ReviewJournal of pediatric ophthalmology and strabismus
Computer-based image analysis for plus disease diagnosis in retinopathy of prematurity.
Review in Journal of pediatric ophthalmology and strabismus. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed, 82 citations in OpenAlex.
- Computer-aided detection of retinopathy of prematurity severity assessment via vessel tortuosity measurement in preterm infants' fundus images.Eye (London, England) · 2024Article
- Novel Approaches for Early Detection of Retinal Diseases Using Artificial Intelligence.Journal of personalized medicine · 2024Review
- Automated diagnosis of plus disease in retinopathy of prematurity using quantification of vessels characteristics.Scientific reports · 2024Article
- Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia.Ophthalmology science · 2022Article
- Variability in Plus Disease Diagnosis using Single and Serial Images.Ophthalmology. Retina · 2022Article
- Early Diagnosis and Quantitative Analysis of Stages in Retinopathy of Prematurity Based on Deep Convolutional Neural Networks.Translational vision science & technology · 2022Article
- The Role of Telemedicine to Alleviate an Increasingly Burdened Healthcare System: Retinopathy of Prematurity.Ophthalmology and therapy · 2020Review
- Artificial Intelligence in Retinopathy of Prematurity Diagnosis.Translational vision science & technology · 2020Review
- Automated identification of retinopathy of prematurity by image-based deep learning.Eye and vision (London, England) · 2020Article
- Deep Learning Algorithm for Automated Diagnosis of Retinopathy of Prematurity Plus Disease.Translational vision science & technology · 2019Article
- Telemedicine for Retinopathy of Prematurity in 2020.Journal of vitreoretinal diseases · 2019Article
- Imaging the pediatric retina - Where are we headed?Indian journal of ophthalmology · 2019Article
- Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity.The British journal of ophthalmology · 2018Article
- Intravitreal bevacizumab treatment reduces ocular blood flow in retinopathy of prematurity: a four-case report.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2018Article
- Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.JAMA ophthalmology · 2018Article
- Accuracy and Reliability of Eye-Based vs Quadrant-Based Diagnosis of Plus Disease in Retinopathy of Prematurity.JAMA ophthalmology · 2018Article
- Diagnostic Accuracy of Ophthalmoscopy vs Telemedicine in Examinations for Retinopathy of Prematurity.JAMA ophthalmology · 2018Article
- Retinal Telemedicine.Current ophthalmology reports · 2018Article
- Retinopathy of Prematurity-assist: Novel Software for Detecting Plus Disease.Korean journal of ophthalmology : KJO · 2017Article
- Decreased ocular blood flow after photocoagulation therapy in neonatal retinopathy of prematurity.Japanese journal of ophthalmology · 2017Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Presence of plus disease in retinopathy of prematurity (ROP) is an important criterion for identifying ROP requiring treatment. Plus disease is defined by a standard published photograph selected more than 20 years ago by expert consensus. However, diagnosis of plus disease has been shown to be subjective and qualitative. Computer-based image analysis using quantitative methods has potential to improve the objectivity of plus disease diagnosis. The objective was to review the published literature involving computer-based image analysis for ROP diagnosis. The PubMed and Cochrane library databases were searched for the keywords "retinopathy of prematurity" AND "image analysis" AND/OR "plus disease." Reference lists of retrieved articles were searched to identify additional relevant studies. All relevant English-language studies were reviewed. There are four main computer-based systems-ROPtool (area under the receiver operating characteristic curve [AUROC], plus tortuosity 0.95, plus dilation 0.87), RISA (AUROC, arteriolar TI 0.71, venular diameter 0.82), Vessel Map (AUROC, arteriolar dilation 0.75, venular dilation 0.96), and CAIAR (AUROC, arteriole tortuosity 0.92, venular dilation 0.91)-attempting to objectively analyze vessel tortuosity and dilation in plus disease in ROP. Some show promise for identification of plus disease using quantitative methods. This has potential to improve the diagnosis of plus disease and may contribute to the management of ROP using both traditional binocular indirect ophthalmoscopy and image-based telemedicine approaches.
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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.