ArticleFrontiers in pediatrics2022
Computer-Aided Detection of Retinopathy of Prematurity Severity in Preterm Infants
Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Optimizing Field-of-View for Type-1 Retinopathy of Prematurity via Multiple Instance Learning.Translational vision science & technology · 2026Article
- Computer-aided detection of retinopathy of prematurity severity assessment via vessel tortuosity measurement in preterm infants' fundus images.Eye (London, England) · 2024Article
- Retinal blood flow velocities in infants with retinopathy of prematurity after intravitreal administration of bevacizumab.European journal of ophthalmology · 2024Observational
- The impact of perinatal brain injury on retinal nerve fiber layer thickness and optic nerve head parameters of premature children.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retinopathy of prematurity (ROP) is a retinal disorder that occurs in preterm infants with low birth weight and is the leading cause of preventable blindness in children. Early identification of high-risk patients and early diagnosis and timely treatment of ROP can substantially improve patients' visual outcomes. However, manual screening consumes both time and resources. Telescreening using retinal fundus images has the potential to reduce the burden engendered by the necessity of on-site screening. Recently, substantial progress has been made in using computer-aided diagnosis with retinal fundus images, and this approach has attracted considerable attention for the diagnosis of eye diseases. Abnormalities of and alterations in retinal blood vessels may relate to the occurrence and progression of ROP. In this study, we examined the hypothesis that ROP severity may be associated with the angle and width of arteries and veins. We computationally determined the artery-artery and vein-vein angles in the temporal quadrants-the temporal artery angle (TAA) and temporal vein angle (TVA)-under normal conditions and in different ROP stages. We also estimated retinal vessel width-temporal artery width (TAW) and temporal vein width (TVW)-by applying the Radon transform method to fundus images. Our results revealed significant decreases in TAA and TVA and increases in TAW and TVW with increasing ROP severity (all
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