Literature DB >> 35589321

Choroidal Thickness in Multiple Sclerosis: An Optical Coherence Tomography Study.

Alessandro Masala1,2, Ilaria Di Mola1,2, Maria Cellerino3, Valentina Pera1,2, Aldo Vagge1,2, Antonio Uccelli2,3, Cordano Christian4, Carlo E Traverso1,2, Michele Iester1,5.   

Abstract

BACKGROUND AND
PURPOSE: To identify changes in the choroidal thickness (CT) in multiple sclerosis (MS) patients with and without optic neuritis (ON) using enhanced-depth-imaging optical coherence tomography (EDI-OCT).
METHODS: This cross-sectional study included 96 eyes with MS and 28 eyes of healthy controls. All participants underwent an ophthalmologic examination and EDI-OCT scanning (Spectralis, Heidelberg Engineering, Germany) to assess the CT and the retinal nerve fiber layer (RNFL) thickness. MS patients were divided into two groups: 1) with and 2) without a history of ON. The CT was evaluated in the fovea and at six horizontal and six vertical points at 500, 1,000, and 1,500 µm from the fovea. Paired t-tests were used to compare the groups, and p-value<0.05 was considered as significant.
RESULTS: At all 13 measurements points, the CT was thicker in MS patients than in the healthy controls and was thinner in eyes with ON than in the contralateral eyes, but these differences were not statistically significant. However, the CT was always larger in all points in eyes with a history of ON than in the control eyes. The RNFL was significantly thinner (p<0.05) in both MS and ON eyes than in the control eyes.
CONCLUSIONS: The CT did not differ between MS and control eyes, but it was significantly larger in patients with a history of ON, in whom the RNFL was thinner. Further studies are necessary to establish the possible role of the choroid in MS.
Copyright © 2022 Korean Neurological Association.

Entities:  

Keywords:  choroidal thickness; multiple sclerosis; optic neuritis; optical coherence tomography (OCT)

Year:  2022        PMID: 35589321      PMCID: PMC9163936          DOI: 10.3988/jcn.2022.18.3.334

Source DB:  PubMed          Journal:  J Clin Neurol        ISSN: 1738-6586            Impact factor:   2.566


INTRODUCTION

Multiple sclerosis (MS) is an autoimmune disorder that affects the central nervous system, and is characterized by demyelination and neurodegeneration.12 Studies show that this immune-mediated process leads to vascular dysregulation with a high prevalence of vasospastic factors.3 In its most common presentation, MS is characterized by episodes of neurologic dysfunction and relapses, often followed by the progressive accumulation of disability.45 Several studies of MS patients have identified retinal structural changes using optical coherence tomography (OCT), which is a noninvasive imaging technique used to investigate the retina to assess the retinal nerve fiber layer (RNFL), ganglion cell inner plexiform layer, and inner nuclear layer in patients with or without a clinical history of optic neuritis (ON).67891011121314151617 OCT generates high-resolution images of the retina based on the interference patterns generated by the light reflected by the retinal layers themselves, and can be used to assess the thickness of these layers. Enhanced-depth-imaging (EDI) OCT (EDI-OCT) provides insight into the layers under the retina, and has made it possible to evaluate the aspect of the choroid and its thickness, yielding new research approaches for normal and pathologic choroid processes. A few studies have focused on the choroidal vessels, which could be altered due to the vascular dysregulation associated with MS.181920 The present study aimed to measure the choroidal thickness (CT) values in MS patients with and without a clinical history of ON, and compare them with a healthy control group.

METHODS

This cross-sectional study included MS patients recruited between November 2016 and March 2017. This study protocol was approved by the appropriate IRB (CER liguria: 144/2021) and conducted in accordance with the Declaration of Helsinki. All patients submitted informed consents about free to use of the data obtained for clinical purpose. We included patients with a clinical diagnosis of MS, according to the 2010 McDonald criteria, based on clinical and radiologic findings.21 Exclusion criteria included symptomatic ON during the 2 months before the OCT assessment, systemic hypertension, diabetes mellitus, other cardiovascular diseases, high myopia or hyperopia with a spherical-equivalent refractive error of >5 or <-5 diopters (D), any retinal or neuro-ophthalmologic disease, a history of intraocular surgery, clinically relevant opacities of the optical media, or low-quality images due to unstable fixation or the presence of a severe cataract. Patients underwent a complete neurologic assessment and a comprehensive evaluation of physical disability using the Kurtzke Expanded Disability Status Scale (EDSS).22 Disease duration was defined as the time from the first MS symptom. The MS patients only included those with a history of unilateral ON or without ON. The entire MS group was then divided into two subgroups: 1) with and 2) without a history of ON. Patients included in the study did not have any other systemic comorbidity. The healthy controls were clinic outpatients who had no previous eye disease history, intraocular surgery, glaucomatous optic neuropathy, or history of MS. All of the patients and controls underwent a comprehensive ocular examination, including autorefractometry, best-corrected visual acuity measurement with Snellen lines, slit-lamp biomicroscopy, intraocular pressure (IOP) measurement, and fundus examination.

EDI-OCT examination

A single experienced user who was blinded to the clinical diagnosis of the patients performed the EDI-OCT examinations. All subjects were examined with undilated pupils using an EDI system for multimodality diagnostic imaging (wavelength of 870 nm and an EDI scan pattern; Spectralis HRA+OCT, Heidelberg Engineering, Heidelberg, Germany). Each image represented an average of 100 scans performed using the automatic averaging and eye-tracking features. The macular CT values were measured by selecting horizontal and vertical sections going directly through the center of the fovea. The resultant images were viewed and measured with the supplied Heidelberg Eye Explorer software (version 1.5.12.0, Heidelberg Engineering). The methods used to acquire the images have been reported previously.23 Two macular line scans (one horizontal and one vertical) were performed in each eye (Fig. 1), and a circle scan around the optic nerve was used to evaluate the peripapillary RNFL (Fig. 2). The CT was measured manually from the outer portion of the hyperreflective line corresponding to the retinal pigment epithelium to the sclera’s inner surface. The CT was manually measured at the fovea (subfoveal area), as well as at 500, 1,000, and 1,500 µm from the fovea vertically (superiorly and inferiorly) and horizontally (temporally and nasally). The choroid was measured by two independent graders (A.M. and V.P.) who were blinded to the diagnosis. If the difference in CT between the two graders was greater than 15% of the mean of the two values, open adjudication was performed with another observer (M.I.). The values of the measurements were compared for each observer and then averaged for analysis. The images were obtained with the best visualization of the border between the choroid and the sclera, known as the choroidal-scleral interface (CSI). If the CSI was not identifiable in the image, additional images were obtained to have the best possible view of the CSI (Fig. 1). The peripapillary RNFL were analyzed globally and in six sectors: nasal, nasal superior, temporal superior, temporal, temporal inferior, and nasal inferior.
Fig. 1

Horizontal (A) and vertical (B) macular and choroidal scans with thickness measurements in a right eye. The green line is manually positioned on the fovea, and the yellow lines indicate measurements of the choroidal thickness.

Fig. 2

Optical coherence tomography (OCT) print-out. Peripapillary retinal nerve fiber layer (RNFL) thickness measured by optical coherence tomography in a healthy control (A) and a multiple sclerosis patient (B). In both images there is a fundus photo with a green circle which indicates where the measurements have been done (up left); the long image shows an OCT scan of the retina structure along the green circle (up right); in the circle thre are the mean values of the RNFL calculated for six sector and globally together with a statistical classification (image A: within normal limits, image B: below normal limits) (down left); the long coloured image is the peripapillary RNFL thickness profile (down right). The three colour rappresent the normal limit of the measurements (green), the borderline (yellow) and the below normal limits (red). I (INF), inferior; N (NAS), nasal; NI, nasal inferior; NS, nasal superior; N/T, nasal temporal ratio; PMB, papillary-macular bundle; S (SUP), superior; T (TMP), temporal; TI, temporal inferior; TS, temporal-superior.

Statistical analysis

Statistical analyses were performed using the SPSS statistical software package (IBM SPSS Statistics version 21, IBM, Armonk, NY, USA). The entire group was divided into two subgroups: 1) healthy control group and 2) patients with MS. The latter subgroup was split into patients 1) with a history of ON (ON group) and 2) without a history of ON (non-ON group). Furthermore, to better analyze the effect of ON on the choroid, MS patients with a monolateral ON history were selected and compared with their contralateral non-ON eyes and with the healthy control group. Descriptive analysis was used to obtain the mean±standard deviation values of all included parameters, and paired t-tests were used to compare the groups, with a p value <0.05 considered significant.

RESULTS

The 62 subjects examined were divided into 2 groups: 48 MS patients (33 females and 15 males) and 14 healthy controls (9 females and 5 males). The age in the MS group ranged from 22 to 69 years (45±12 years), and that in the control group was from 23 to 55 years (38±12 years). The refractive error was -2.25±1.74 D in the MS group and -1.78±3.39 D in the control group. The MS group comprised 39 patients with relapsing-remitting MS, 7 with secondary progressive MS, and 2 with primary progressive MS. The mean duration of the pathology was 11.8 years, and the EDSS score was 3±2. The MS group (n=96 eyes) was split into 2 subgroups on the basis of ON history: 25 eyes in the ON group and 71 eyes in the non-ON group. Furthermore, in the ON group, patients with a monocular ON history were selected (n=17 eyes), and the ON eye was compared both with the contralateral eye and with the healthy control group. At all of the measured points, the mean subfoveal CT was thicker in MS patients than in the control group (338 µm vs. 313 µm), but these differences were not statistically significant (Table 1). A similar tendency in the CT was present at 500, 1,000, and 1,500 µm from the fovea both vertically and horizontally. The subfoveal CT was measured twice during the vertical and horizontal scans, which produced the same CT values (Table 1).
Table 1

Comparison between healthy controls and multiple sclerosis (MS) patients

Healthy eyes (1) (n=28)MS eyes (2) (n=96)t-test (1 vs. 2) p Non-ON MS eyes (3) (n=71)t-test (1 vs. 3) p ON MS eyes (4) (n=25)t-test (1 vs. 4) p t-test (3 vs. 4) p
Visual acuity (letters)82.06±5.2675.16±15.911.710.08978.10±11.881.30.19767.04±22.07-2.660.011*-3.120.002*
Hsubfoveal (μm)312.54±74.45337.65±90.29-1.340.182331.01±89.18-0.970.334356.48±92.611.910.0611.220.227
Hnasal 500 (μm)297.00±75.97320.66±85.00-1.330.187313.83±85.42-0.9120.364339.92±82.431.970.0541.320.189
Hnasal 1,000 (μm)281.07±80.78303.91±83.99-1.280.204298.92±86.02-0.9450.347318.08±77.821.690.0960.980.329
Hnasal 1,500 (μm)253.75±81.62279.46±84.58-1.430.156273.96±87.24-1.0560.293295.08±75.991.900.0631.080.285
Htemporal 500 (μm)313.39±75.09327.96±90.04-0.780.437321.39±88.03-0.4240.673346.60±94.851.420.1621.210.231
Htemporal 1,000 (μm)301.18±73.24323.91±90.87-1.210.228319.82±87.59-0.9960.322335.52±100.591.430.1580.740.460
Htemporal 1,500 (μm)293.39±70.88314.85±85.15-1.220.227311.04±78.81-1.0310.305325.68±102.061.350.1830.740.463
Vsubfoveal (μm)313.29±69.22338.42±84.78-1.430.154335.52±84.74-1.2340.22346.64±86.101.560.1250.560.576
Vsup 500 (μm)308.96±66.07332.09±79.85-1.400.165328.21±80.46-1.1240.264343.12±78.641.720.0920.800.425
Vsup 1,000 (μm)305.46±67.80323.73±80.12-1.100.275317.49±81.04-0.6950.489341.44±76.241.820.0751.290.200
Vsup 1,500 (μm)311.43±67.18323.38±77.14-0.740.460318.11±77.74-0.40.69338.32±74.921.380.1741.130.262
Vinf 500 (μm)312.46±71.22324.59±84.63-0.690.492322.60±82.23-0.5740.567330.20±92.640.790.4350.380.702
Vinf 1,000 (μm)303.29±78.47310.92±88.67-0.410.682306.82±83.67-0.1920.848322.56±102.520.770.4430.760.448
Vinf 1,500 (μm)305.43±70.88304.17±86.010.070.944299.06±80.460.3660.715318.68±100.510.560.5780.980.329
Global RNFL (μm)107.46±9.7490.94±16.964.66<0.001*96.36±13.493.676<0.001*78.11±17.73-7.12<0.001*-4.49<0.001*
Temp RNFL (μm)79.00±15.0759.97±17.724.81<0.001*65.56±16.493.4130.001*46.74±13.11-7.48<0.001*-4.41<0.001*
Sup-temp RNFL (μm)149.73±23.53130.95±25.303.250.002*139.62±19.661.9410.056110.42±25.75-5.32<0.001*-4.94<0.001*
Sup-nas RNFL (μm)115.92±22.83103.66±23.672.250.027*107.62±22.311.4980.13994.26±24.74-3.040.004*-2.120.038*
Nas RNFL (μm)74.39±12.1167.08±16.972.000.049*70.71±14.731.0780.28558.47±19.15-3.410.001*-2.770.007*
Inf-nas RNFL (μm)121.89±17.41103.77±22.863.63<0.001*106.80±21.473.0470.003*96.58±24.99-4.01<0.001*-1.660.103
Inf-temp RNFL (μm)164.65±13.89136.89±30.014.51<0.001*146.82±23.013.5860.001*113.37±32.05-7.30<0.001*-4.71<0.001*

Values are presented as mean±standard deviation unless otherwise indicated. Paired t-test is used to compare the groups. Choroidal thickness (CT) was measured at the fovea in horizontal measurements (Hsubfoveal), then at 500, 1,000, and 1,500 mm in the nasal (Hnasal) and temporal (Htemporal) parts; CT was measured at the fovea in vertical measurements (Vsubfoveal), then at 500, 1,000, and 1,500 mm in the superior (Vsup) and inferior (Vinf) parts.

*Indicates significant differences.

inf, inferior; nas, nasal; ON, optic neuritis; RNFL, retinal nerve fiber layer; SD, standard deviation; sup, superior; temp, temporal.

The CT did not differ significantly between healthy eyes and either the ON or non-ON group (Table 1). All of the measurements showed that CT was thicker in MS patients than in the control group. However, in the monocular ON subgroup, when each eye with ON history was compared with the contralateral one, the CT was thinner in the ON eye than in the contralateral eye, but the difference was not statistically significant (p>0.05) (Table 2). A similar tendency was present at 500, 1,000, and 1,500 µm from the fovea both vertically and horizontally. In contrast, when these eyes with an ON history were compared with the healthy control group for both CT and RNFL thickness (Table 2), significant differences (p<0.001) were found. In particular, the RNFL was thinner in MS patients than in the controls in all sectors (global: 91 µm vs. 107 µm) (Table 1), and the RNFL was also significantly thinner (p<0.05) in ON eyes than in healthy control eyes (Tables 1 and 2) in all but one of the sectors. The same tendency was found between the ON and non-ON groups: patients with a history of ON had a thinner RNFL, with the difference being significant in the three temporal sectors.
Table 2

Comparison between eyes in monocular ON multiple sclerosis (MS) patients and healthy controls

Monolateral ON eyes (n=17)Contralateral eyes (n=17)t-test (ON vs. Contralateral) p Healthy eyes (n=28)t-test (ON vs. Healthy) p
Visual acuity (letters)72.47±22.4378.18±19.32-0.800.43382.06±5.261.670.106
Hsubfoveal (μm)394.94±86.29401.53±98.83-0.210.837312.54±74.45-3.390.002*
Hnasal 500 (μm)376.06±74.75382.06±90.41-0.210.834297.00±75.97-3.410.001*
Hnasal 1,000 (μm)351.71±69.47368.88±82.15-0.660.515281.07±80.78-2.990.005*
Hnasal 1,500 (μm)323.35±72.21341.35±78.35-0.700.491253.75±81.62-2.890.006*
Htemporal 500 (μm)385.06±88.48396.53±97.31-0.360.722313.39±75.09-2.900.006*
Htemporal 1,000 (μm)377.24±89.40399.71±106.77-0.670.511301.18±73.24-3.110.003*
Htemporal 1,500 (μm)368.35±89.83377.71±98.65-0.290.774293.39±70.88-3.110.003*
Vsubfoveal (μm)382.12±80.84392.88±87.63-0.370.712313.29±69.22-3.040.004*
Vsup 500 (μm)373.77±76.96382.12±83.71-0.300.764308.96±66.07-3.000.005*
Vsup 1,000 (μm)370.24±75.62373.77±86.58-0.130.900305.46±67.80-2.980.005*
Vsup 1,500 (μm)364.41±76.86365.65±85.05-0.040.965311.43±67.18-2.430.019*
Vinf 500 (μm)369.47±82.84388.71±86.00-0.660.511312.46±71.22-2.450.019*
Vinf 1,000 (μm)362.94±93.23371.53±82.77-0.280.778303.29±78.47-2.300.026*
Vinf 1,500 (μm)357.35±91.73356.88±79.090.020.987305.43±70.88-2.130.039*
Global RNFL (μm)84.77±14.6994.39±15.27-1.640.115107.46±9.745.77<0.001*
Temp RNFL (μm)50.46±13.4157.00±14.67-1.190.24779.00±15.075.77<0.001*
Sup-temp RNFL (μm)120.62±20.45138.00±21.57-2.110.046149.73±23.533.800.001*
Sup-nas RNFL (μm)101.15±21.85108.69±19.63-0.930.364115.92±22.831.930.061*
Nas RNFL (μm)63.92±16.2170.54±14.88-1.080.28974.39±12.112.270.029*
Inf-nas RNFL (μm)102.92±22.38111.62±24.82-0.940.358121.89±17.412.910.006*
Inf-temp RNFL (μm)124.85±31.75143.23±25.69-1.620.118164.65±13.895.48<0.001*

Values are presented as mean±standard deviation unless otherwise indicated. Paired t-test is used to compare the groups.

*Indicates significant differences.

inf, inferior; nas, nasal; ON, optic neuritis; RNFL, retinal nerve fiber layer; sup, superior; temp, temporal.

DISCUSSION

Since the choroid is a dynamic vascular structure, the CT might represent its vascularity. The CT can change due to several factors, such as age, IOP, blood pressure, refractive errors, and axial length.2425 The role of vascular dysregulation in MS is still unclear.26 Blood flow changes in patients affected by MS have been detected by color Doppler ultrasonography, especially when an episode of ON has occurred.27 However, few studies have evaluated the condition of the choroid in these patients. Esen et al.28 used OCT to assess the CT of patients with MS and healthy controls, and observed significant thinning of the vascular layer in the MS patients. Similar findings were obtained using swept-source OCT, with vascular thinning found in MS patients both in the macular and peripapillary areas of the choroid.2930 Doğan et al.6 found no meaningful difference in the CT between patients with MS and healthy controls. However, they found that the CT was larger in patients with ON than in non-ON patients, suggesting that the choroidal layer could be altered due to the inflammation induced by the disease. Also, Yuksel et al.31 found an increased CT in MS patients. The present study applied EDI-OCT to MS patients with and without a clinical history of ON and also to age-matched healthy controls to identify any differences in CT. No significant difference was found between MS patients and healthy controls, or between ON and non-ON MS patients. Nevertheless, there was a tendency for a significant difference in CT measurements between ON MS patients and healthy controls. The CT was always larger in MS patients with ON than in both MS patients without ON and healthy controls (Table 1). These data reflect the possible role of inflammation in the physiopathology of axonal damage and choroid vascular alterations. A correlation between alterations in the CT and systemic inflammatory diseases has been reported previously,3233 suggesting that the choroid is influenced by inflammation; however, the results were contradictory even in these studies. Several studies have already identified a strong correlation between the neurodegenerative damage induced by MS and the thinning of the RNFL in patients affected by MS. In particular, a significant reduction in the RNFL thickness has been found in patients affected by MS relative to healthy controls.10 The present study found that subjects affected by MS had a significantly thinner (p<0.05) RNFL than did age-matched healthy controls (Tables 1 and 2). Furthermore, MS patients with a clinical history of ON had an even thinner RNFL than those without direct involvement of the optic nerve. Our findings are therefore consistent with the previous studies, reaffirming the value of using OCT to measure the RNFL thickness as a useful marker of MS progression both in patients with clinical and with subclinical retinal damage. Huang-Link et al.11 showed that even in so-called benign MS, patients without a history of ON can present thinning of the RNFL and the macular ganglion cell layer. Garcia-Martin et al.34 found that OCT could detect changes in the average thickness of the RNFL when there were no changes in visual acuity, color vision, or visual fields, showing that OCT of the RNFL can detect subclinical neurodegenerative damage. Moreover, they identified a correlation between increased EDSS score and thinning of the RNFL in its temporal and superior quadrants. Magnetic resonance imaging (MRI) represents the standard examination method for following up MS patients. Even though MRI is a very accurate method for detecting cerebral atrophy, its restricted availability, high cost, and presence of confounders (e.g., hydration status, inflammation) remain essential limitations explaining why MRI is not an ideal examination method. Several studies in recent years have highlighted the potential key role of OCT as a complementary examination method to MRI for assessing MS progression.35 Furthermore, the CT could be a new parameter to follow, since it can be examined noninvasively and is easy to measure in almost all patients except those with a lack of fixation or involuntary eye movements. Considering that the eye is the only body location where the condition of axons can be observed directly and noninvasively, monitoring the thinning of the RNFL could allow clinicians to follow the evolution of neurodegeneration in patients. We acknowledge some limitations of this study. First, the relatively small study population may have restricted the ability to detect significant differences in some of the investigated parameters. Second, there was a discrepancy between the numbers of MS patients and healthy controls. Third, the CT was measured in the macular area but not in the peripapillary area. Fourth, the choroid measurements were made manually, which could have affected their accuracy. This could be improved in the future by using an automated measurement system. Notwithstanding the above limitations, our study also had some significant strengths. Although it was not significant, the CT was always larger in the MS patients than in the healthy controls. The CT difference was significant in the MS patients with a monolateral ON history, confirming the presence of RNFL thinning in MS patients and more so in the ON patients. In conclusion, the data reported here confirm the role of RNFL evaluations as a biomarker for neurodegeneration in MS and its value as a complementary examination to MRI in following up these patients. Furthermore, changes in the CT have been identified in MS, suggesting that they play a role in systemic inflammatory pathogenesis. However, it needs to be remembered that these CT differences obtained in the present and previous studies could be caused by the dynamic nature of these vessels, which can vary with the age, sex, systemic conditions, and axial length of the eyes of individual patients.36 Also, Green et al.37 suggested that OCT could help physician to distinguish inflammation from tissue atrophy in MS patients. Future studies need to clarify the nature and meaning of these modifications.
  36 in total

1.  Choroidal thickness in the subtypes of angle closure: an EDI-OCT study.

Authors:  Wenbin Huang; Wei Wang; Xinbo Gao; Xingyi Li; Zheng Li; Minwen Zhou; Shida Chen; Xiulan Zhang
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-12-02       Impact factor: 4.799

2.  Changes in peripapillary choroidal thickness in patients with multiple sclerosis.

Authors:  Elena Garcia-Martin; Laura Jarauta; Luis E Pablo; Maria P Bambo; Jose R Ara; Jesus Martin; Vicente Polo; Jose M Larrosa; Elisa Vilades; Teresa Ramirez; Maria Satue
Journal:  Acta Ophthalmol       Date:  2018-09-21       Impact factor: 3.761

3.  Retinal thickness measured with optical coherence tomography and risk of disability worsening in multiple sclerosis: a cohort study.

Authors:  Elena H Martinez-Lapiscina; Sam Arnow; James A Wilson; Shiv Saidha; Jana Lizrova Preiningerova; Timm Oberwahrenbrock; Alexander U Brandt; Luis E Pablo; Simone Guerrieri; Ines Gonzalez; Olivier Outteryck; Ann-Kristin Mueller; Phillip Albrecht; Wesley Chan; Sebastian Lukas; Lisanne J Balk; Clare Fraser; Jette L Frederiksen; Jennifer Resto; Teresa Frohman; Christian Cordano; Irati Zubizarreta; Magi Andorra; Bernardo Sanchez-Dalmau; Albert Saiz; Robert Bermel; Alexander Klistorner; Axel Petzold; Sven Schippling; Fiona Costello; Orhan Aktas; Patrick Vermersch; Celia Oreja-Guevara; Giancarlo Comi; Letizia Leocani; Elena Garcia-Martin; Friedemann Paul; Eva Havrdova; Elliot Frohman; Laura J Balcer; Ari J Green; Peter A Calabresi; Pablo Villoslada
Journal:  Lancet Neurol       Date:  2016-03-18       Impact factor: 44.182

Review 4.  Optical coherence tomography: A quantitative tool to measure neurodegeneration and facilitate testing of novel treatments for tissue protection in multiple sclerosis.

Authors:  Eliza Gordon-Lipkin; Peter A Calabresi
Journal:  J Neuroimmunol       Date:  2016-12-14       Impact factor: 3.478

Review 5.  Vasospasm, its role in the pathogenesis of diseases with particular reference to the eye.

Authors:  J Flammer; M Pache; T Resink
Journal:  Prog Retin Eye Res       Date:  2001-05       Impact factor: 21.198

6.  Retinal nerve fibre layer measurements and optic nerve head analysis in multiple sclerosis patients.

Authors:  M Iester; F Cioli; A Uccelli; M Papadia; F Bandini; G L Mancardi; G A Calabria
Journal:  Eye (Lond)       Date:  2007-11-09       Impact factor: 3.775

7.  Extraocular blood flow and endothelin-1 plasma levels in patients with multiple sclerosis.

Authors:  Mona Pache; Hedwig J Kaiser; Nino Akhalbedashvili; Carmen Lienert; Barbara Dubler; Ludwig Kappos; Josef Flammer
Journal:  Eur Neurol       Date:  2003       Impact factor: 1.710

8.  Assessment of blood flow velocity in eyeball arteries in multiple sclerosis patients with past retrobulbar optic neuritis in color Doppler ultrasonography.

Authors:  Monika Modrzejewska; Danuta Karczewicz; Grazyna Wilk
Journal:  Klin Oczna       Date:  2007

9.  The relation between inflammation and neurodegeneration in multiple sclerosis brains.

Authors:  Josa M Frischer; Stephan Bramow; Assunta Dal-Bianco; Claudia F Lucchinetti; Helmut Rauschka; Manfred Schmidbauer; Henning Laursen; Per Soelberg Sorensen; Hans Lassmann
Journal:  Brain       Date:  2009-03-31       Impact factor: 13.501

10.  Imaging correlates of visual function in multiple sclerosis.

Authors:  Eduardo Caverzasi; Christian Cordano; Alyssa H Zhu; Chao Zhao; Antje Bischof; Gina Kirkish; Daniel J Bennett; Michael Devereux; Nicholas Baker; Justin Inman; Hao H Yiu; Nico Papinutto; Jeffrey M Gelfand; Bruce A C Cree; Stephen L Hauser; Roland G Henry; Ari J Green
Journal:  PLoS One       Date:  2020-08-03       Impact factor: 3.240

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