ArticleOphthalmology science2026
Visual Field Estimation in X-Linked Retinitis Pigmentosa Associated with Retinitis Pigmentosa GTPase Regulator (
Article in Ophthalmology science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: To develop an efficient approach to estimating visual field (VF) in patients with X-linked retinitis pigmentosa (RP) based on macular OCT scans. Design: Retrospective analysis of patients who were enrolled in a natural history study at Moorfields Eye Hospital (London, United Kingdom). Subjects: Male patients with genetically confirmed retinitis pigmentosa GTPase regulator ( Methods: Visual field raw data were exported and analyzed including Visual Field Modeling and Analysis software. Retinal imaging consisted of OCT macular scans. Paired imaging and VF data acquired within a 1-month range were jointly analyzed. Artificial intelligence (AI) was used to automatically segment and quantify macular ellipsoid zone width (EZW), and ellipsoid zone area (EZA). Main Outcome Measures: Functional parameters from static VF testing such as mean sensitivity (MS) and Hill of Vision analysis that included total volume (V Results: Patient age ranged from 5 to 55 years old at baseline. A total of 332 OCT-VF pairs were analyzed. Ellipsoid zone area had the highest conditional R Conclusions: This study showed that AI enables efficient acquiring of large amounts of structural OCT parameters, facilitating research and structure-function predictions. The cohort included patients with a wide range of disease severity and statistical significance was achieved with parameters representing a wide range of VF, proving that this method can be applied for patients with milder disease. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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