ReviewDiagnostics (Basel, Switzerland)2025
Retinal Thickness Analysis Using Optical Coherence Tomography: Diagnostic and Monitoring Applications in Retinal Diseases.
Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multimodal artificial intelligence in retinal vascular and neovascular macular diseases: a systematic review of diagnostic and prognostic applications.BMC ophthalmology · 2025Pooled it
- Safety of Long-Acting Intravitreal Hydrogels: A Comprehensive Evaluation of Intraocular Pressure and Retinal Integrity across Rabbit and Non-Human Primate Models.ACS pharmacology & translational science · 2026Review
- The Eye as a Window to Neurodegeneration: Oxidative Stress, Optic Nerve Vulnerability, and Retinal Biomarkers-A Scoping Review.Antioxidants (Basel, Switzerland) · 2026Review
- Short term real-world effectiveness of faricimab in neovascular age-related macular degeneration patients in the Republic of Korea.Scientific reports · 2026Article
- Quantitative assessment of subfoveal choroidal thickness, retinal thickness, and choroidal vascularity index after upper eyelid blepharoplasty.International ophthalmology · 2026Article
- NICE-Informed Quality Improvement for Neovascular Age-Related Macular Degeneration: A Single-Centre Two-Cycle Audit of the Two-week Referral-to-Injection Standard.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- NeoNet: A Novel Deep Learning Model for Retinal Disease Diagnosis and Localization.Sensors (Basel, Switzerland) · 2025Article
- Predictive Factors for Macular Atrophy in Patients with Treated Myopic Macular Neovascularization.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retinal thickness analysis using optical coherence tomography (OCT) has become an indispensable tool in retinal disease management, providing high-resolution quantitative data for diagnosis, monitoring, and treatment planning. This analysis has been found to be particularly useful for both diagnostic and monitoring purposes across a wide range of retinal diseases, enabling precise disease characterization and treatment evaluation. This paper explores its applications across major retinal conditions, including age-related macular degeneration, diabetic retinopathy, retinal vein occlusion, and inherited retinal diseases. Emerging roles in other diseases such as neurodegenerative diseases and retinal drug toxicity are also highlighted. Despite challenges such as variability in measurements, segmentation errors, and interpretation difficulties, advancements in artificial intelligence and machine learning have significantly improved accuracy and efficiency. The integration of retinal thickness analysis with telemedicine platforms and standardized protocols further underscores its potential in delivering personalized care and enabling the early detection of ocular and systemic diseases. Retinal thickness analysis continues to play a pivotal and growing role in both clinical practice and research, bridging the gap between ophthalmology and broader medical fields.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.