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Multiple Sclerosis Journal

Open access

Review article

First published online February 6, 2015

Neuromyelitis optica and multiple sclerosis: Seeing differences through optical coherence tomography

https://doi.org/10.1177/1352458514567216

Abstract

Neuromyelitis optica (NMO) is an inflammatory autoimmune disease of the central nervous system that preferentially targets the optic nerves and spinal cord. The clinical presentation may suggest multiple sclerosis (MS), but a highly specific serum autoantibody against the astrocytic water channel aquaporin-4 present in up to 80% of NMO patients enables distinction from MS. Optic neuritis may occur in either condition resulting in neuro-anatomical retinal changes. Optical coherence tomography (OCT) has become a useful tool for analyzing retinal damage both in MS and NMO. Numerous studies showed that optic neuritis in NMO typically results in more severe retinal nerve fiber layer (RNFL) and ganglion cell layer thinning and more frequent development of microcystic macular edema than in MS. Furthermore, while patients’ RNFL thinning also occurs in the absence of optic neuritis in MS, subclinical damage seems to be rare in NMO. Thus, OCT might be useful in differentiating NMO from MS and serve as an outcome parameter in clinical studies.

Introduction

Neuromyelitis optica (NMO) is an immune-mediated disorder of the central nervous system (CNS) in which the optic nerves and the spinal cord are preferentially involved.¹ The disease-specific serum immunoglobulin (Ig)G targeting the astrocyte water channel aquaporin-4 (AQP4)^2,3 has facilitated differentiation of NMO from multiple sclerosis (MS) and recognition of a broad phenotypic spectrum referred to as neuromyelitis optica spectrum disorders (NMOSD).⁴ The use of the AQP4-IgG autoantibody in various in vivo and ex vivo models has led to an initial understanding of the pathogenic mechanisms that contribute to optic nerve injury.⁵ While additional autoantibodies against myelin oligodendrocyte glycoprotein (anti-MOG) and aquaporin-1 have been reported in a small number of NMO patients, the specificity of these autoantibodies to NMO and their relationship to disease pathogenesis remain unclear.^6–8

Techniques that provide information on the optic nerve structure and function are likely to prove useful to clinicians dealing with CNS diseases. Whereas a number of techniques evaluate visual function such as visual acuity, contrast sensitivity, color vision, visual fields, evoked potentials and pattern electroretinogram, others such as magnetic resonance imaging (MRI), optic coherence tomography (OCT), confocal scanning laser ophthalmoscopy (CSLO), and scanning laser polarimetry with variable corneal compensation (GDx-VCC), assess the anatomical integrity of the optic nerve and retina (Figure 1). OCT may have the advantage of requiring shorter acquisition times than CSLO,^9,10 and is more sensitive than GDx-VCC¹¹ in detecting retinal nerve fiber layer (RNFL) thinning in nasal and temporal sectors. It has the additional capability of measuring retinal segmental thickness.^12,13

Figure 1. Retinal parameters acquired by OCT.
(a) Fundus image showing the acquisition of the peripapillary RNFL thickness. OCT records a ring scan of 3.4 mm diameter around the optic nerve head, which is divided into quadrants. (b) The total macular volume is derived from a volume scan and contains all retinal layers in a 6 mm diameter cylinder around the fovea centralis. (c) Intra-retinal layer segmentation in a spectral domain OCT image. (d) MME in a patient with optic neuritis. MME locations are marked by yellow arrows.
OCT: optical coherence tomography; RNFL: retinal nerve fiber layer; S: superior; N: nasal; I: inferior; T: temporal; TMV: total macular volume; GCL; ganglion cell layer; IPL: inner plexiform layer; INL: inner nuclear layer; OPL: outer plexiform layer; ONL: outer nuclear layer; ELM: external limiting membrane; IS/OS: inner segments/outer segments of the photoreceptor layer; RPE: retinal pigment epithelium; MME: microcystic macular edema.

OCT is an analog of B-mode ultrasonography but uses infrared light instead of ultrasound to produce images based on the differential optical reflectivity. It can provide data on peripapillary and macular RNFL thicknesses and generate macular maps with segmental thicknesses and volumes (Figure 1). The recent development of spectral domain OCT (SD-OCT) allows enhanced resolution (2 µm), shorter acquisition times, three-dimensional scans, and video imaging.^14,15 Also, eye tracking systems permit almost perfect repositioning in longitudinal studies, allowing investigators to capture subtle changes on the order of a few micrometers. Investigations in MS have demonstrated that OCT is easy to perform, reproducible, and provides downstream measures of secondary neurodegeneration (RNFL and macular thinning).^12,16–19

Optic neuritis (ON) is a common condition involving primary inflammation, demyelination, and axonal injury in the optic nerve.²⁰ This process may lead to retinal ganglion cell (RGC) death, decreased macular volume, and to visual dysfunction or permanent visual loss. ON usually presents as an acute episode of unilateral or less frequently bilateral optic nerve inflammation, accompanied by ocular pain and decreased vision. ON is immune mediated²¹ and, in NMOSD, is associated with detectable AQP4-IgG.²² The pathological features of NMOSD include deposition of IgG and activated complement, loss of AQP4 expression, astrocytopathy, neutrophil accumulation and demyelination with axon loss.^23,24 The frequent involvement of the optic nerve in MS and NMO may be caused by a more reduced blood-brain barrier (BBB) function.^25,26 Furthermore, the optic nerve expresses high levels of supramolecular aggregates of AQP4.²⁷ The combination of enhanced AQP4 supramolecular aggregation and heightened BBB permeability may contribute to the specific pattern of tissue damage in NMOSD. Objective measures of the severity and etiology of optic nerve injury is important for the diagnosis, management, and treatment of ON. NMOSD-ON differs clinically from MS-ON; bilateral involvement is more common, and recurrent ON and severe residual visual dysfunction more likely.^7,28–32 Common MRI imaging features include lesions extending over one-half the length of the optic nerve, posterior nerve involvement, and chiasmal inflammation.^33,34 Whereas many characteristics of OCT in MS have already been established and are consistent with its pathophysiology,^35–40 OCT features in NMOSD are currently ill-defined and the relationship of these abnormalities with disease pathophysiology remains unclear.^41–51

This review analyzes the published data on OCT in NMOSD so that its ability to quantify optic nerve damage, facilitate diagnosis, monitor disease progression, evaluate therapeutic efficacy, and detect novel pathology might be assessed.

Methods

A literature search of Ovid MEDLINE (1946–2014) was conducted using the search terms “neuromyelitis optica” combined with “optical coherence tomography.” Given that OCT is a newer technology, all articles were current (2008–present). Review articles and case reports were excluded; however, the references contained in such articles were reviewed for completeness. PubMed was also searched using similar methodology. Only studies available in English were included. Authors were not contacted for unpublished data. A comprehensive overview of the individual studies is given in the supplementary table.

OCT findings in NMOSD

RNFL and macula

OCT has been applied to NMOSD cohorts, initially in cross-sectional studies^46–48 and, more recently, in prospective longitudinal investigations.⁵² Cross-sectional studies have consistently shown that the RNFL is significantly altered in NMOSD patients with ON compared to healthy controls and that RNFL thinning may be an early and frequent phenomenon. NMOSD-ON affects the entire peripapillary RNFL with particular involvement of the superior and inferior quadrants ^43,45 (Table 1 and Figure 2). This may reflect a lower preference for small-diameter axons, which are more abundant in the temporal quadrant and are preferentially affected in MS-ON.^36,53 Macular thinning is more severe in NMOSD with ON than in MS-ON, in line with poorer visual recovery observed following ON in NMOSD. NMOSD patients with a history of ON tend to have significantly lower RNFL thicknesses than patients with MS-ON^42–45 (Table 1 and Figure 2). A meta-analysis showed that ON significantly affects RNFL integrity and, on average, leads to a loss of approximately 20 μm in the affected eye in relapsing–remitting MS (RRMS) compared to healthy controls.³⁶ A recent study by Green and Cree showed an average RNFL loss in MS-ON of 17.6 μm compared to an average 31.1 μm reduction in NMOSD-ON.⁴⁴ Several studies showed that RNFL thickness in NMOSD patients after ON is reduced to 55–83 µm, compared to 93–108 µm in the respective control groups.^{42,43,45–48,50,54–57}

Table 1. Summary of neuro-ophthalmological parameters in neuromyelitis optica compared to multiple sclerosis.

	NMO-ON	MS-ON	HCs	Comments
Visual impairment	Severe	Moderate	–	Visual acuity and contrast sensitivity recovery after ON attacks in NMO is lower than in MS, and blindness is not uncommon in NMO; altitudinal loss may be eventually seen in NMO, but not in MS
Funduscopy	Disc atrophy and vascular changes with ‘frosting’	Segmental disc atrophy without venous sheathing	–	Vascular changes seen in eyes with ON in NMO: attenuation of arterioles in the peripapillary retina, often with accompanying venous changes
Optic nerve OCT^a
Average RNFL thickness	55–83 µm	74–95 µm	93–108 µm	Reduction of peripapillary RNFL thickness in NMO is basically attack-related; MS patients may have RNFL reduction in non-ON eyes. Superior and inferior RNFL predominantly affected in NMO compared to temporal RNFL in MS.
Superior	66–100 µm	90–117 µm	121–136 µm
Inferior	64–99 µm	92–117 µm	127–138 µm
Temporal	39–63 µm	50–67 µm	67–79 µm
Nasal	29–75 µm	42–88 µm	74–97 µm
Macula^b				Retinal thickness, total macular volume, and GCL/GC+IPL thickness are usually lower in affected eyes from NMO than MS, while INL/INL+OPL is often thicker in NMO.
Microcystic macular edema (MME)	20–26%	5–6%	0%	MME eyes have lower pRNFL thickness, and VA than non-MME eyes

RNFL segmentation from different optical coherence tomography (OCT) devices is slightly different, but comparable. ^bMacula thickness, total macular volume and intra-retinal layer segmentation varies in different machines; thus, results cannot be compared. NMO: neuromyelitis optica; MS: multiple sclerosis; HCs: healthy controls; ON: optic neuritis: RNFL: retinal nerve fiber layer; GCL: ganglion cell layer; IPL: inner plexiform layer; INL: inner nuclear layer; OPL: outer nuclear layer.

Figure 2. Typical differences in retinal damage between NMO-ON and MS-ON.
(a) RNFL thickness values for different locations of the peripapillary ring scans including comparison to a healthy reference group. (b) Thickness map of the retinal GCL, derived with help of a semiautomatic segmentation software. The NMO-ON patient shows more severe thinning both in the RNFL and GCL.
MS: multiple sclerosis; ON: optic neuritis; NMO: neuromyelitis optica; RNFL: retinal nerve fiber layer; GCL: ganglion cell layer.

OCT measures and visual function

As in patients with MS, OCT in NMOSD correlated well with results from visual acuity testing.^42,45 Using 1.25% low-contrast visual acuity charts in monocular testing, the average number of correct letters read by NMOSD patients with ON was four; MS-ON patients and healthy controls averaged 6.5 and 16, respectively.⁴² The same study indicated that high-contrast acuity became very poor in eyes of NMOSD patients with ON when the average RNFL thickness fell below 60 µm.⁴² More recent studies applying macular multilayer segmentation analyses have provided evidence that not only peripapillary RNFL but also neuronal layers like the ganglion cell layer (GCL) or the combined ganglion cell/inner plexiform layer (GCIP) are significantly thinned in patients with MS-ON and NMOSD-ON; the NMOSD patients showed greater thinning^57,58 (Figure 2).

OCT measures in NMOSD eyes without ON

While in eyes of MS patients without a history of ON RNFL thickness is on average reduced by 7 µm,³⁶ several studies showed that NMOSD patients without a history of ON had normal RNFLs.^42,46,48,50 This suggests that subclinical ON in NMOSD is uncommon and contrasts with both the subclinical visual-evoked potential (VEP) abnormalities and OCT abnormalities recognized in clinically isolated syndrome (CIS) patients with or without clinical ON.¹⁹ Interestingly, another study reported that NMOSD eyes without a history of ON had prolonged P100 latencies on VEP compared to normal controls; however, the absolute latencies were still within the normal range.⁵⁹ Other groups have reported thinning of the combined GCIP in NMOSD eyes without a history of ON.^55,56 This discrepancy may result from difficulties in accurately ascertaining clinical ON events in a retrospective approach, differences in OCT devices, segmentation techniques, and the smaller variance of the GCIP metric. Some differences in segmental retinal thinning has been observed in NMOSD-ON and MS-ON eyes, suggesting that SD-OCT may be useful in distinguishing NMO from MS following ON.⁵¹ Additional investigations are needed, however, to confirm these preliminary observations.

Macular changes including microcystic macular edema (MME)

Some but not all OCT studies have also highlighted macular changes following MS-ON and RNFL changes following ON in NMOSD. These differences could reflect different pathogenic processes.⁵⁴ MME has recently been described in patients with MS and other optic neuropathies (Figure 1(d)). In MS patients, MME seems to be associated with higher levels of clinical disability⁶⁰ and disease activity as measured by the frequency of clinical relapses and MRI activity (T2- and gadolinium-enhancing T1 lesions).⁶¹ Although the underlying mechanisms of MME are still a matter of debate,⁶² clinical reports have shown that MME is not MS-ON specific but can also be detected in NMOSD-ON eyes and other optic neuropathies (chronic relapsing inflammatory optic neuropathy, ischemic, Leber disease, etc.). Microcystic inner nuclear layer abnormalities can be detected in 20%–26% of NMOSD patients,^49,56,58 and in up to 40% of ON-affected eyes in AQP4-IgG-positive patients but not in unaffected eyes.⁶³ This is much higher than the 5% previously reported in MS patients.^60,49

OCT measures and clinical disability

Similar to studies of MS-ON, visual function correlates well with RNFL thickness^36,46–48 in NMOSD patients. However, in contrast to some studies of MS-ON,^13,64,65 RNFL thickness in NMOSD has only sporadically correlated with the overall Expanded Disability Status Scale (EDSS).⁴⁶ Although this may not be surprising in light of the limited amount of visual function captured in the EDSS, the weaker correlation between RNFL thickness and EDSS in NMOSD as compared to MS may be the product of both distinct pathophysiology and involvement of a more limited spectrum of the CNS neuroaxis. The development of a validated disability scale specific to NMOSD will be important in determining whether OCT parameters may extend beyond the visual system to prove a clinical biomarker of disease activity.

ON and OCT in pediatric NMO

While most clinical characteristics of pediatric NMO are similar to adult-onset disease, a comprehensive clinical evaluation of NMOSD-ON in children has not been conducted. Approximately 50% of pediatric NMO cases have severe residual visual impairment in one or both eyes.⁶⁶ However, the vast majority of cases involve recurrent episodes of ON. Since MRI examinations and VEPs can be challenging in children because of a lack of patient cooperation, OCT may be a promising tool to differentiate pediatric NMO from other causes of ON. A longitudinal analysis of NMOSD-ON in the pediatric population with accompanying OCT analysis will be critical for understanding whether visual outcomes and corresponding neuro-anatomic measures of injury vary in the pediatric age group and powering clinical trials for acute and prophylactic therapies.

Association of OCT measures with brain volume

Animal models have demonstrated that RNFL thinning as measured by OCT reflects retinal axonal loss.^67–69 Recent studies on OCT/MRI correlations in MS have shown good correlation between RNFL measures and both white and gray matter atrophy^17,70 and brain parenchymal fraction.⁷¹ Another recent study in a cohort of CIS and early RRMS patients with short disease duration (3.2 years) and mild levels of disability (median EDSS 1.5) indicated that in early stages of relapsing forms of the disease, OCT-derived retinal measures reflect white matter damage, with variability in gray matter being an age-related effect.⁷² von Glehn et al. demonstrated cortical thinning in NMO patients (1.55 mm) compared to healthy controls (1.62 mm, p = 0.027) and a positive correlation between RNFL and cortical thickness.⁷³ When stratified by disease duration, RNFL and cortical thinning both progressed with time. Additional MRI analyses demonstrated global white and gray matter volume loss.

Effect of relapse treatment on OCT measures and visual function

Recent therapeutic studies found that relapse activity in NMO patients responded better to immunosuppressive drugs than to immunomodulators.^74–77 Immunosuppressive drugs are known to have anti-inflammatory effects, but to date there are no data regarding their effect on neuronal and axonal loss. One study compared intravenous methylprednisolone (IVMP, 2 g per day for three to five days) to IVMP in conjunction with plasma exchange (PE, five consecutive exchanges) in individuals with a first attack of ON due to NMO or NMOSD.⁷⁸ In the PE group, 75% recovered to 20/40 or better. While the Snellen equivalent did not improve in the IVMP-only group (20/400 at initial and end of study exams), the visual acuity in the PE group improved from 20/400 at baseline to 20/50 at the final visit. While high-contrast visual acuity scores were better in the PE group, there were no statistical differences in RNFL thickness (mean thickness 63 µm in the IVMP group vs. 70 µm in the IVMP plus PE group, p = 0.16). A second study performed in patients who had failed to improve with high-dose corticosteroids also examined the use of PE.⁷⁹ In this small study, RNFL thickness was preserved at one year, with one patient followed longitudinally and demonstrating stable RNFL thickness over four years. Another small retrospective study from Japan suggested that early IVMP treatment after an acute ON event may help preserve RNFL thickness in NMO.⁴⁵ Eyes with RNFL thicknesses exceeding 71.41 µm had a significantly earlier treatment with IVMP than those eyes below this cutoff. Average RNFL thickness after an ON attack was inversely correlated with the period from onset of clinical symptoms to IVMP therapy. Thus, because of its sensitivity, OCT is a noninvasive tool that is ideally suited to provide information on potential neuroprotection in ON clinical trials.^45,80

Value of OCT for differential diagnosis

In light of different treatment strategies for NMOSD and MS, an early and accurate diagnosis is key for optimal patient management but may remain challenging in cases of seronegative NMO. In this regard, OCT may be of potential value to help the clinician discriminate between MS-ON and NMOSD-ON, particularly when ON is the initial clinical presentation. Some studies have analyzed the ability of OCT measures to distinguish between MS and NMOSD. Naismith et al. reported that the odds of falling into the NMOSD group increased by 8% for every 1 µm decrease in RNFL thickness.⁴³ In a multilayer segmentation study, Park et al. found that ONL thickness greater than 83 µm at the inner temporal location (from the foveal center) and GCIP thickness of less than 62 µm at the outer superior location (from the foveal center) were suggestive of NMO.⁵⁷ Schneider et al. reported that both peripapillary RNFL thickness and the ratio of nasal to temporal peripapillary RNFL thickness may be helpful in distinguishing NMOSD-ON and MS-ON.⁵⁰ However, each of these findings has to be interpreted with caution given the low sample sizes and the exploratory nature of the analyses. Confirmatory studies using larger patient populations are needed before they can be used to guide clinical decision making.

Future prospects

Major advancements in the management of brain disease are likely to depend on the identification of imaging or molecular biomarkers. Such biomarkers are needed for an improved understanding of the pathogenesis, the stratification of patients based on the prognosis or response to therapy, and as surrogate endpoints in clinical trials. As such, one of the main initiatives from the National Institutes of Health (NIH) in Alzheimer’s disease is a multicenter study for validating biomarkers (MRI, positron-emission tomography (PET), beta-amyloid or Tau in cerebrospinal fluid (CSF)). For this reason, OCT for quantifying and monitoring axon damage of the optic nerve and the related retrograde degeneration of the GCL is likely to improve assessment of optic nerve tissue damage in NMO-ON. Although OCT will not capture non-optic nerve damage, its exquisite ability to quantify changes in the retina after optic nerve damage may allow prediction of visual recovery, general assessment of therapeutic efficacy as a surrogate of disability after inflammatory attacks or as a measure of neuroprotection or regeneration, and stratification of patients based on different patterns of damage.

Multimodal and comprehensive evaluation of the anterior visual pathway will provide even better understanding of NMOSD patients with ON. It may deliver clinically useful instruments for patient analysis. The good agreement between morphology captured by OCT, functional assessments such as multifocal visual-evoked potentials, and clinical outcomes such as visual fields, visual acuity and visual quality of life, may enable a comprehensive assessment of ON in patients with NMOSD. Moreover, multimodal assessments of patients provide the opportunity to integrate all factors participating in the disease, from molecular and cellular processes to visual system performance. New laser technologies are being developed that will allow molecular analysis of the retina changes, single-cell visualization of the RNFL and RGC, assessment of neural activity by imaging (which can be integrated with electroretinography), changes in blood flow and other retina fluids. NMO, an AQP4-astrocytopathy that commonly affects the optic nerves, is likely to benefit from these developments. For this reason, NMO can effectively indicate the potential of this new technology in assessing CNS damage and of neuroprotective or regenerative treatments.

Acknowledgments

The authors thank The Guthy-Jackson Charitable Foundation for its support in organizing the NMO International Clinical Consortium & Biorepository.

Conflict of interest

None declared.

Funding

This work was supported by the German Ministry for Education and Research (Competence Network Multiple Sclerosis) (to FP).

Footnote

Members of The Guthy-Jackson Charitable Foundation (GCJF) NMO International Clinical Consortium and Biorepository (ICC&BR) and the GJCF NMO Biorepository Oversight Committee (BOC) are recognized as affiliated authors of this study and listed below in alphabetic order by institution:

Catholic University, Rome, Italy: Raffaele Iorio

Charité University Berlin, Germany: Friedemann Paul, Jens Wuerfel

CHU de Fort de France, Martinique: Philippe Cabre

CHU, Lyon, France: Romain Marignier

CHU Strasbourg, France: Jérôme de Seze

Dr Juan P. Garrahan National Pediatric Hospital, Argentina: Silvia Tenembaum

IDIBAPS Barcelona, Spain: Albert Saiz, Pablo Villoslada

Johns Hopkins University, Baltimore, MD, USA: Michael Levy

Massachusetts General Hospital, Boston, MA, USA: Tanuja Chitnis, Eric C. Klawiter

Mayo Clinic, Scottsdale, AZ, USA: Dean Wingerchuk; Brian Weinshenker

Research Institute and Hospital of National Cancer Center, Goyang, Korea: Ho Jin Kim

Nitte University Mangalore, India: Lekha Pandit

Oxford University Hospitals National Health Service Trust UK: Maria Isabel Leite, Jacqueline Palace

Portland VA Medical Center, VA Medical Center and Oregon Health Science Center, OR, USA: Jack Simon

Prasat Neurological Institute Bangkok, Thailand: Metha Apiwattanakul

Ruhr University, Bochum, Germany: Ingo Kleiter

School of Medicine, Griffith University, Australia: Simon Broadley

Siriraj Hospital, Mahidol University, Bangkok, Thailand: Naraporn Prayoonwiwat

Stanford University School of Medicine, Palo Alto, CA, USA: May Han

St. Josef Hospital Bochum, Germany: Kerstin Hellwig

The Children’s Hospital of Philadelphia, PA, USA: Brenda Banwell

The Guthy Jackson Charitable Foundation, San Diego, CA, USA: Katja van Herle

The Mount Sinai Hospital, New York, NY, USA: Gareth John

Thomas Jefferson University, Philadelphia, PA, USA: D. Craig Hooper

Tohoku University Sendai, Japan: Kazuo Fujihara, Ichiro Nakashima, Douglas Sato

Universidade Federal de Sao Paulo, Sao Paulo, Brazil: Denis Bichuetti

University of California, Los Angeles: Michael R. Yeaman

University of California, San Francisco, CA, USA: Emmanuelle Waubant, Scott Zamvil

University of Colorado, Denver, CO, USA: Jeffrey Bennett

University of Michigan Medical School, Ann Arbor, MI, USA: Terry Smith

University of Minas Gerais, Belo Horizonte, Brazil: Marco Lana-Peixoto

University of Texas, Southwestern, Dallas, TX, USA: Olaf Stuve; Benjamin Greenberg

University of Düsseldorf, Germany: Orhan Aktas

University of Goettingen, Germany: Jens Wuerfel

University of Southern Denmark, Denmark: Nasrin Asgari

Walton Center, Liverpool, UK: Anu Jacob

Yale University School of Medicine, Department of Neurology, New Haven, CT, USA: Kevin O’Connor

References

1. Wingerchuk DM, Hogancamp WF, O’Brien PC, et al. The clinical course of neuromyelitis optica (Devic’s syndrome). Neurology 1999; 53: 1107–1114.

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Abstract

Introduction

Methods

OCT findings in NMOSD

RNFL and macula

OCT measures and visual function

OCT measures in NMOSD eyes without ON

Macular changes including microcystic macular edema (MME)

OCT measures and clinical disability

ON and OCT in pediatric NMO

Association of OCT measures with brain volume

Effect of relapse treatment on OCT measures and visual function

Value of OCT for differential diagnosis

Future prospects

Acknowledgments

Conflict of interest

Funding

Footnote

References

Supplementary Material

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