ArticleOphthalmology science
Vision-Threatening Diabetic Macular Ischemia Based on Inferred Progression Pathways in OCT Angiography.
Article in Ophthalmology science. 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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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.
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Who cites it
2 citing papers in PubMed.
- Qualitative and Quantitative Assessment of Restored Capillary Perfusion on OCT Angiography in Diabetic Macular Ischemia.Translational vision science & technology · 2026Article
- Exploration of Morphological Characteristics in Diabetic Macular Ischemia Utilizing a Large Language Model-Assisted Knowledge Graph.Ophthalmology science · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To elucidate the progression pathways of diabetic macular ischemia (DMI) using OCT angiography (OCTA) images and to assess changes in visual acuity (VA) associated with each pathway. Design: A single-center, prospective case series study. Participants: One hundred fifty-one eyes from 151 patients with a 3-year follow-up period. Methods: We obtained 3 × 3 mm swept-source OCTA images and conducted analyses of en face images within a central 2.5 mm diameter circle. Nonperfusion squares (NPSs) were defined as 15 × 15-pixel squares without retinal vessels. Each eye at baseline and after 3 years was embedded into a 2-dimensional uniform manifold approximation and projection space and assigned to 1 of 5 severity grades- Main Outcome Measures: Inference of DMI progression pathways. Results: In most cases, NPS counts increased in both the superficial and deep layers. The major transitions between these severity groups at 3 years displayed a unique distribution, and probabilistic analyses suggested a directed graphical model comprising 7 inferred pathways of DMI progression: Conclusions: A directed graphical model of DMI progression may serve as a useful tool for inferring progression pathways and predicting VA deterioration. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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