The Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening System

Ahmed A Almazroa,1– 3 Maria A Woodward,1,4 Paula Anne Newman-Casey,1,4 Manjool M Shah,1 Angela R Elam,1 Shivani S Kamat,1 Carrie A Karvonen-Gutierrez,5 Sarah D Wood,1 Navasuja Kumar,1 Sayoko E Moroi1,4 1Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University o...

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Main Authors: Almazroa AA, Woodward MA, Newman-Casey PA, Shah MM, Elam AR, Kamat SS, Karvonen-Gutierrez CA, Wood SD, Kumar N, Moroi SE
Format: Article
Language:English
Published: Dove Medical Press 2020-11-01
Series:Clinical Ophthalmology
Subjects:
Online Access:https://www.dovepress.com/the-appropriateness-of-digital-diabetic-retinopathy-screening-images-f-peer-reviewed-article-OPTH
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spelling doaj-869cb46c1225462485cc625dc251b31f2020-11-25T04:11:23ZengDove Medical PressClinical Ophthalmology1177-54832020-11-01Volume 143881389059314The Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening SystemAlmazroa AAWoodward MANewman-Casey PAShah MMElam ARKamat SSKarvonen-Gutierrez CAWood SDKumar NMoroi SEAhmed A Almazroa,1– 3 Maria A Woodward,1,4 Paula Anne Newman-Casey,1,4 Manjool M Shah,1 Angela R Elam,1 Shivani S Kamat,1 Carrie A Karvonen-Gutierrez,5 Sarah D Wood,1 Navasuja Kumar,1 Sayoko E Moroi1,4 1Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan Medical School, Ann Arbor, MI, USA; 2Medical Imaging, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; 3Medical Imaging, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; 4Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, USA; 5Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USACorrespondence: Ahmed A AlmazroaKing Abdullah International Medical Research Center, P.O. Box 3660, Riyadh 11481, Saudi ArabiaTel +966 (11)4294324Email almazroaah@ngha.med.saPurpose: The purpose of this study was to evaluate the ability to screen for glaucoma using a Food Drug Administration (FDA) Class II diagnostic digital fundus photography system used for diabetic retinopathy screening (DRS).Methods: All research participants underwent a comprehensive eye examination as well as non-mydriatic 45°single photograph retinal imaging centered on the macula. Optic nerve images within the 45° non-mydriatic and non-stereo DRS image were evaluated by two methods: 1) grading by three glaucoma specialists, and 2) a computer-aided automated segmentation system to determine the vertical cup-to-disc ratio (VCDR). Using VCDR from clinical assessment as gold standard, VCDR results from two methods were compared to that from clinical assessment. Inter-grader agreement was assessed by computing intraclass correlation coefficient (ICC). In addition, sensitivity and specificity were calculated.Results: Among 245 fundus photos, 166 images met quality specifications for analysis. Fifty images were not processed by the automated system due to the poor quality of the optic disc, and 29 images did not include the optic nerve head due to the patient movement during the photo acquisition. The ICC value for the VCDR between the gold standard clinical exam and the automated system was 0.41, indicating fair agreement. The ICC value between the three ophthalmologists and the gold standard was 0.51, 0.56, and 0.69, respectively, indicating fair to moderate agreement.Discussion: Assessing the VCDR on non-mydriatic and non-stereo DRS fundus photographs by either the computer-aided automated segmentation system or by glaucoma specialists showed similar fair to moderate agreement. In summary, optic nerve assessment for glaucoma from these 45° non-mydriatic and non-stereo DRS images is not yet suitable for tele-glaucoma screening.Keywords: telemedicine, tele-glaucoma, automated screening system, diabetic retinopathy screening, glaucoma screeninghttps://www.dovepress.com/the-appropriateness-of-digital-diabetic-retinopathy-screening-images-f-peer-reviewed-article-OPTHtelemedicinetele glaucomaautomated screening systemdiabetic retinopathy screeningglaucoma screening
collection DOAJ
language English
format Article
sources DOAJ
author Almazroa AA
Woodward MA
Newman-Casey PA
Shah MM
Elam AR
Kamat SS
Karvonen-Gutierrez CA
Wood SD
Kumar N
Moroi SE
spellingShingle Almazroa AA
Woodward MA
Newman-Casey PA
Shah MM
Elam AR
Kamat SS
Karvonen-Gutierrez CA
Wood SD
Kumar N
Moroi SE
The Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening System
Clinical Ophthalmology
telemedicine
tele glaucoma
automated screening system
diabetic retinopathy screening
glaucoma screening
author_facet Almazroa AA
Woodward MA
Newman-Casey PA
Shah MM
Elam AR
Kamat SS
Karvonen-Gutierrez CA
Wood SD
Kumar N
Moroi SE
author_sort Almazroa AA
title The Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening System
title_short The Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening System
title_full The Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening System
title_fullStr The Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening System
title_full_unstemmed The Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening System
title_sort appropriateness of digital diabetic retinopathy screening images for a computer-aided glaucoma screening system
publisher Dove Medical Press
series Clinical Ophthalmology
issn 1177-5483
publishDate 2020-11-01
description Ahmed A Almazroa,1– 3 Maria A Woodward,1,4 Paula Anne Newman-Casey,1,4 Manjool M Shah,1 Angela R Elam,1 Shivani S Kamat,1 Carrie A Karvonen-Gutierrez,5 Sarah D Wood,1 Navasuja Kumar,1 Sayoko E Moroi1,4 1Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan Medical School, Ann Arbor, MI, USA; 2Medical Imaging, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; 3Medical Imaging, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; 4Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, USA; 5Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USACorrespondence: Ahmed A AlmazroaKing Abdullah International Medical Research Center, P.O. Box 3660, Riyadh 11481, Saudi ArabiaTel +966 (11)4294324Email almazroaah@ngha.med.saPurpose: The purpose of this study was to evaluate the ability to screen for glaucoma using a Food Drug Administration (FDA) Class II diagnostic digital fundus photography system used for diabetic retinopathy screening (DRS).Methods: All research participants underwent a comprehensive eye examination as well as non-mydriatic 45°single photograph retinal imaging centered on the macula. Optic nerve images within the 45° non-mydriatic and non-stereo DRS image were evaluated by two methods: 1) grading by three glaucoma specialists, and 2) a computer-aided automated segmentation system to determine the vertical cup-to-disc ratio (VCDR). Using VCDR from clinical assessment as gold standard, VCDR results from two methods were compared to that from clinical assessment. Inter-grader agreement was assessed by computing intraclass correlation coefficient (ICC). In addition, sensitivity and specificity were calculated.Results: Among 245 fundus photos, 166 images met quality specifications for analysis. Fifty images were not processed by the automated system due to the poor quality of the optic disc, and 29 images did not include the optic nerve head due to the patient movement during the photo acquisition. The ICC value for the VCDR between the gold standard clinical exam and the automated system was 0.41, indicating fair agreement. The ICC value between the three ophthalmologists and the gold standard was 0.51, 0.56, and 0.69, respectively, indicating fair to moderate agreement.Discussion: Assessing the VCDR on non-mydriatic and non-stereo DRS fundus photographs by either the computer-aided automated segmentation system or by glaucoma specialists showed similar fair to moderate agreement. In summary, optic nerve assessment for glaucoma from these 45° non-mydriatic and non-stereo DRS images is not yet suitable for tele-glaucoma screening.Keywords: telemedicine, tele-glaucoma, automated screening system, diabetic retinopathy screening, glaucoma screening
topic telemedicine
tele glaucoma
automated screening system
diabetic retinopathy screening
glaucoma screening
url https://www.dovepress.com/the-appropriateness-of-digital-diabetic-retinopathy-screening-images-f-peer-reviewed-article-OPTH
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