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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Dove Medical Press
2020
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oai:doaj.org-article:869cb46c1225462485cc625dc251b31f2021-12-02T16:03:12ZThe Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening System1177-5483https://doaj.org/article/869cb46c1225462485cc625dc251b31f2020-11-01T00:00:00Zhttps://www.dovepress.com/the-appropriateness-of-digital-diabetic-retinopathy-screening-images-f-peer-reviewed-article-OPTHhttps://doaj.org/toc/1177-5483Ahmed 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 screeningAlmazroa AAWoodward MANewman-Casey PAShah MMElam ARKamat SSKarvonen-Gutierrez CAWood SDKumar NMoroi SEDove Medical Pressarticletelemedicinetele glaucomaautomated screening systemdiabetic retinopathy screeningglaucoma screeningOphthalmologyRE1-994ENClinical Ophthalmology, Vol Volume 14, Pp 3881-3890 (2020) |
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telemedicine tele glaucoma automated screening system diabetic retinopathy screening glaucoma screening Ophthalmology RE1-994 |
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telemedicine tele glaucoma automated screening system diabetic retinopathy screening glaucoma screening Ophthalmology RE1-994 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 |
| 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 |
| format |
article |
| author |
Almazroa AA Woodward MA Newman-Casey PA Shah MM Elam AR Kamat SS Karvonen-Gutierrez CA Wood SD Kumar N Moroi SE |
| 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 |
| publishDate |
2020 |
| url |
https://doaj.org/article/869cb46c1225462485cc625dc251b31f |
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