Abstract
Purpose
This systematic review aims to identify instrument-based tests for quantifying vitreous inflammation in uveitis, report the test reliability and the level of correlation with clinician grading.
Methods
Studies describing instrument-based tests for detecting vitreous inflammation were identified by searching bibliographic databases and trials registers. Test reliability measures and level of correlation with clinician vitreous haze grading are extracted.
Results
Twelve studies describing ultrasound, optical coherence tomography (OCT), and retinal photography for detecting vitreous inflammation were included: Ultrasound was used for detection of disease features, whereas OCT and retinal photography provided quantifiable measurements. Correlation with clinician grading for OCT was 0.53–0.60 (three studies) and for retinal photography was 0.51 (1 study). Both instruments showed high inter- and intra-observer reliability (>0.70 intraclass correlation and Cohen’s kappa), where reported in four studies.
Conclusion
Retinal photography and OCT are able to detect and measure vitreous inflammation. Both techniques are reliable, automatable, and warrant further evaluation.
Original language | English |
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Pages (from-to) | 137-148 |
Number of pages | 12 |
Journal | Ocular immunology and inflammation |
Volume | 30 |
Issue number | 1 |
Early online date | 6 Oct 2020 |
DOIs | |
Publication status | Published - 2 Jan 2022 |
Bibliographical note
Funding Information:XL and AKD receive a proportion of their funding from the Wellcome Trust, through a Health Improvement Challenge grant (200141/Z/15/Z). AKD and PAK receive a proportion of their funding from the Department of Health’s NIHR Biomedical Research Centre for Ophthalmology at Moorfields Eye Hospital and UCL Institute of Ophthalmology.
Publisher Copyright:
© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.
Keywords
- Systematic review
- uveitis
- vitreous
- vitreous inflammation
- vitritis
- diagnostic test
- optical coherence tomography
- retinal photography
- ultrasound
- imaging