scan technique provides inner retinal thickness values which consist of ganglion cell layer (GCL) and inner plexiform layer (IPL). Scan mode for GCC analysis, which acquires 14 928A scans over a 7 mm square area in 0.58 seconds with 15 vertical scans collected at 0.5-mm intervals. The center of the scan was shifted 1.0 mm temporally to improve sampling of the temporal periphery. The GCC within the central 6 mm diameter area of the macular was calculated. All the data were measured and collected in acute optic neuritis patients 6 month after attack.

2.3. Statistical Analysis

Demographic variants were described and compared by ANOVA test (numeration variables) if the variance was homogeneity or chi-square test (categorical variables). The peripapillary RNFL data measured according to 4 quadrants was analyzed using repeat measurement analysis of variance due to the correlation intereye within patient. The difference between each group was statistic and compared with controls. GCC values were analyzed by independent-samples test between groups. A value of less than 0.05 was considered statistically significant. All analyses were conducted using IBM SPSS statistics for windows, Version 19.0 (IBM Corp, Chicago, USA).

3. Results

3.1. Demographics

A total of 118 patients, including MS-ON (), R-ON (), NMO-ON (), and 68 healthy controls were evaluated. The demographic and clinical characteristics are summarized in Table 1. Among the MS-ON group, 6 patients were diagnosed with clinical definite MS with optic neuritis; 4 patients had presented with CIS with brain or brainstem demyelinated lesion and subsequently got optic neuritis; the other 52 patients presented with isolated acute optic neuritis fulfilling the idiopathic demyelinating etiology after thorough ancillary work-up. Among the 19 R-ON patients, the recurrent times differ from 8 to 3. Among the 37 NMO-ON patients, 5 had previous myelitis and all patients showed a seropositive for AQP4-Ab.

Table 1: Demographics and clinical characteristics for MS-ON, R-ON, and NMO-ON group and control.

Group
Patients
()
Age (year)
(mean ± SD)
Course (month)
(mean ± SD)
Bilateral%
Female%

MS-ON
62

33.3%
58.1%

R-ON
19

100%
68.4%

NMO-ON
37

34.7%
83.8%

Control
68

NA
NA
64.7%

P value

NA: not applicable; a: the statistical difference between NMO-ON and other groups; b: the statistical difference between MS-ON and other ON subtypes; NMO-ON and other groups; c: the statistical difference between R-ON group and other ON subtypes; d: the statistical difference between ON subtypes and control.

The mean age in NMO-ON group was significantly older than other groups (), whereas there was no difference in age between MS-ON, R-ON, and control. The mean disease duration was significantly longer in R-ON and NMO-ON groups compared to MS-ON (). R-ON group showed high prevalence of bilateral involvement than MS-ON and NMO-ON group (). There was no statistic difference in female prevalence in all groups.

3.2. RNFL Measurement

Because age is known to influence retinal thickness parameters, first of all, covariance was analyzed using a linear regression model and the results showed there was no significant relation between age and RNFL thickness in our groups of subjects. Peripapillary RNFL thickness measured in 3 optic neuropathy groups was significantly thinning compared to healthy controls (Table 2). After repeat measurement of variance of 4 quadrants in each group, the mean difference showed an average of RNFL loss in MS-ON, R-ON, and NMO-ON groups of 32.8 μm, 46.9 μm, and 43.8 μm, respectively, compared to healthy control (Table 3). Furthermore, the R-ON and NMO-ON patients showed significant decreased RNFL in eyes in all quadrants compared with MS-ON, whereas there was no significant difference between R-ON and NMO-ON group.

Table 2: Peripapillary RNFL thicknesses (μm) for eyes of patients in each group.

RNFL
MS-ON
R-ON
NMO-ON
Control

Average

Temporal

Superior

Nasal

Inferior

Table 3: Repeated measures ANOVA of multiple comparisons of each group.

() group
() group
Mean difference ()
Std. error
Sig.
95% confidence interval

Lower bound
Upper bound

MS-ON
R-ON
14.087
3.558
.000
7.066
21.108

NMO-ON
10.998
3.336
.001
4.415
17.581

Control
−32.795
2.312
.000

R-ON
NMO-ON
−3.089
4.278
.471

Control
−46.882
3.547
.000

NMO-ON
Control
−43.793
3.309
.000

The mean difference is significant at the 0.05 level.

3.3. Macular GCC Measurement

For the macular GCC, the tendency was the same as the peripapillary RNFL pattern, which showed significantly reduced in 3 optic neuritis groups compared to control (Figure 1). An average GCC thinning in MS-ON, R-ON, and NMO-ON groups was of 24.2 μm, 28.5 μm, and 28.5 μm, respectively, compared to healthy control. There were no statistic differences for the GCC between R-ON and NMO-ON.

Figure 1: The boxplot analysis representing the macular GCC thickness in MS-ON, R-ON, NMO-ON, and control group. Mean values and 5% and 95% percentiles are shown. The difference between the 4 groups was statistically significant (), whereas there was no significant difference between R-ON and NMO-ON group ().

4. Discussion

Optic neuritis is one of the common optic neuropathies, which lead to visual loss in young Chinese and the underline etiologies have not been full clarified [1]. Our cohort study composed of a group of typical MS related optic neuritis patients, as well as atypical forms like R-ON and NMO-ON. Most of these patients presented as first attack which can be a manifestation of MS, NMO, or other unknown inflammatory disorders. Although the clinical characteristics and laboratory tests can help differentiating some of the etiology, the board spectrum of optic neuritis made it difficult to a definite diagnosis in a short term after one optic neuritis episode.

SD-OCT is a very useful and objective method to provide data on RNFL and macular GCC thickness and volumes. Also the eye tracking systems permit perfect repositioning in longitudinal studies for investigators to capture subtle changes on the order of a few micrometers.

The up to date cross-sectional studies and longitudinal investigations on OCT showed a significant alteration pattern in NMOSD patients with optic neuritis compared to MS-ON and healthy controls [18, 19]. A meta-analysis showed a loss of approximately 20 m in the affected eye in relapsing-remitting MS compared to healthy controls [20]. Bichuetti et al. [12] research also showed that, in patients with NMO and chronic relapsing inflammatory optic neuritis, the RNFL tend to have significantly lower thickness than patients with MS-ON. Our findings also demonstrate the same OCT pattern that the peripapillary RNFL and macular GCC thickness decreased significantly 6 months after once attack of optic neuritis compared to healthy controls. Furthermore, the R-ON and NMO-ON groups showed more severe damage compared to patients with MS (Figure 2). Approximately 40 μm thinning of RNFL was found in NMO-ON and R-ON eyes compared to controls (approximately 30 μm thinning in MS-ON). The temporal quadrant damage tendency in MS-ON was not shown in our cohort according to Naismith et al. study [11].

Figure 2: The fundus photograph (a) together with the corresponding macular GCC (b) and RNFL (c) measurements in MS-ON (A), R-ON (B), and NMO-ON (C) groups are showed, respectively.

The GCC measured in our study by RTVue-100 protocol provided a value of combined macular ganglion cell layer and inner plexiform layer, which can help estimate the retrograde of optic nerve after damage. Six months after attack, the GCC showed an nearly 30 μm thinning in NMO-ON and R-ON groups, as well as approximately 20 μm in MS-ON compared to controls. The profound loss of GCC, which is closely associated with visual disability in MS [21], can also help in differentiating NMO or R-ON from MS-ON in early stage, where the true peripapillary RNFL will not be available due to the swell of optic disc.

The profound loss of peripapillary RNFL and macular GCC in R-ON group, whose pattern is similar to NMO-ON, to some extent, indicate that they share the some underline etiology. In addition, the OCT technique makes it possible to measure the single layer of ganglion cell around macular, which will give accurate thickness of the neurons. Further prospective longitudinal investigations will be needed to illustrate the change in OCT pattern as a structure marker for axonal degeneration and neuronal loss.

Conflict of Interests

The authors have no proprietary or commercial interest in any of the materials discussed in this paper.

Acknowledgment

The authors thank Ms. Heng Fan (Department of Biostatistics, School of Public Health, Fudan University) for statistical analysis consultation.

References

A. T. Toosy, D. F. Mason, and D. H. Miller, “Optic neuritis,” The Lancet Neurology, vol. 13, no. 1, pp. 83–99, 2014.

F. A. Warren, “Atypical optic neuritis,” Journal of Neuro-Ophthalmology, vol. 34, no. 4, pp. e12–e13, 2014.

J. T. Peng, H. R. Cong, R. Yan et al., “Neurological outcome and predictive factors of idiopathic optic neuritis in China,” Journal of the Neurological Sciences, vol. 349, no. 1-2, pp. 94–98, 2015.

C. Lai, G. Tian, W. Liu, W. Wei, T. Takahashi, and X. Zhang, “Clinical characteristics, therapeutic outcomes of isolated atypical optic neuritis in China,” Journal of the Neurological Sciences, vol. 305, no. 1-2, pp. 38–40, 2011.

A. C. O. Cheng, N. C. Y. Chan, and C. K. M. Chan, “Acute and subacute inflammation of the optic nerve and its sheath: clinical features in Chinese patients,” Hong Kong Medical Journal, vol. 18, no. 2, pp. 115–122, 2012.

S. B. Syc, S. Saidha, S. D. Newsome et al., “Optical coherence tomography segmentation reveals ganglion cell layer pathology after optic neuritis,” Brain, vol. 135, no. 2, pp. 521–533, 2012.

D. B. Fernandes, A. S. Raza, R. G. Nogueira et al., “Evaluation of inner retinal layers in patients with multiple sclerosis or neuromyelitis optica using optical coherence tomography,” Ophthalmology, vol. 120, no. 2, pp. 387–394, 2013.

M. L. R. Monteiro, D. B. Fernandes, S. L. Apóstolos-Pereira, and D. Callegaro, “Quantification of retinal neural loss in patients with neuromyelitis optica and multiple sclerosis with or without optic neuritis using fourier-domain optical coherence tomography,” Investigative Ophthalmology and Visual Science, vol. 53, no. 7, pp. 3959–3966, 2012.

H. Merle, S. Olindo, A. Donnio, R. Richer, D. Smadja, and P. Cabre, “Retinal peripapillary nerve fiber layer thickness in neuromyelitis optica,” Investigative Ophthalmology and Visual Science, vol. 49, no. 10, pp. 4412–4417, 2008.

J. N. Ratchford, M. E. Quigg, A. Conger et al., “Optical coherence tomography helps differentiate neuromyelitis optica and MS optic neuropathies,” Neurology, vol. 73, no. 4, pp. 302–308, 2009.

R. T. Naismith, N. T. Tutlam, J. Xu et al., “Optical coherence tomography differs in neuromyelitis optica compared with multiple sclerosis,” Neurology, vol. 72, no. 12, pp. 1077–1082, 2009.

D. B. Bichuetti, A. S. de Camargo, A. B. Falcão, F. F. Gonçalves, I. M. Tavares, and E. M. L. de Oliveira, “The retinal nerve fiber layer of patients with neuromyelitis optica and chronic relapsing optic neuritis is more severely damaged than patients with multiple sclerosis,” Journal of Neuro-Ophthalmology, vol. 33, no. 3, pp. 220–224, 2013.

E. Schneider, H. Zimmermann, T. Oberwahrenbrock et al., “Optical coherence tomography reveals distinct patterns of retinal damage in neuromyelitis optica and multiple sclerosis,” PLoS ONE, vol. 8, no. 6, Article ID e66151, 2013.

K.-A. Park, J. Kim, and S. Y. Oh, “Analysis of spectral domain optical coherence tomography measurements in optic neuritis: Differences in neuromyelitis optica, multiple sclerosis, isolated optic neuritis and normal healthy controls,” Acta Ophthalmologica, vol. 92, no. 1, pp. e57–e65, 2014.

C. H. Polman, S. C. Reingold, B. Banwell et al., “Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria,” Annals of Neurology, vol. 69, no. 2, pp. 292–302, 2011.

D. H. Miller, D. T. Chard, and O. Ciccarelli, “Clinically isolated syndromes,” The Lancet Neurology, vol. 11, no. 2, pp. 157–169, 2012.

D. M. Wingerchuk, V. A. Lennon, C. F. Lucchinetti, S. J. Pittock, and B. G. Weinshenker, “The spectrum of neuromyelitis optica,” The Lancet Neurology, vol. 6, no. 9, pp. 805–815, 2007.

L. J. Balk and A. Petzold, “Current and future potential of retinal optical coherence tomography in multiple sclerosis with and without optic neuritis,” Neurodegenerative Disease Management, vol. 4, no. 2, pp. 165–176, 2014.

J. Bennett, J. de Seze, M. Lana-Peixoto et al., “Neuromyelitis optica and multiple sclerosis: seeing differences through optical coherence tomography,” Multiple Sclerosis Journal, vol. 21, no. 6, pp. 678–688, 2015.

A. Petzold, J. F. de Boer, S. Schippling et al., “Optical coherence tomography in multiple sclerosis: a systematic review and meta-analysis,” The Lancet Neurology, vol. 9, no. 9, pp. 921–932, 2010.

S. D. Walter, H. Ishikawa, K. M. Galetta et al., “Ganglion cell loss in relation to visual disability in multiple sclerosis,” Ophthalmology, vol. 119, no. 6, pp. 1250–1257, 2012.