7be8cff891f495fd507f2a764f171010 pmc_9689345.pdf 3c9c3b13d930c151d12cf4607ac94c395ad31c05 pmc_9689345.pdf 212b3b1e6b541cb7d6bb0a1405f144661d17d2c4b22ab041c5439ff42a2cdfed pmc_9689345.pdf Title: Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review Subject: 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. Keywords: image processing; computer assisted; retinal vessels; retinal image analysis; diagnosis; hypertensive retinopathy; diagnostic screening programs Author: Rosa García-Sierra, Victor M. López-Lifante, Erik Isusquiza Garcia, Antonio Heras, Idoia Besada, David Verde Lopez, Maria Teresa Alzamora, Rosa Forés, Pilar Montero-Alia, Jurgi Ugarte Anduaga and Pere Torán-Monserrat Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Tue Nov 22 06:35:31 2022 CET ModDate: Tue Nov 22 06:43:00 2022 CET Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 14 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 640493 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- YQMKHR+VnURWPalladioL Type 1 Custom yes yes no 10 0 KXSCWL+URWPalladioL-Bold Type 1 Custom yes yes no 15 0 TXHAVB+URWPalladioL-Roma Type 1 Custom yes yes no 20 0 RPYODE+URWPalladioL-Ital Type 1 Custom yes yes no 24 0 JYPLJJ+VnURWPalladioL-Bold Type 1 Custom yes yes no 28 0 BXZUUH+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 46 0 ACFADE+PalatinoLinotype TrueType WinAnsi yes yes no 77 0 ACFADG+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 80 0 ACFADI+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 83 0 QGUKZH+CMSY10 Type 1 Builtin yes yes no 96 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-08-25 02:29:57 CEST RepresentationInformation: pmc_9689345.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-08-04 02:19:34 CEST Size: 640493 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 342 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@44c8afef Item: Title: Materials and Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7b69c6ba Children: Item: Title: Search Strategy, Data Sources, and Selection Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: Selection Criteria Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: Selection of Studies Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Item: Title: Data Extraction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Children: Item: Title: Search Process Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Item: Title: Characteristics of the Articles Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@50d0686 Item: Title: Interpretation Procedures Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7a3d45bd Item: Title: Summary of the Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1e7c7811 Item: Title: Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@77ec78b9 Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1a3869f4 Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@a38d7a3 Info: Title: Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review Author: Rosa García-Sierra, Victor M. López-Lifante, Erik Isusquiza Garcia, Antonio Heras, Idoia Besada, David Verde Lopez, Maria Teresa Alzamora, Rosa Forés, Pilar Montero-Alia, Jurgi Ugarte Anduaga and Pere Torán-Monserrat Subject: 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. 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