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Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review
There is evidence of an association between hypertension and retinal arteriolar narrowing. Manual measurement of retinal vessels comes with additional variability, which can be eliminated using automated software. This scoping review aims to summarize research on automated retinal vessel analysis sy...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689345/ https://www.ncbi.nlm.nih.gov/pubmed/36428925 http://dx.doi.org/10.3390/diagnostics12112865 |
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author | García-Sierra, Rosa López-Lifante, Victor M. Isusquiza Garcia, Erik Heras, Antonio Besada, Idoia Verde Lopez, David Alzamora, Maria Teresa Forés, Rosa Montero-Alia, Pilar Ugarte Anduaga, Jurgi Torán-Monserrat, Pere |
author_facet | García-Sierra, Rosa López-Lifante, Victor M. Isusquiza Garcia, Erik Heras, Antonio Besada, Idoia Verde Lopez, David Alzamora, Maria Teresa Forés, Rosa Montero-Alia, Pilar Ugarte Anduaga, Jurgi Torán-Monserrat, Pere |
author_sort | García-Sierra, Rosa |
collection | PubMed |
description | There is evidence of an association between hypertension and retinal arteriolar narrowing. Manual measurement of retinal vessels comes with additional variability, which can be eliminated using automated software. This scoping review aims to summarize research on automated retinal vessel analysis systems. Searches were performed on Medline, Scopus, and Cochrane to find studies examining automated systems for the diagnosis of retinal vascular alterations caused by hypertension using the following keywords: diagnosis; diagnostic screening programs; image processing, computer-assisted; artificial intelligence; electronic data processing; hypertensive retinopathy; hypertension; retinal vessels; arteriovenous ratio and retinal image analysis. The searches generated 433 articles. Of these, 25 articles published from 2010 to 2022 were included in the review. The retinographies analyzed were extracted from international databases and real scenarios. Automated systems to detect alterations in the retinal vasculature are being introduced into clinical practice for diagnosis in ophthalmology and other medical specialties due to the association of such changes with various diseases. These systems make the classification of hypertensive retinopathy and cardiovascular risk more reliable. They also make it possible for diagnosis to be performed in primary care, thus optimizing ophthalmological visits. |
format | Online Article Text |
id | pubmed-9689345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96893452022-11-25 Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review García-Sierra, Rosa López-Lifante, Victor M. Isusquiza Garcia, Erik Heras, Antonio Besada, Idoia Verde Lopez, David Alzamora, Maria Teresa Forés, Rosa Montero-Alia, Pilar Ugarte Anduaga, Jurgi Torán-Monserrat, Pere Diagnostics (Basel) Review There is evidence of an association between hypertension and retinal arteriolar narrowing. Manual measurement of retinal vessels comes with additional variability, which can be eliminated using automated software. This scoping review aims to summarize research on automated retinal vessel analysis systems. Searches were performed on Medline, Scopus, and Cochrane to find studies examining automated systems for the diagnosis of retinal vascular alterations caused by hypertension using the following keywords: diagnosis; diagnostic screening programs; image processing, computer-assisted; artificial intelligence; electronic data processing; hypertensive retinopathy; hypertension; retinal vessels; arteriovenous ratio and retinal image analysis. The searches generated 433 articles. Of these, 25 articles published from 2010 to 2022 were included in the review. The retinographies analyzed were extracted from international databases and real scenarios. Automated systems to detect alterations in the retinal vasculature are being introduced into clinical practice for diagnosis in ophthalmology and other medical specialties due to the association of such changes with various diseases. These systems make the classification of hypertensive retinopathy and cardiovascular risk more reliable. They also make it possible for diagnosis to be performed in primary care, thus optimizing ophthalmological visits. MDPI 2022-11-18 /pmc/articles/PMC9689345/ /pubmed/36428925 http://dx.doi.org/10.3390/diagnostics12112865 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review García-Sierra, Rosa López-Lifante, Victor M. Isusquiza Garcia, Erik Heras, Antonio Besada, Idoia Verde Lopez, David Alzamora, Maria Teresa Forés, Rosa Montero-Alia, Pilar Ugarte Anduaga, Jurgi Torán-Monserrat, Pere Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review |
title | Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review |
title_full | Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review |
title_fullStr | Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review |
title_full_unstemmed | Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review |
title_short | Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review |
title_sort | automated systems for calculating arteriovenous ratio in retinographies: a scoping review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689345/ https://www.ncbi.nlm.nih.gov/pubmed/36428925 http://dx.doi.org/10.3390/diagnostics12112865 |
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