ArticleOphthalmology science2026
OCT Angiography-Based Quantitative Choroidal Vasculature Analysis in Choroidal Melanomas and Nevi.
Article in Ophthalmology science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Optical coherence tomography angiography as non-invasive tool for detection of characteristics patterns in circumscribed choroidal hemangioma.International journal of retina and vitreous · 2026Article
- Automated Longitudinal Quantification of Retinal and Choroidal Vascular Changes After Phacoemulsification.Tomography (Ann Arbor, Mich.) · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Differentiation between choroidal melanoma (CM) and choroidal nevus (CN) is primarily made clinically with the aid of multimodal imaging. Both entities can be distinguished by their vascular architecture in histopathology. OCT angiography (OCT-A) is a noninvasive method to visualize retinal and choroidal vasculature and has rarely been used to differentiate CM and CN, and if so, exclusively descriptively. The purpose of this study was to differentiate both entities via OCT-A using an open-source vascular analysis software (OCTAVA), using quantitative choroidal vasculature analysis. Design: Retrospective case-control study. Subjects: Treatment-naïve patients with CM and CN who obtained OCT-A of the tumor at the University Hospital Essen between November 2022 and December 2024. Methods: Choroidal OCT-A sections were analyzed using an ImageJ-based open-source software (OCTAVA). Main Outcome Measures: To assess the comparison between CM and CN using vessel area density, vessel length density, total vessel length, mean vessel diameter, and tortuosity index. Results: Thirty patients with CM and 30 patients with CN could be included in the study. Choroidal melanoma showed significantly reduced vessel area density (30.46% vs. 37.10%; Conclusions: OCT angiography using open-source software quantitative choroidal vasculature analysis may play a future role in objective differentiation between CM and CN. Future role of OCT-A in multimodal imaging for melanocytic choroidal tumors must, however, be further validated in larger, prospective trials and across different, preferably commercially available OCT platforms. Financial Disclosures: The authors have no proprietary or commercial interest in any materials discussed in this article.
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