ArticleTranslational vision science & technology2022
OCT Assisted Quantification of Vitreous Inflammation in Uveitis.
Article in Translational vision science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Biomechanical Vitreous Alterations Detected by Strain Elastography Beyond Conventional B-Mode Ultrasound in Psoriatic Disease.Diagnostics (Basel, Switzerland) · 2026Article
- OCT-Based Evaluation of Vitreous Haze in the First-Line Antimetabolites as Steroid-Sparing Treatment Uveitis Trial.Ophthalmology science · 2026Article
- Quantitative analysis of vitreous changes in intraocular inflammation following faricimab treatment in a real world setting.International journal of retina and vitreous · 2025Article
- Integrated genomics reveals cellular senescence-driven molecular networks and immune crosstalk in myopia pathogenesis.Journal of cell communication and signaling · 2025Article
- Punctate hyperreflective vitreous opacities: a ubiquitous finding in healthy children beyond infancy.Eye (London, England) · 2025Article
- Factors influencing the reliability of measurements in eyes with full-thickness macular holes: are we measuring incorrectly?BMJ open ophthalmology · 2024Observational
- Artificial Intelligence in Uveitis: Innovations in Diagnosis and Therapeutic Strategies.Clinical ophthalmology (Auckland, N.Z.) · 2024Review
- Exploring Vitreous Haze as a Potential Biomarker for Accelerated Glymphatic Outflow and Neurodegeneration in Multiple Sclerosis: A Cross-Sectional Study.Brain sciences · 2023Article
- Semi-automated quantification of vitreal hyperreflective foci in SD-OCT and their relevance in patients with peripheral retinal breaks.BMC ophthalmology · 2023Article
- Article
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Authors and funding
13 authors at 6 institutions in 1 country.
Funding
Abstract
Purpose: Vitreous haze (VH) is a key marker of inflammation in uveitis but limited by its subjectivity. Optical coherence tomography (OCT) has potential as an objective, noninvasive method for quantifying VH. We test the hypotheses that OCT can reliably quantify VH and the measurement is associated with slit-lamp based grading of VH. Methods: In this prospective study, participants underwent three repeated OCT macular scans to evaluate the within-eye reliability of the OCT vitreous intensity (VI). Association between OCT VI and clinical findings (including VH grade, phakic status, visual acuity [VA], anterior chamber cells, and macular thickness) were assessed. Results: One hundred nineteen participants were included (41 healthy participants, 32 patients with uveitis without VH, and 46 patients with uveitis with VH). Within-eye test reliability of OCT VI was high in healthy eyes and in all grades of VH (intraclass correlation coefficient [ICC] > 0.79). Average OCT VI was significantly different between healthy eyes and uveitic eyes without and uveitic eyes with VH, and was associated with increasing clinical VH grade (P < 0.05). OCT VI was significantly associated with VA, whereas clinical VH grading was not. Cataract was also associated with higher OCT VI (P = 0.03). Conclusions: OCT VI is a fast, noninvasive, objective, and automated method for measuring vitreous inflammation. It is associated with clinician grading of vitreous inflammation and VA, however, it can be affected by media opacities. Translational Relevance: OCT imaging for quantifying vitreous inflammation shows high within-eye repeatability and is associated with clinical grading of vitreous haze. OCT measurements are also associated with visual acuity but may be affected by structures anterior to the acquisition window, such as lens opacity and other anterior segment changes.
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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.