ArticleTranslational vision science & technology2021
Variability of Retinal Vessel Tortuosity Measurements Using a Semiautomated Method Applied to Fundus Images in Subjects With Papilledema.
Article in Translational vision science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Association of papilledema severity with retinal vessel tortuosity in idiopathic intracranial hypertension.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- Diagnosis of High Intracranial Pressure by Non-Optic Nerve Retinal Image Features.Translational vision science & technology · 2026Article
- WAVY OBLONG RETROGRADE MOVING SEGMENTS (WORMS) INTRAVENOUS FLUORESCEIN ANGIOGRAPHIC FINDING IN A NEONATE WITH RETINOPATHY OF PREMATURITY.Retinal cases & brief reports · 2026Article
- A Method for Peripapillary Retinal Vessel Tortuosity Measurement and Its Clinical Correspondence.Translational vision science & technology · 2025Article
- Assessment of Retinal Vessel Tortuosity Index in Patients with Fabry Disease Using Optical Coherence Tomography Angiography (OCTA).Diagnostics (Basel, Switzerland) · 2023Article
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Abstract
Purpose: To develop methods to quantitatively measure retinal vessel tortuosity from fundus images acquired in subjects with papilledema and assess sources of variability in these measurements. Methods: Digital fundus images from 30 eyes of subjects with untreated idiopathic intracranial hypertension and papilledema were analyzed. Retinal vein and artery tortuosities for three to four vessels of each type were measured in a region of interest 1.8 to 2.7 mm from the center of the optic nerve head. Measurements were averaged to generate a venous tortuosity index (VTI) and arterial tortuosity index (ATI) for each eye. One image of each eye was analyzed two times by the same rater. Two images of each eye, differing by focal depth, were analyzed by the same rater. Correlations between VTI and ATI for the same image and different images were calculated. Results: Intrarater Pearson correlations (r) were 0.8 (95% confidence interval [CI], 0.59-0.9) and 0.90 (95% CI, 0.73-0.96) for VTI and ATI, respectively, with one outlier removed. Interimage r values were 0.72 (95% CI, 0.48-0.87) and 0.96 (95% CI, 0.89-0.99) for VTI and ATI, respectively, with one outlier removed. The intraclass correlation coefficients for agreement and consistency were similar, suggesting that the discrepancy between measurements was due to residual random error. Conclusions: The finding of similar intrarater and interimage variability suggests that intrarater variability may be a more dominant source than physiology and image acquisition. Translational Relevance: Standardizing rater procedures and averaging multiple measuring sessions are strategies to reduce variability and improve reliability of detecting retinal vessel tortuosity changes in images of eyes with papilledema.
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