Journals / BEYOGLU EYE JOURNAL / 2020 / Cilt: 5 - Sayı: 2

Inner Retinal Layer Disease: Multiple Sclerosis

Pages
93–101
DOI
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⚡ TL;DR(Too Long; Didn't Read)

Conclusion: This study demonstrated that MS affects retinal layer thickness, and particularly the inner retinal layers.

📌 3 Key Takeaways

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Objective & Hypothesis:Objectives: This study was an analysis of the retinal layer thickness in multiple sclerosis (MS) patients using spectral-domain optical coherence tomography (SD-OCT).
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Key Findings & Data:Methods: A total of 42 patients diagnosed in the neurology clinic with MS according to the McDonald Criteria and 21 healthy individuals were included in the study and 4 groups were created.
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Conclusion & Impact:Conclusion: This study demonstrated that MS affects retinal layer thickness, and particularly the inner retinal layers.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

Objectives: This study was an analysis of the retinal layer thickness in multiple sclerosis (MS) patients using spectral-domain optical coherence tomography (SD-OCT). Methods: A total of 42 patients diagnosed in the neurology clinic with MS according to the McDonald Criteria and 21 healthy individuals were included in the study and 4 groups were created. The first group comprised 21 eyes of 21 MS patients without eye involvement, the second group was made up of 21 eyes of 21 MS patients with a history of optic neuritis, the third group included the other eye of patients in the second group without a history of optic neuritis, and the fourth group was a control group of 21 eyes of 21 healthy individuals. SD-OCT was used to visualize and measure the retinal layers and the thickness was analyzed using the device software. Results: The mean age of the patient groups was 35.39±7.52 years, while it was 32.86±2.60 years in the control group. The mean duration of the disease was 9.81±6.65 years with a mean of 4.84±2.38 attacks. The ganglion cell layer (GCL) and the inner plexiform layer (IPL) of all of the patients were thinner compared with the control group in the parafoveal and perifoveal areas. All regions of the retinal nerve fiber layer (RNFL) of patients in the second group were thinner than those of the control group. The RNFL, GCL, and IPL in the central, parafoveal and perifoveal macular rings in group 3 were thinner than the group 1 measurements; however, this difference was not statistically significant. Although the RNFL, GCL, and IPL layer thicknesses were lower in group 2 than group 3, only the difference in the parafoveal GCL thickness was statistically significant. Conclusion: This study demonstrated that MS affects retinal layer thickness, and particularly the inner retinal layers.

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Cite This Article

SABANER, M. C., DUMAN, R., MD, R. D., CETİNKAYA, E., YILDIZ, K. Y., DEMİRBAS, H. (2020). Inner Retinal Layer Disease: Multiple Sclerosis. BEYOGLU EYE JOURNAL, Cilt: 5 - Sayı: 2, 93–101. https://ajindex.com/articles/142628

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References (13)

  1. Krieger SC, Cook K, De Nino S, Fletcher M. The topographical model of multiple sclerosis: A dynamic visualization of disease course. Neurol Neuroimmunol Neuroinflamm 2016;3:e279
  2. Börü UT, Taşdemir M, Güler N, Ayık ED, Kumaş A, Yıldırım S, et al. Prevalence of multiple sclerosis: door-to-door survey in three rural areas of coastal Black Sea regions of Turkey. Neuroepidemiology 2011;37:231–5
  3. Azevedo CJ, Overton E, Khadka S, Buckley J, Liu S, Sampat M, et al. Early CNS neurodegeneration in radiologically isolated syndrome. Neurol Neuroimmunol Neuroinflamm 2015;2:e102
  4. Pawlitzki M, Neumann J, Kaufmann J, Heidel J, Stadler E, Sweeney-Reed C, et al. Loss of corticospinal tract integrity in early MS disease stages. Neurol Neuroimmunol Neuroinflamm 2017;4:e399
  5. Alcaide-Leon P, Cybulsky K, Sankar S, Casserly C, Leung G, Hohol M, et al. Quantitative spinal cord MRI in radiologically isolated syndrome. Neurol Neuroimmunol Neuroinflamm 2018;5:e436
  6. McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, Lublin FD, et al. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the Diagnosis of Multiple Sclerosis. Ann Neurol 2001;50:121–7
  7. Polman CH, Reingold SC, Edan G, Filippi M, Hartung HP, Kappos L, et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”. Ann Neurol 2005;58:840–6
  8. Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011;69:292–302
  9. Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 2018;17:162–73. 10. de Sa JC, Airas L, Bartholome E, Grigoriadis N, Mattle H, Oreja-Guevara C, et al. Symptomatic therapy in multiple sclerosis: a review for a multimodal approach in clinical practice. Ther Adv Neurol Disord 2011;4:139–68
  10. Huang D, Swanson EA, Lin CP, Schuman JS, Stinson WG, Chang W, et al. Optical coherence tomography. Science 1991;254:1178–81
  11. Özdemir H, Arf S, Karaçorlu M. Maküla Hastalıklarında Optik Koherans Tomografi. İstanbul: Güneş Tıp Kitapevleri; 2015. p. 3–21
  12. Kanski J, Bowling B. Neuro-ophthalmology. In: Bowling B, editor. Clinical ophthalmology: Systematic approach. 8th ed. Elsevier; 2016. p. 774–848
  13. Oberwahrenbrock T, Traber GL, Lukas S, Gabilondo I, Nolan R, Songster C, et al. Multicenter relia