Investigative Ophthalmology & Visual Science Cover Image for Volume 53, Issue 13
December 2012
Volume 53, Issue 13
Free
Eye Movements, Strabismus, Amblyopia and Neuro-ophthalmology  |   December 2012
Progressive Degeneration of the Retinal Nerve Fiber Layer in Patients with Multiple Sclerosis
Author Affiliations & Notes
  • Raquel Herrero
    From the Ophthalmology Department and
    Aragones Institute of Health Science, Zaragoza, Spain.
  • Elena Garcia-Martin
    From the Ophthalmology Department and
    Aragones Institute of Health Science, Zaragoza, Spain.
  • Carmen Almarcegui
    Neurology Deparment, Miguel Servet University Hospital, Zaragoza, Spain; and the
    Aragones Institute of Health Science, Zaragoza, Spain.
  • Jose R. Ara
    Neurology Deparment, Miguel Servet University Hospital, Zaragoza, Spain; and the
    Aragones Institute of Health Science, Zaragoza, Spain.
  • Diego Rodriguez-Mena
    Neurology Deparment, Miguel Servet University Hospital, Zaragoza, Spain; and the
    Aragones Institute of Health Science, Zaragoza, Spain.
  • Jesus Martin
    Neurology Deparment, Miguel Servet University Hospital, Zaragoza, Spain; and the
    Aragones Institute of Health Science, Zaragoza, Spain.
  • Sofia Otin
    From the Ophthalmology Department and
  • Maria Satue
    From the Ophthalmology Department and
    Aragones Institute of Health Science, Zaragoza, Spain.
  • Luis E. Pablo
    From the Ophthalmology Department and
    Aragones Institute of Health Science, Zaragoza, Spain.
  • Francisco J. Fernandez
    From the Ophthalmology Department and
    Aragones Institute of Health Science, Zaragoza, Spain.
  • Corresponding author: Raquel Herrero, C/Padre Arrupe, Consultas Externas de Oftalmología, 50009 Zaragoza, Spain; [email protected]
Investigative Ophthalmology & Visual Science December 2012, Vol.53, 8344-8349. doi:https://doi.org/10.1167/iovs.12-10362
  • Views
  • PDF
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Raquel Herrero, Elena Garcia-Martin, Carmen Almarcegui, Jose R. Ara, Diego Rodriguez-Mena, Jesus Martin, Sofia Otin, Maria Satue, Luis E. Pablo, Francisco J. Fernandez; Progressive Degeneration of the Retinal Nerve Fiber Layer in Patients with Multiple Sclerosis. Invest. Ophthalmol. Vis. Sci. 2012;53(13):8344-8349. https://doi.org/10.1167/iovs.12-10362.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose.: To quantify changes in the retinal nerve fiber layer (RNFL) of patients with multiple sclerosis (MS) over 3 years and to evaluate whether treatment protects against RNFL degeneration.

Methods.: Ninety-four MS patients and 50 healthy subjects were followed-up over 3 years. All subjects underwent a complete ophthalmic examination, which included assessment of visual acuity (Snellen chart), color vision (Ishihara pseudoisochromatic plates), visual field examination, optical coherence tomography (OCT), and visual evoked potentials (VEPs). All patients were reevaluated at 12, 24, and 36 months to quantify changes in the RNFL.

Results.: Changes were detected in RNFL thickness at the 36-month follow-up. Significant decreases (P < 0.05, t-test) were observed in the mean, superior, inferior, and temporal RNFL thicknesses, and macular volume provided by OCT, and in the P100 latency of VEP of the MS group, but only in the mean and inferior RNFL thicknesses of the healthy control group. Greater changes in the superior and inferior RNFL thicknesses during follow-up were detected in the MS group. Differences between treatments were not detected, but untreated patients had higher degeneration in the mean and superior RNFL thicknesses during the follow-up (P = 0.040 and P = 0.19, respectively).

Conclusions.: Progressive axonal loss can be detected in the optic nerve fiber layer of MS patients. Analysis of the RNFL by OCT can be useful for evaluating MS progression and efficacy of treatment as a neuroprotective factor against axonal degeneration.

Introduction
Multiple sclerosis (MS) is a neurodegenerative disease characterized by axonal injury in the central nervous system (CNS), leading to progressive neurologic deficits. Evidence indicates that axonal damage occurs already in the early stages of the disease, not related to inflammatory or autoimmune episodes against myelin, and axonal degeneration is directly related to permanent functional disability. 1,2 Axonal damage in patients with MS can be detected and quantified at the level of the retinal nerve fiber layer (RNFL) using ocular imaging technologies, such as optical coherence tomography (OCT). 38  
The retina is a part of the CNS that is easily accessible to clinical examination. The RNFL comprises mainly nonmyelinated axons of retinal ganglion cells, so RNFL thickness measurements provide a relatively direct assessment of the axons and axonal damage. 
Technologies for digital image analysis in ophthalmology, such as OCT, include the development of parameters to provide quantitative, objective, and reproducible RNFL measurements. Some studies have demonstrated RNFL loss in eyes of MS patients without optic neuritis antecedent. 37  
Numerous investigators have suggested the importance of examining RNFL thickness with OCT as a biologic marker of axonal damage in patients with MS, 914 and as a useful method for monitoring MS progression. 6,7 Some authors have even suggested that OCT could substitute for magnetic resonance imaging as a method for monitoring the disease. 8,14,15 Long-term follow-up studies are needed, however, to evaluate this hypothesis. 
Fourier-domain optical coherence tomography (FD-OCT) uses a spectrometer consisting of transmission grating and an air-spaced focusing lens. In FD-OCT, depth information is acquired by analysis of the interference patterns in a spectrum of mixed reflected lights. 16 To achieve ultrahigh resolution images, time-domain (TD) OCT requires a longer acquisition time, but FD-OCT obtains 2- to 3-mm axial resolution images without a remarkable increase in the acquisition time. 17  
The signal-to-noise ratio can be further reduced with the pulsed illumination that is used by FD-OCT instead of the continuous wave illumination used in TD-OCT. The pulsed illumination reduces the detrimental effects of sample motion during scanning, so fewer artifacts and clearer images are acquired. 18  
Some investigators have used high-definition OCT to evaluate MS patients in cross-sectional studies, 19 but very few longitudinal studies using FD-OCT 20,21 have been published. These studies did not incorporate an exhaustive neuro-ophthalmologic examination of changes in visual evoked potentials (VEPs) over time. The purpose of this study was to evaluate structural and functional changes of the RNFL and correlations between these RNFL changes and disease progression or severity over a period of 3 years. 
Methods
We performed a prospective longitudinal study with a duration of 3 years. In all, 188 eyes of 94 MS patients and 50 healthy subjects were evaluated at baseline, and at 12, 24, and 36 months. The study was approved by the hospital ethics committee and all patients signed an informed consent form detailing the purpose of this study and the tests included in the exploratory protocol, as well as the ability to stop participating in the study at any time they desired. 
The study inclusion criteria were: confirmed diagnosis of MS by a neurologist based on the Poser criteria, 22 visual acuity ≥ 0.1 with the Snellen scale, and applanation intraocular pressure < 20 mm Hg. Patients with active MS outbreaks (of any neurologic deficit, not only optic neuritis) in the 6 months preceding enrollment in the study or during follow-up were excluded from the study. The reason for the study was to evaluate axonal damage secondary to the progression of MS reflecting chronic MS neurodegeneration, and acute losses that appear in times of outbreaks were not included. Patients with refractive errors > 5 diopters (D) of equivalent spherical or 3 D of astigmatism were also excluded from the study. 
All subjects underwent a complete ophthalmic examination that included assessment of best-corrected visual acuity (BCVA; Snellen chart), color vision (Ishihara pseudoisochromatic plates), ocular motility, pupillary reflexes, anterior segment exam, applanation intraocular pressure (Goldmann), papillary morphology with fundoscopic exam, visual field examination, OCT, and VEP. Each eye was considered separately. All subjects were reevaluated at 12, 24, and 36 months to quantify the changes in the RNFL and assess correlations with other associated factors, such as functional disability progression measured using the EDSS (Expanded Disability Status Scale). 
The neurologic variables assessed were MS phenotype (relapsing–remitting, primary progressive, and secondary progressive), disease duration, EDSS, and EDSS Fvi (visual system subset of the EDSS). Age and sex were included as covariates in the analyses. Visual acuity was measured with Snellen charts, monocular, and with a viewing distance of 6 meters. Visual field examination was performed using a Humphrey field analyzer (Carl Zeiss Meditec, Dublin, CA) using the SITA Standard 30‐2 program and mean deviation was evaluated. The fundoscopy study was based on observation of the papilla morphology (normal, diffuse, or sectorial atrophy or edema) with a 78-D lens. Optical coherence tomography with a spectral-domain (SD) OCT system (Cirrus OCT 3000; Carl Zeiss Meditec) used the following protocols for retinal imaging: fast RNFL thickness (3.4-mm circular scans) and fast macula. Parameters evaluated were mean thickness, RNFL thicknesses of the four quadrants, and macular volume. VEP analysis was performed using commercial software that facilitates the acquisition and analysis of auditory, visual, and somatosensory evoked potentials (Neuronic Sense Witness System 4.0 device; IC Neuronic S.L.; Zaragoza, Spain). Silver chloride–plated disk electrodes were placed on the scalp at the occipital (Oz, active electrode) and frontal (Fz, reference electrode) areas. The frequency of the stimulation pattern was 2 Hz. Mean luminance was 93.5 candelas/m2, with a contrast of 99%. The latency and amplitude of the positive fundamental component (P100) were analyzed. 23  
All variables were registered in a database created with a commercial database application program (FileMaker Pro 8.5; FileMaker, Inc., Santa Clara, CA). Two statistical analyses were performed: first, an observational cross-sectional study using baseline measurements, and then a longitudinal study. In the cross-sectional analysis, the independent variables were MS phenotype and immunomodulatory therapy, and the dependent variables were the parameters provided by the different techniques included in the study protocol. Modifier variables were age, sex, and intraocular pressure. All subjects were revaluated after 12, 24, and 36 months from baseline, and the longitudinal analysis was performed. 
Statistical analysis was performed using commercial predictive analytics software (SPSS, version 19.0; SPSS, Inc., Chicago, IL). The normality of the sample distribution was confirmed using the Kolmogorov–Smirnov test. Values of P < 0.05 were considered statistically significant. Results of each variable in subsequent visits were compared for both groups (MS and healthy controls) by ANOVA, to detect differences in RNFL associated with disease progression. Pearson's correlation test was used to correlate changes in structural (OCT) and functional (visual field, BCVA, chromatic vision, and VEP) variables, and to correlate measurements registered during the study on the disability status of the MS patients (EDSS). Correlation analysis was used to determine the Pearson correlation coefficient (r) and the statistical significance of the association (P). The Pearson correlation coefficient (r) can range between +1 and −1: a value of 0 indicates that there is no association between the two variables. A value > 0 indicates a positive association, that is, as the value of one variable increases so does the value of the other variable. A value < 0 indicates a negative association, that is, as the value of one variable increases the value of the other variable decreases. 
Finally, patients were divided into two groups: patients with treatment for MS and patients without treatment. Patients treated with mitoxantrone were excluded to minimize bias. A statistical comparison between the groups was performed to analyze whether treatment is a protective factor against RNFL degeneration in patients with MS. 
Results
The MS group included 64 females and 30 males with a female/male ratio of 3:2. The control group included 17 females and 33 males (ratio of 3:2). Age and sex in the MS and control groups were not significantly different (P = 0.568 and 0.394, respectively). Eighty-six patients (92.6%) belonged to the relapsing–remitting MS group, 6 patients (6.4%) to the secondary progressive group, and 1 patient (1.1%) to the primary progressive group. Antecedents of diplopia were present in 56 patients (29.8%) and neuritis in 45 patients (23.9%). The mean EDSS score at baseline was 2.5 (range: 0–8). 
With respect to the percentage of patients assigned to each treatment group, the largest group comprised subjects who received no treatment (36%). Among treated patients, the largest group received beta interferon 1b (Betaferon; Bayer HealthCare, Leverkusen, Germany) (21.3%), followed by beta interferon 1a (Rebif; EMD Serono, Inc., Rockland, MA [16.0%] or Avonex; Biogen Idec International GmbH, Zug, Switzerland [12.8%]), glatiramer acetate (Copaxone; Teva Pharmaceutical Industries Ltd., Petach Tikva, Israel) (11.7%), and mitoxantrone (Mitoxantrona; Beijing Mesochem Technology Co., Ltd., Beijing, China) (2.0%). 
Results of functional and structural parameters evaluated and significant differences between the baseline and 3-year examinations are shown in Tables 1 and 2. In MS patients, we detected a significant loss in BCVA; mean, superior, inferior, temporal RNFL thicknesses, and macular volume obtained with OCT; and a significant delay in the P100 wave latency in VEP (Table 1 and Fig. 1A). In healthy subjects, we observed a significant loss only in the mean and inferior RNFL thicknesses (annual changes of −0.152 and −0.180 μm, respectively; P = 0.045 and 0.032; Table 2 and Fig. 1B). 
Figure 1
 
(A) Mean RNFL thickness measured by OCT in patients with multiple sclerosis at baseline examination and the revisions made in the first, second, and third years. Thickness of the RNFL is measured in micrometers (μm). (B) Mean RNFL thickness measured by OCT in healthy controls at baseline examination and the revisions made in the first, second, and third years. SUP, superior; INF, inferior; TEMP, temporal.
Figure 1
 
(A) Mean RNFL thickness measured by OCT in patients with multiple sclerosis at baseline examination and the revisions made in the first, second, and third years. Thickness of the RNFL is measured in micrometers (μm). (B) Mean RNFL thickness measured by OCT in healthy controls at baseline examination and the revisions made in the first, second, and third years. SUP, superior; INF, inferior; TEMP, temporal.
Table 1. 
 
Functional and Structural Measurements Obtained at Baseline and Annual Examinations in Patients with Multiple Sclerosis (at 1, 2, and 3 Years of Follow-Up)
Table 1. 
 
Functional and Structural Measurements Obtained at Baseline and Annual Examinations in Patients with Multiple Sclerosis (at 1, 2, and 3 Years of Follow-Up)
Baseline 1 Year 2 Years 3 Years Annual Change P
BCVA 0.91 (0.24) 0.94 (0.21) 0.92 (0.11) 0.90 (0.34) −0.003 0.034
Ishihara test 18.06 (3.04) 17.93 (3.22) 18.12 (3.76) 18.08 (3.23) 0.03 0.278
Visual field, MD (dB) −3.08 (2.44) −3.01 (3.23) −3.62 (2.14) −3.87 (2.76) −0.42 0.689
OCT mean thickness 89.43 (10.65) 86.95 (11.28) 84.50 (10.62) 81.03 (10.65) −3.67 0.004
OCT superior thickness 115.78 (15.03) 114.26 (16.23) 109.45 (14.79) 105.01 (13.45) −4.98 0.005
OCT nasal thickness 69.06 (17.47) 68.12 (17.08) 67.57 (16.16) 66.99 (15.89) −1.12 0.061
OCT inferior thickness 113.67 (14.56) 109.30 (16.34) 105.30 (19.22) 101.12 (15.59) −4.88 0.008
OCT temporal thickness 59.61 (13.45) 56.57 (18.97) 55.91 (15.63) 52.78 (15.11) −3.61 0.019
OCT macular volume 6.57 (0.43) 6.43 (0.23) 6.42 (0.39) 6.43 (0.34) −0.18 0.031
VEP amplitude, mV 11.09 (2.99) 11.05 (5.77) 11.12 (5.27) 10.99 (4.57) −0.04 0.443
VEP latency, ms 124.59 (11.32) 118.45 (6.45) 116.17 (5.54) 114.16 (7.31) 0.40 0.039
Table 2. 
 
Functional and Structural Measurements Obtained in the Healthy Control Group at Baseline and Annual Examinations (at 1, 2, and 3 Years of Follow-Up)
Table 2. 
 
Functional and Structural Measurements Obtained in the Healthy Control Group at Baseline and Annual Examinations (at 1, 2, and 3 Years of Follow-Up)
Baseline 1 Year 2 Years 3 Years Annual Change P
BCVA 0.95 (0.14) 0.95 (0.18) 0.95 (0.17) 0.95 (0.16) <–0.001 0.876
Ishihara test 19.65 (1.34) 19.64 (1.78) 19.66 (1.66) 19.63 (1.82) −0.001 0.573
Visual field, MD (dB) −0.77 (2.10) −0.78 (1.98) −0.75 (1.61) −0.75 (1.55) −0.008 0.770
OCT mean thickness 95.97 (11.60) 94.72 (11.82) 93.02 (10.62) 91.13 (10.65) −0.152 0.045
OCT superior thickness 117.95 (15.61) 116.34 (15.71) 115.45 (14.39) 115.04 (13.45) −0.079 0.245
OCT nasal thickness 72.53 (9.59) 72.27 (10.02) 72.00 (10.34) 71.66 (11.70) −0.022 0.156
OCT inferior thickness 126.25 (13.34) 125.87 (13.24) 124.03 (14.29) 123.19 (13.33) −0.180 0.032
OCT temporal thickness 68.53 (11.90) 67.96 (11.39) 67.56 (15.03) 67.25 (15.11) −0.042 0.441
OCT macular volume 7.11 (0.34) 7.10 (0.28) 7.11 (0.21) 7.10 (0.20) −0.005 0.398
VEP amplitude, mV 14.55 (2.53) 14.56 (2.77) 14.54 (3.34) 14.54 (3.67) <–0.001 0.689
VEP latency, ms 100.32 (5.92) 100.11 (4.65) 100.43 (5.01) 110.41 (6.88) 0.003 0.220
In the MS group, annual mean RNFL thickness measured by OCT showed a clear decrease over 3 years (Fig. 1A). The parameters with the most changes between baseline and the 3-year follow-up in MS patients were the superior and inferior RNFL thicknesses, with a decrease in annual mean thickness of 4.98 (P = 0.015) and 4.88 μm, respectively (P < 0.001). 
Correlation analysis was performed to determine the association between the changes registered in parameters during the 3-year follow-up. The changes in structural variables during the follow-up provided by OCT were not significantly correlated with the changes in the functional variables during these 3 years (BCVA, chromatic vision, VEP, EDSS, and EDSS Fvi); however, there was a moderate positive correlation between the change registered during the 3-year follow-up in the mean deviation of the visual field and changes in mean (r = 0.407, P = 0.034) and temporal (r = 0.521, P = 0.029) RNFL thicknesses during the 3 years of the longitudinal study. 
Changes in the functional and structural parameters over the 3-year follow-up were compared between treated and nontreated patients. Untreated patients showed a higher loss of thickness over the 3-year follow-up in all RNFL parameters (except in the nasal quadrant), but statistical differences were detected only in the mean and superior RNFL thicknesses (Table 3, Fig. 2). 
Figure 2. 
 
Mean decrease in RNFL thickness (measured in μm) over the 3-year follow-up in treated and nontreated groups.
Figure 2. 
 
Mean decrease in RNFL thickness (measured in μm) over the 3-year follow-up in treated and nontreated groups.
Table 3. 
 
Differences in Mean Change in Each Variable during the 3-Year Follow-Up for Two Groups: Treated and Untreated Patients
Table 3. 
 
Differences in Mean Change in Each Variable during the 3-Year Follow-Up for Two Groups: Treated and Untreated Patients
Change at 3 Years in Untreated Patients Change at 3 Years in Treated Patients P
Functional variables
 BCVA (Snellen) −0.003 (0.001) −0.002 (0.001) 0.257
 Ishihara test 0.02 (0.002) 0.04 (0.001) 0.487
 Visual field MD (dB) −0.22 (0.10) −0.49 (0.07) 0.312
 EDSS 0.10 (0.01) −0.10 (0.01) 0.034
 EDSS Fvi 0.03 (0.002) −0.01 (0.001) 0.457
RNFL thickness (OCT)
 Mean, μm −3.67 (0.72) −3.39 (0.66) 0.040
 Superior, μm −4.98 (0.54) −3.97 (0.72) 0.019
 Nasal, μm −1.12 (0.52) −1.21 (0.38) 0.298
 Inferior, μm −4.88 (0.91) −4.61 (0.80) 0.389
 Temporal, μm −3.61 (0.83) −3.60 (0.91) 0.053
 Macular volume, mm3 −0.18 (0.02) −0.15 (0.02) 0.076
VEP
 Latency, ms 0.05 (0.01) 0.05 (0.01) 0.770
 Amplitude, mV –0.41 (0.01) −0.37 (0.01) 0.523
Discussion
In the present study, we quantified changes in the RNFL over a 3-year period to analyze the ability of RNFL evaluation to be used as a biomarker of neurodegeneration and disability in patients with MS, and to compare axonal degeneration between treated and untreated patients. Numerous studies have demonstrated RNFL thinning not only in eyes with a previous episode of optic neuritis, but also in patients with MS who have never had an acute clinical episode of optic neuritis. 12,24,25 Measurements of RNFL thickness provided by digital imaging devices such as OCT have been suggested to be useful as an indirect marker of brain atrophy in MS. 15,26,27 In addition to RNFL thickness, OCT can also measure macular volume. The macula is composed of ganglion cell bodies, so macular volume may be a useful measurement of axonal loss (based on RNFL thickness) associated with neuronal degeneration. 28  
The new SD-OCT has advantages over previous TD instruments. SD-OCT provided axial resolutions of approximately 5 to 7 μm (compared with Stratus TD-OCT at 10 μm), 29 and the measurements provided by SD devices (such as Cirrus OCT) have better intraobserver and interobserver reproducibility. 8 In addition, several studies suggest that SD technology detects more retinal and RNFL conditions than conventional TD technology. 30,31  
We analyzed each eye separately because each eye can be affected differentially, especially in patients who present with unilateral episodes of optic neuritis. In addition, the OCT devices interpret the three-dimensional profile of the RNFL thickness in each eye and compare it separately with the normative base. Finally, a macular volume reduction in MS patients has been correlated with neuronal necrosis, demyelination, and axonal damage. The loss of ganglion cells also leads to a reduction of the macular volume (independently in each eye). 3240 Some authors, however, consider the inclusion of only one eye of each patient adequate for statistical analysis because RNFL measurements correlate significantly between the two eyes. 
The P100 wave latency of VEP is a parameter with high diagnostic ability in MS. 41,42 The P100 latency is delayed after an optic neuritis episode and this delay is maintained for years. 43 We observed an increase in the latency over the 3-year follow-up period due to the loss of visual pathway function in patients with MS disease progression. Nonreduction of VEP amplitude despite the reduction of the OCT RNFL can be caused by the remaining macular volume. Eighty percent of the VEP amplitude depends on the macula response and, therefore, does not involve the RNFL of the arcuate area. We also observed a nonsignificant increase in the P100 latency in the control group, which may be due to the variability of the device. Our findings reveal that a reduction in the mean or temporal RNFL thickness is associated with a decrease in the mean deviation of the visual field. 
Only a few authors have examined the effects of MS treatments on RNFL degeneration. Garcia-Martin et al. 44 concluded that treatment might be a protective factor against RNFL loss associated with disease progression. In the present study, we observed that the treatment for MS has a protective effect on the loss of RNFL thickness, but there were no differences between different types of treatments. MS is a chronic degenerative disease in which axonal loss occurs slowly and gradually in the absence of active inflammatory outbreaks, so a 3-year follow-up is a short time to detect small RNFL modifications in a population such as ours, which included only stable patients who had no acute relapsing MS episodes. Longer studies with a larger sample are needed to assess whether any of the currently approved treatments for MS have a significant protective effect on axonal loss detected by RNFL analysis. 
Based on other studies, 6 months is the time required for measurements made with digital image analysis techniques to record retrograde degeneration after an inflammatory episode in the optic nerve. 32,33 In the present study, patients with optic neuritis in the 6 months preceding the study were excluded, so all subjects were considered to have stable MS. If patients with active acute relapsing MS episodes had been included, higher differences between treatments may have been detected. The reason for excluding patients with acute relapsing MS episodes was to assess only axonal damage secondary to the progression of MS disease. The RNFL changes registered in our study were caused only by MS-related chronic neurodegeneration, not by acute heavy axonal loss that occurs in acute relapsing MS episodes. 
In conclusion, analysis of RNFL measured by OCT has good capability for detecting axonal damage in MS patients, and can be used to evaluate disease progression and effectiveness of the various therapies currently in use. 
References
Palace J. Inflammation versus neurodegeneration: consequences for treatment. J Neurol Sci . 2007;259:46–49. [CrossRef] [PubMed]
Hauser SL Oksenberg JR. The neurobiology of multiple sclerosis: genes, inflammation, and neurodegeneration. Neuron . 2006;52:61–76. [CrossRef] [PubMed]
Khanifar AA Parlitsis GJ Ehrlich JR Retinal nerve fiber layer evaluation in multiple sclerosis with spectral domain optical coherence tomography. Clin Ophthalmol . 2010;4:1007–1013. [PubMed]
Sergott RC. Optical coherence tomography: measuring in-vivo axonal survival and neuroprotection in multiple sclerosis and optic neuritis. Curr Opin Ophthalmol . 2005;16:346–350. [CrossRef] [PubMed]
Zaveri MS Conger A Salter A Retinal imaging by laser polarimetry and optical coherence tomography evidence of axonal degeneration in multiple sclerosis. Arch Neurol . 2008;65:924–928. [CrossRef] [PubMed]
Gundogan FC Demirkaya S Sobaci G. Is optical coherence tomography really a new biomarker candidate in multiple sclerosis? A structural and functional evaluation. Invest Ophthalmol Vis Sci . 2007;48:5773–5781. [CrossRef] [PubMed]
Garcia-Martin E Pueyo V Martin J Progressive changes in the retinal nerve fiber layer in patients with multiple sclerosis. Eur J Ophthalmol . 2010;20:167–173. [PubMed]
Garcia-Martin E Pueyo V Pinilla I Ara JR Martin J Fernandez J. Fourier-domain OCT in multiple sclerosis patients: reproducibility and ability to detect retinal nerve fiber layer atrophy. Invest Ophthalmol Vis Sci . 2011;52:4124–4131. [CrossRef] [PubMed]
Henderson AP Trip SA Schlottmann PG A preliminary longitudinal study of the retinal nerve fiber layer in progressive multiple sclerosis. J Neurol . 2010;257:1083–1091. [CrossRef] [PubMed]
Ratchford JN Quigg ME Conger A Optical coherence tomography helps differentiate neuromyelitis optica and MS optic neuropathies. Neurology . 2009;73:302–308. [CrossRef] [PubMed]
Syc SB Warner CV Hiremath GS Reproducibility of high-resolution optical coherence tomography in multiple sclerosis. Mult Scler . 2010;16:829–839. [CrossRef] [PubMed]
Pueyo V Martin J Fernandez J Axonal loss in the retinal nerve fiber layer in patients with multiple sclerosis. Mult Scler . 2008;14:609–614. [CrossRef] [PubMed]
Pueyo V Polo V Larrosa JM Mayoral F Ferreras A Honrubia FM. Reproducibility of optic nerve head and retinal nerve fiber layer thickness measurements using optical coherence tomography. Arch Soc Esp Oftalmol . 2006;81:205–211. [PubMed]
Garcia-Martin E Pueyo V Ara JR Effect of optic neuritis on progressive axonal damage in multiple sclerosis patients. Mult Scler . 2011;17:830–837. [CrossRef] [PubMed]
Frohman EM Dwyer MG Frohman T Relationship of optic nerve and brain conventional and non-conventional MRI measures and retinal nerve fiber layer thickness, as assessed by OCT and GDx: a pilot study. J Neurol Sci . 2009;282:96–105. [CrossRef] [PubMed]
Yi K Mujat M Park BH Spectral domain optical coherence tomography for quantitative evaluation of drusen and associated structural changes in non-neovascular age-related macular degeneration. Br J Ophthalmol . 2009;93:176–181. [CrossRef] [PubMed]
Wojtkowski M Srinivasan V Fujimoto JG Three-dimensional retinal imaging with high-speed ultrahigh-resolution optical coherence tomography. Ophthalmology . 2005;112:1734–1746. [CrossRef] [PubMed]
You JW Chen TC Mujat M Park BH De Boer JF. Pulsed illumination spectral-domain optical coherence tomography for human retinal imaging. Opt Express . 2006;14:6739–6748. [CrossRef] [PubMed]
Fjeldstad C Bemben M Pardo G. Reduced retinal nerve fiber layer and macular thickness in patients with multiple sclerosis with no history of optic neuritis identified by the use of spectral domain high-definition optical coherence tomography. J Clin Neurosci . 2011;18:1469–1472. [CrossRef] [PubMed]
Garcia-Martin E Pueyo V Almarcegui C Risk factors for progressive axonal degeneration of the retinal nerve fibre layer in multiple sclerosis patients. Br J Ophthalmol . 2011;95:1577–1582. [CrossRef] [PubMed]
Serbecic N Aboul-Enein F Beutelspacher SC High resolution spectral domain optical coherence tomography (SD-OCT) in multiple sclerosis: the first follow up study over two years. PLoS One . 2011;6:e19843. [CrossRef] [PubMed]
Beer S Rösler KM Hess CW. Diagnostic value of paraclinical tests in multiple sclerosis: relative sensitivities and specificities for reclassification according to the Poser committee criteria. J Neurol Neurosurg Psychiatry . 1995;59:152–199. [CrossRef] [PubMed]
Almarcegui C Dolz I Pueyo V Correlation between functional and structural assessments of the optic nerve and retina in multiple sclerosis patients. Neurophysiol Clin . 2010;40:129–135. [CrossRef] [PubMed]
Parikh RS Parikh SR Sekhar GC Prabakaran S Babu JG Thomas R. Normal age-related decay of retinal nerve fiber layer thickness. Ophthalmology . 2007;114:921–926. [CrossRef] [PubMed]
Talman LS Bisker ER Sackel DJ Longitudinal study of vision and retinal nerve fiber layer thickness in multiple sclerosis. Ann Neurol . 2010;67:749–760. [PubMed]
Dörr J Wernecke KD Bock M Association of retinal and macular damage with brain atrophy in multiple sclerosis. PLoS One . 2011;6:e18132. [CrossRef] [PubMed]
Gordon-Lipkin E Chodkowski B Reich DS Retinal nerve fiber layer is associated with brain atrophy in multiple sclerosis. Neurology . 2007;69:1603–1609. [CrossRef] [PubMed]
Burkholder BM Osborne B Loguidice MJ Macular volume determined by optical coherence tomography as a measure of neuronal loss in multiple sclerosis. Arch Neurol . 2009;66:1366–1372. [CrossRef] [PubMed]
Chen TC Zeng A Sun W Mujat M de Boer JF. Spectral domain optical coherence tomography and glaucoma. Int Ophthalmol Clin . 2008;48:29–45. [CrossRef] [PubMed]
Garcia-Martin E Pinilla I Sancho E Optical coherence tomography in retinitis pigmentosa: reproducibility and capacity to detect macular and retinal nerve fiber layer thickness alterations. Retina . 2012;32:1581–1591. [CrossRef] [PubMed]
Costa-Cunha LV Cunha LP Malta RF Monteiro ML. Comparison of Fourier-domain and time-domain optical coherence tomography in the detection of band atrophy of the optic nerve. Am J Ophthalmol . 2009;147:56–63. [CrossRef] [PubMed]
Costello F Coupland S Hodge W Quantifying axonal loss after optic neuritis with optical coherence tomography. Ann Neurol . 2006;59:963–969. [CrossRef] [PubMed]
Noval S Contreras I Rebolleda G Muñoz-Negrete FJ. Optical coherence tomography versus automated perimetry for follow-up of optic neuritis. Acta Ophthalmol Scand . 2006;84:790–794. [CrossRef] [PubMed]
Klistorner A Arvind H Garrick R Interrelationship of optical coherence tomography and multifocal visual-evoked potentials after optic neuritis. Invest Ophthalmol Vis Sci . 2010;51:2770–2777. [CrossRef] [PubMed]
Gordon-Lipkin E Chodkowski B Reich DS Retinal nerve fiber layer is associated with brain atrophy in multiple sclerosis. Neurology . 2007;69:1603–1609. [CrossRef] [PubMed]
Fisher JB Jacobs DA Markowitz CE Relation of visual function to retinal nerve fiber layer thickness in multiple sclerosis. Ophthalmology . 2006;113:324–332. [CrossRef] [PubMed]
Grazioli E Zivadinov R Weinstock-Guttman B Retinal nerve fiber layer thickness is associated with brain MRI outcomes in multiple sclerosis. J Neurol Sci . 2008;268:12–17. [CrossRef] [PubMed]
Iester M Cioli F Uccelli A Retinal nerve fibre layer measurements and optic nerve head analysis in multiple sclerosis patients. Eye . 2009;23:407–412. [CrossRef] [PubMed]
Trip SA Schlottmann PG Jones SJ Retinal nerve fiber layer axonal loss and visual dysfunction in optic neuritis. Ann Neurol . 2005;58:383–391. [CrossRef] [PubMed]
Zaveri MS Conger A Salter A Retinal imaging by laser polarimetry and optical coherence tomography evidence of axonal degeneration in multiple sclerosis. Arch Neurol . 2008;65:924–928. [CrossRef] [PubMed]
Balnytė R Ulozienė I Rastenytė D Vaitkus A Malcienė L Laučkaitė K. Diagnostic value of conventional visual evoked potentials applied to patients with multiple sclerosis. Medicina (Kaunas, Lithuania). 2011;47:263–269. [PubMed]
You Y Klistorner A Thie J Graham SL. Latency delay of visual evoked potential is a real measurement of demyelination in a rat model of optic neuritis. Invest Ophthalmol Vis Sci . 2011;52:6911–6918. [CrossRef] [PubMed]
Halliday AM. Visual evoked potentials in demyelinating disease. Adv Neurol . 1981;31:201–215. [PubMed]
García-Martín E Pueyo V Fernández J Effect of treatment in loss of retinal nerve fibre layer in multiple sclerosis patients. Arch Soc Esp Oftalmol . 2010;85:209–214. [CrossRef] [PubMed]
Footnotes
 Supported in part by Instituto de Salud Carlos III Grant PI11/01553.
Footnotes
 Disclosure: R. Herrero, None; E. Garcia-Martin, None; C. Almarcegui, None; J.R. Ara, None; D. Rodriguez-Mena, None; J. Martin, None; S. Otin, None; M. Satue, None; L.E. Pablo, None; F.J. Fernandez, None
Figure 1
 
(A) Mean RNFL thickness measured by OCT in patients with multiple sclerosis at baseline examination and the revisions made in the first, second, and third years. Thickness of the RNFL is measured in micrometers (μm). (B) Mean RNFL thickness measured by OCT in healthy controls at baseline examination and the revisions made in the first, second, and third years. SUP, superior; INF, inferior; TEMP, temporal.
Figure 1
 
(A) Mean RNFL thickness measured by OCT in patients with multiple sclerosis at baseline examination and the revisions made in the first, second, and third years. Thickness of the RNFL is measured in micrometers (μm). (B) Mean RNFL thickness measured by OCT in healthy controls at baseline examination and the revisions made in the first, second, and third years. SUP, superior; INF, inferior; TEMP, temporal.
Figure 2. 
 
Mean decrease in RNFL thickness (measured in μm) over the 3-year follow-up in treated and nontreated groups.
Figure 2. 
 
Mean decrease in RNFL thickness (measured in μm) over the 3-year follow-up in treated and nontreated groups.
Table 1. 
 
Functional and Structural Measurements Obtained at Baseline and Annual Examinations in Patients with Multiple Sclerosis (at 1, 2, and 3 Years of Follow-Up)
Table 1. 
 
Functional and Structural Measurements Obtained at Baseline and Annual Examinations in Patients with Multiple Sclerosis (at 1, 2, and 3 Years of Follow-Up)
Baseline 1 Year 2 Years 3 Years Annual Change P
BCVA 0.91 (0.24) 0.94 (0.21) 0.92 (0.11) 0.90 (0.34) −0.003 0.034
Ishihara test 18.06 (3.04) 17.93 (3.22) 18.12 (3.76) 18.08 (3.23) 0.03 0.278
Visual field, MD (dB) −3.08 (2.44) −3.01 (3.23) −3.62 (2.14) −3.87 (2.76) −0.42 0.689
OCT mean thickness 89.43 (10.65) 86.95 (11.28) 84.50 (10.62) 81.03 (10.65) −3.67 0.004
OCT superior thickness 115.78 (15.03) 114.26 (16.23) 109.45 (14.79) 105.01 (13.45) −4.98 0.005
OCT nasal thickness 69.06 (17.47) 68.12 (17.08) 67.57 (16.16) 66.99 (15.89) −1.12 0.061
OCT inferior thickness 113.67 (14.56) 109.30 (16.34) 105.30 (19.22) 101.12 (15.59) −4.88 0.008
OCT temporal thickness 59.61 (13.45) 56.57 (18.97) 55.91 (15.63) 52.78 (15.11) −3.61 0.019
OCT macular volume 6.57 (0.43) 6.43 (0.23) 6.42 (0.39) 6.43 (0.34) −0.18 0.031
VEP amplitude, mV 11.09 (2.99) 11.05 (5.77) 11.12 (5.27) 10.99 (4.57) −0.04 0.443
VEP latency, ms 124.59 (11.32) 118.45 (6.45) 116.17 (5.54) 114.16 (7.31) 0.40 0.039
Table 2. 
 
Functional and Structural Measurements Obtained in the Healthy Control Group at Baseline and Annual Examinations (at 1, 2, and 3 Years of Follow-Up)
Table 2. 
 
Functional and Structural Measurements Obtained in the Healthy Control Group at Baseline and Annual Examinations (at 1, 2, and 3 Years of Follow-Up)
Baseline 1 Year 2 Years 3 Years Annual Change P
BCVA 0.95 (0.14) 0.95 (0.18) 0.95 (0.17) 0.95 (0.16) <–0.001 0.876
Ishihara test 19.65 (1.34) 19.64 (1.78) 19.66 (1.66) 19.63 (1.82) −0.001 0.573
Visual field, MD (dB) −0.77 (2.10) −0.78 (1.98) −0.75 (1.61) −0.75 (1.55) −0.008 0.770
OCT mean thickness 95.97 (11.60) 94.72 (11.82) 93.02 (10.62) 91.13 (10.65) −0.152 0.045
OCT superior thickness 117.95 (15.61) 116.34 (15.71) 115.45 (14.39) 115.04 (13.45) −0.079 0.245
OCT nasal thickness 72.53 (9.59) 72.27 (10.02) 72.00 (10.34) 71.66 (11.70) −0.022 0.156
OCT inferior thickness 126.25 (13.34) 125.87 (13.24) 124.03 (14.29) 123.19 (13.33) −0.180 0.032
OCT temporal thickness 68.53 (11.90) 67.96 (11.39) 67.56 (15.03) 67.25 (15.11) −0.042 0.441
OCT macular volume 7.11 (0.34) 7.10 (0.28) 7.11 (0.21) 7.10 (0.20) −0.005 0.398
VEP amplitude, mV 14.55 (2.53) 14.56 (2.77) 14.54 (3.34) 14.54 (3.67) <–0.001 0.689
VEP latency, ms 100.32 (5.92) 100.11 (4.65) 100.43 (5.01) 110.41 (6.88) 0.003 0.220
Table 3. 
 
Differences in Mean Change in Each Variable during the 3-Year Follow-Up for Two Groups: Treated and Untreated Patients
Table 3. 
 
Differences in Mean Change in Each Variable during the 3-Year Follow-Up for Two Groups: Treated and Untreated Patients
Change at 3 Years in Untreated Patients Change at 3 Years in Treated Patients P
Functional variables
 BCVA (Snellen) −0.003 (0.001) −0.002 (0.001) 0.257
 Ishihara test 0.02 (0.002) 0.04 (0.001) 0.487
 Visual field MD (dB) −0.22 (0.10) −0.49 (0.07) 0.312
 EDSS 0.10 (0.01) −0.10 (0.01) 0.034
 EDSS Fvi 0.03 (0.002) −0.01 (0.001) 0.457
RNFL thickness (OCT)
 Mean, μm −3.67 (0.72) −3.39 (0.66) 0.040
 Superior, μm −4.98 (0.54) −3.97 (0.72) 0.019
 Nasal, μm −1.12 (0.52) −1.21 (0.38) 0.298
 Inferior, μm −4.88 (0.91) −4.61 (0.80) 0.389
 Temporal, μm −3.61 (0.83) −3.60 (0.91) 0.053
 Macular volume, mm3 −0.18 (0.02) −0.15 (0.02) 0.076
VEP
 Latency, ms 0.05 (0.01) 0.05 (0.01) 0.770
 Amplitude, mV –0.41 (0.01) −0.37 (0.01) 0.523
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×