Journal of Neuro-Ophthalmology:
Retinal Ganglion Cell Layer Volumetric Assessment by Spectral-Domain Optical Coherence Tomography in Multiple Sclerosis: Application of a High-Precision Manual Estimation Technique
Davies, Emma C BS; Galetta, Kristin M MS; Sackel, David J MD; Talman, Lauren S BA; Frohman, Elliot M MD, PhD; Calabresi, Peter A MD; Galetta, Steven L MD; Balcer, Laura J MD, MSCE
Departments of Neurology (ECD, KMG, DJS, LST, SLG, LJB), Ophthalmology (SLG, LJB), and Epidemiology (LJB), University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania; Department of Neurology (EMF), University of Texas Southwestern Medical Center, Dallas, Texas; and Department of Neurology (PAC), The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Supported by the National MS Society Grants PP1115, RG 3208-A-1, and RG 3428-A/2 (LJB), the National MS Society Translational Research Partnership Grant TR 3760-A-3 (PAC, LJB), the National Institutes of Health/National Eye Institute Grants K24 EY 014136 and R01 EY 019473 (LJB), the McNeill Foundation, the DADs Foundation, the Penn Clinical Neuroscience Track Summer Fellowship (ECD), and the Foundation of the Consortium of MS Centers (DJS).
Dr E. M. Frohman has received speaking and consulting honoraria from Biogen-Idec, Novartis, TEVA, and Acorda. Dr P. A. Calabresi has received personal compensation for consulting and serving on scientific advisory boards from Biogen-Idec, Teva, and Novartis and has received research funding from companies Biogen-Idec, Teva, EMD Serono, Vertex, Genentech, Abbott, and Bayer. Dr. S. L. Galetta has received speaking and consulting honoraria from Biogen-Idec, Novartis, and Teva. Dr L. J. Balcer has received speaking and consulting honoraria from Biogen-Idec, Bayer, and Novartis.
Address correspondence to Laura J. Balcer, MD, MSCE, 3 East Gates Building, Neurology, 3400 Spruce Street, Philadelphia, PA; E-mail: firstname.lastname@example.org
Background: Neuronal loss in the retina has been demonstrated pathologically in eyes of patients with multiple sclerosis (MS). In vivo, MS eyes have reduced total macular volumes by optical coherence tomography (OCT). Using a high-resolution spectral-domain OCT, this pilot study used a manual method to measure ganglion cell layer (GCL) volumes and to determine the relation of these volumes to visual function in MS eyes.
Methods: Sixteen eyes of 8 patients with MS and 8 eyes of 5 disease-free control participants were studied using fast macular OCT scans performed with Spectralis OCT (Heidelberg Engineering). Visual function tests of low-contrast letter acuity and high-contrast visual acuity were administered.
Results: MS patient eyes had significantly lower GCL volumes than the control eyes (P < 0.001 vs controls, generalized estimating equation regression models accounting for age and within-patient intereye correlations). Within the MS group, eyes with a history of optic neuritis (ON, n = 4) had significantly lower GCL volumes than MS eyes with no ON history (P < 0.001). In contrast to measures of high-contrast visual acuity (P = 0.14), decreased GCL volumes were associated with worse performance on low-contrast letter acuity testing (P = 0.003).
Conclusions: This pilot study has characterized thinning of the GCL in MS patient eyes, particularly in those with a history of acute ON, which corresponded to a reduced performance on low-contrast letter acuity testing. Studies utilizing computerized segmentation algorithms will continue to facilitate the detection of GCL loss on a larger scale and provide important information in vivo on the role and timing of neuronal vs axonal loss in MS eyes.
Neuronal loss is increasingly recognized as an important correlate of disability in multiple sclerosis (MS) (1,2). While gray matter lesions in MS have been documented pathologically, new MRI techniques (i.e., double inversion recovery imaging) have allowed us to visualize cortical lesions in the brains of MS patients in vivo. Validated and high-precision methods have generated retinal metrics that reflect features of the histopathological substrate of MS. In particular, changes in retinal architecture represents a unique model for dissecting the mechanisms and temporal evolution of axonal and neuronal damage in the disease process, given that retinal nerve fiber layer (RNFL) axons are nonmyelinated (3-8). Optical coherence tomography (OCT) is a noninvasive, rapid, and highly reproducible method to image the retina and obtain reliable measurements of macular volume (which reflects the collective thickness of axons, neurons, and glia) (3). Recent studies have demonstrated a reduction in macular volume in MS patients vs age-matched controls using conventional time-domain OCT technology (5). Furthermore, reduction in volumes of the macula adjacent to the fovea (the inner macular zone), an area whose volume contains approximately 34% retinal ganglion cells, suggests that the ganglion cell layer (GCL) is thinned in MS (5,9).
While we have demonstrated that GCL and the thin adjacent inner plexiform layer (IPL) are thinned in MS patients vs healthy controls (6,7), our computerized algorithm was unable to discriminate the GCL from IPL. It is of particular interest, therefore, whether thinning of the GCL can be observed in MS eyes, both with and without a history of acute optic neuritis (ON), and whether GCL thinning correlates with loss of visual function. The purpose of our study was to pilot a manual method for estimating retinal GCL volume by high-speed, high-definition spectral-domain OCT using Spectralis OCT (Heidelberg Engineering, Inc, Heidelberg, Germany). We also sought to compare these volumes in MS eyes with vs without a history of acute ON and to explore the relation of GCL volumes to validated patient-performed measures of visual function.
Patients were enrolled as part of an ongoing prospective study of visual outcome measures in MS at the University of Pennsylvania. Subjects represent a convenience sample of patients who had undergone OCT imaging and vision testing for research purposes. Each individual was diagnosed with MS using standard criteria (10), and patients with comorbid ocular conditions not related to MS were excluded by history, chart review, and examination. A history of acute ON was determined by self and physician report. Disease-free controls were recruited from among staff and had no history of ocular or neurological disease.
Optical Coherence Tomography
OCT was performed for both eyes using the Spectralis OCT (Heidelberg Engineering, Inc). The Spectralis OCT utilizes 2 medical Class I lasers to image the retina, with technology that allows for eye tracking and signal noise reduction. The fast macular scan with 25 frames per eye was used with 20° × 20° scans and an automatic real-time mean value (number of scans averaged at each scan position) set at 9. OCT was performed by a trained technician following visual function testing. All scans were performed under ambient lighting and without pupil dilation to optimize patient comfort. High-quality images were defined as those with individual retinal layers that could be identified (with characteristics, including signal strength of approximately 26 dB, uniform brightness, and crisp borders of blood vessels). In this small cohort, none of the individuals or scans were excluded for insufficient quality.
The macular scans were then manually segmented for each section (25 sections for each eye) by moving the automatic contours (outer contour along the inner limiting membrane and inner contour along the outer border of the retinal pigment epithelium) to outline the GCL. This time-intensive method involved: 1) placing individual points (>100) along the outer boundary between the GCL and the nerve fiber layer and along the inner boundary between the GCL and the IPL (Fig. 1), 2) the computer automatically joining adjacent points with a curve to form a smooth contour using a spine algorithm, and 3) the Spectralis software estimating the total GCL volume from the cumulative frames integrated over 25 sections. Images were magnified by 400%-800%, and contrast was enhanced to maximize the accuracy of the layer delineation. Manual segmentation was performed for all scans by a single investigator who was masked to MS vs control status of the images.
Visual Function Testing
Study participants were refracted so that visual function could be measured with best-corrected vision. Low-contrast letter acuity was tested for each eye individually using retro-illuminated low-contrast Sloan letter charts (2.5% and 1.25% contrast levels at 2 m; Precision Vision, LaSalle, IL) (11). High-contrast visual acuity (VA) was determined using retro-illuminated Early Treatment Diabetic Retinopathy Study charts at 3.2 m. Both chart types have a similar standardized format with 5 letters per line and were scored based on the number of letters appropriately identified (maximum score of 70 per chart). All visual function testing was performed by trained technicians.
Analysis was performed using Stata 11.0 software (StataCorp, College Station, TX). Generalized estimating equation models, accounting for age and within-patient intereye correlations, were used to examine the GCL volume of MS patient eyes compared to control eyes. Within the MS group, the GCL volume in eyes with a history of ON was compared to the GCL volume of eyes without a history of MS. These models were also used to determine the association between GCL volume and performance on low-contrast and high-contrast VA charts. For all statistical tests, type I error for significance was set as P < 0.05.
Patients with MS (n = 8, 16 eyes) had a mean age of 50 ± 6 years. Four of the 16 MS eyes (25%) had a history of ON. Median high-contrast VA (Snellen equivalent) for the MS patient eyes using Early Treatment Diabetic Retinopathy Study charts was 20/20 (range, 20/32 to 20/12.5). Disease-free controls (n = 4, 8 eyes) had a mean age of 34 ± 11 years.
MS patient eyes were found to have significantly lower GCL volumes than control eyes (P < 0.001, generalized estimating equation models accounting for age and within-patient intereye correlations, Fig. 2A). Within the MS group, eyes with a history of ON had significantly lower GCL volumes than MS eyes without a history of ON (P < 0.001) (Fig. 2B). Finally, even when MS eyes without a history of ON were compared to control eyes, the MS eyes had a significantly lower GCL volume than control eyes (P = 0.001, Fig. 2C). Lower GCL volumes were associated with worse performance on low-contrast letter acuity tests (P = 0.01 using 2.5% contrast charts and P = 0.003 using 1.25% contrast charts). However, lower GCL volumes were not significantly correlated with high-contrast VA scores (P = 0.14).
The results of this pilot study demonstrate that GCL volumes are reduced among eyes of patients with MS compared to disease-free controls and that MS eyes with a history of acute ON have the greatest degree of GCL neuronal loss. Although the manual method for retinal segmentation and GCL thickness measurement in this study required approximately 2 hours per eye to complete, this work represents an important step toward demonstrating GCL thinning in an MS cohort. Computerized segmentation algorithms are being used which will allow for automated measurement of the GCL + IPL layers and therefore examine neuronal loss on a larger scale in studies of MS and ON (6,7). While these studies may confirm that RNFL and total macular volume remain sensitive indicators of visual pathway disease, segmentation of the GCL + IPL specifically will provide important information in vivo on the role and timing of neuronal (GCL) vs axonal loss (RNFL) in MS eyes.
This investigation provides evidence for neuronal degeneration in the anterior visual pathway in patients with MS and suggests that larger studies should be performed in heterogeneous MS cohorts. Further, low-contrast letter acuity was a stronger correlate of GCL volume loss compared to high-contrast VA. This result supports previous findings that low-contrast acuity can detect even very subtle visual dysfunction in MS patients not captured by conventional high-contrast VA assessments (11).
The evidence of GCL volume loss in MS patients highlights the need for future research to document retinal ganglion cell loss over time in MS, thereby enabling insight to the temporal pattern of neuronal degeneration, and correspondingly has clear therapeutic implications for the development of neuroprotection strategies. In our cohort, GCL volume loss was noted even among eyes with no history of acute ON. This is similar to findings demonstrating reduced RNFL and total macular volume in MS non-ON eyes (2-5) but underscores the need to further understand the degree to which the timing and magnitude of neuronal vs axonal loss may differ in the setting of ON vs MS without acute visual loss. Our ongoing multicenter collaborative research initiative includes work based on computerized segmentation techniques that measure GCL + IPL volume longitudinally in heterogeneous MS cohorts. These computerized algorithms are being used thus far successfully in MS eyes (6,7), particularly with macular predominant thinning, as well as in glaucoma (12-15), and provide important information in vivo on the role and timing of neuronal vs axonal loss.
1. Rudick RA,
Lee JC, Nakamura K, Fisher E. Gray matter atrophy correlates with MS disability progression measured with MSFC but not EDSS. J Neurol Sci. 2009;282:106-111.
2. Fisher E,
Lee JC, Nakamura K, Rudick RA. Gray matter atrophy in multiple sclerosis: a longitudinal study. Ann Neurol. 2008;64:255-265.
3. Galetta KM,
Calabresi PA, Frohman EM, Balcer LJ. Optical coherence tomography (OCT): imaging the visual pathway as a model for neurodegeneration. Neurotherapeutics. 2011;8:117-132.
4. Talman LS,
Bisker ER, Sackel DJ, Galetta KM, Ratchford JN, Lile DJ, Farrell SK, Loguidice MJ, Remington G, Conger A, Frohman TC, Jacobs DA, Markowitz CE, Cutter GR, Ying GS, Dai Y, Maguire MG, Galetta SL, Frohman EM, Calabresi PA, Balcer LJ. Longitudinal study of vision and retinal nerve fiber layer thickness in multiple sclerosis. Ann Neurol. 2010;67:749-760.
5. Burkholder BM,
Osborne B, Loguidice MJ, Bisker E, Frohman TC, Conger A, Ratchford JN, Warner C, Markowitz CE, Jacobs DA, Galetta SL, Cutter GR, Maguire MG, Calabresi PA, Balcer LJ, Frohman EM. Macular volume determined by optical coherence tomography as a measure of neuronal loss in multiple sclerosis. Arch Neurol. 2009;66:1366-1372.
6. Saidha S,
Syc SB, Ibrahim MA, Eckstein C, Warner CV, Farrell SK, Oakley JD, Durbin MK, Meyer SA, Balcer LJ, Frohman EM, Rosenzweig JM, Newsome SD, Ratchford JN, Nguyen QD, Calabresi PA. Primary retinal pathology in multiple sclerosis as detected by optical coherence tomography. Brain. 2011;134:518-533.
7. Werner JS,
Keltner JL, Zawadzki RJ, Choi SS. Outer retinal abnormalities associated with inner retinal pathology in nonglaucomatous and glaucomatous optic neuropathies. Eye. 2011;25:279-289.
8. Green AJ,
McQuaid S, Hauser SL, Allen IV, Lyness R. Ocular pathology in multiple sclerosis: retinal atrophy and inflammation irrespective of disease duration. Brain. 2010;133:1591-1601.
9. Wolf-Schnurrbusch UE,
Ceklic L, Brinkmann CK, Iliev ME, Frey M, Rothenbuehler SP, Enzmann V, Wolf S. Macular thickness measurements in healthy eyes using six different optical coherence tomography instruments. Invest Ophthalmol Vis Sci. 2008;50:3432-3437.
10. Polman C,
Reingold S, Edan G, Filippi M, Hartung HP, Kappos L, Lublin FD, Metz LM, McFarland HF, O'Connor PW, Sandberg-Wollheim M, Thompson AJ, Weinshenker BG, Wolinsky JS. Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria.” Ann Neurol. 2005;58:840-846.
11. Balcer LJ,
Galetta SL, Calabresi PA, Confavreux C, Giovannoni G, Havrdova E, Hutchinson M, Kappos L, Lublin FD, Miller DH, O'Connor PW, Phillips JT, Polman CH, Radue EW, Rudick RA, Stuart WH, Wajgt A, Weinstock-Guttman B, Wynn DR, Lynn F, Panzara MA. Natalizumab reduces visual loss in patients with relapsing multiple sclerosis. Neurology. 2007;68:1299-1304.
12. Ishikawa H,
Stein DM, Wollstein G, Beaton S, Fujimoto JG, Schuman JS. Macular segmentation with optical coherence tomography. Invest Ophthalmol Vis Sci. 2005;46:2012-2017.
13. Tan O,
Li G, Lu AT, Varma R, Huang D, Advanced Imaging for Glaucoma Study Group. Mapping of macular substructures with optical coherence tomography for glaucoma diagnosis. Ophthalmology. 2008;115:949-956.
14. Tan O,
Chopra V, Lu AT, Schuman JS, Ishikawa H, Wollstein G, Varma R, Huang D. Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography. Ophthalmology. 2009;116:2305-2314.
15. Mayer MA,
Hornegger J, Mardin CY, Tornow RP. Retinal nerve fiber layer segmentation on FD-OCT scans of normal subjects and glaucoma patients. Biomed Opt Express. 2010;1:1358-1383.
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