ArticleInvestigative ophthalmology & visual science2025
OCT-Based Retina Assessment Reflects Visual Impairment in Multiple Sclerosis.
Article in Investigative ophthalmology & visual science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Fifteen-Year Longitudinal Changes in Peripapillary Retinal Nerve Fiber Layer Thickness in Multiple Sclerosis.Journal of clinical medicine · 2026Article
- Optical Coherence Tomography Angiography Findings in Primary Progressive Multiple Sclerosis Patients Receiving Ocrelizumab Treatment.Diagnostics (Basel, Switzerland) · 2026Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To explore the relationship between visual performance and retinal morphology as assessed by optical coherence tomography (OCT), and the ability of OCT to reflect visual impairment in people with multiple sclerosis (PwMS) compared with healthy controls (HC). Methods: We gathered data from two neurology referral centers on PwMS and HC. Neurological and ophthalmological assessments, including OCT, high-contrast visual acuity (HCVA) and low-contrast visual acuity (LCVA), area under the log contrast sensitivity function (AULCSF), and vision-related quality of life (National Eye Institute Visual Function Questionnaire), were conducted between 2018 and 2020, with follow-up at 1 year. Results: A total of 137 PwMS (271 eyes) and 118 HC (236 eyes) were available for analysis. The peripapillary retinal nerve fiber layer (pRNFL) and the macular ganglion cell layer and inner plexiform layer volume (mGCIPL) volume were both reduced in PwMS (92 µm in PwMS vs 98 µm in HC [P < 0.001], 0.55 mm3 vs 0.62 mm3 [P < 0.001], respectively). A cutoff effect for visual impairment was observed in PwMS when pRNFL fell below 68.8 µm (HCVA), 71.4 µm (LCVA), and 72.6 µm (AULCSF). Using mixed effects models, the mGCIPL volume emerged as the variable most strongly associated with the AULCSF (P < 0.001). The AULCSF showed the strongest correlation with both pRNFL and mGCIPL (P < 0.001), with optic neuritis being a significant contributing factor (P < 0.001). Conclusions: AULCSF outperformed standard HCVA and LCVA, closely reflecting retinal atrophy. mGCIPL loss showed stronger associations with vision tests and detected neurodegeneration without the cutoff effect seen in pRNFL, making it the best marker for neuronal atrophy.
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