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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 -tests were used to compare the groups, and -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 (<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.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163936 | PMC |
http://dx.doi.org/10.3988/jcn.2022.18.3.334 | DOI Listing |
Retin Cases Brief Rep
September 2025
Retinal Disorders and Ophthalmic Genetics Division, Stein Eye Institute, University of California of Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, United States.
Purpose: To describe a case of recalcitrant bilateral peripapillary pachychoroid syndrome (PPS) treated with high-dose (HD) intravitreal aflibercept injections.
Methods: Medical and imaging records were retrospectively evaluated. Multimodal imaging included ultra-widefield indocyanine green and fluorescein angiography and fundus autofluorescence.
Eye (Lond)
September 2025
Kim's Eye Hospital, Konyang University College of Medicine, Seoul, South Korea.
Objective: To compare the effectiveness of intravitreal faricimab and aflibercept injections in patients with polypoidal choroidal vasculopathy (PCV).
Methods: This retrospective study analysed 111 treatment-naïve eyes (111 patients) with PCV who received intravitreal injections of either faricimab (30 eyes) or aflibercept (81 eyes). All patients were treated with three initial monthly loading injections.
Retina
September 2025
Ulucanlar Eye Training and Research Hospital, Retina Clinic of Ophthalmology Department, Ankara, Turkey.
Purpose: To compare the clinical features, multimodal imaging characteristics, and treatment outcomes of primary and secondary large retinal capillary aneurysms (LRCA).
Methods: A total of 34 eyes were included: seven with primary LRCA and 27 with secondary LRCA. All patients underwent fundus photography, optical coherence tomography (OCT), and fundus fluorescein angiography.
Menopause
September 2025
Department of Obstetrics and Gynecology, Gaziantep University School of Medicine, Gaziantep, Turkey.
Objective: Our study aimed to compare premenopausal and postmenopausal women in terms of choroidal thickness and choroidal vascularity index.
Methods: This cross-sectional study included 96 eyes of 96 participants, comprising 48 premenopausal and 48 postmenopausal women. Enhanced depth image optical coherence tomography (EDI-OCT) was used to visualize the choroid.
Invest Ophthalmol Vis Sci
September 2025
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Purpose: The purpose of this study was to investigate the focal relationship between choroidal thickness and retinal sensitivity in myopic eyes.
Methods: Participants underwent swept-source optical coherence tomography (SS-OCT) imaging and microperimetry testing. Choroidal thicknesses were obtained by segmenting the SS-OCT scans using a deep-learning approach.