Comparison of ETDRS 7-Field to 4-Widefield Digital Imaging in the Evaluation of Diabetic Retinopathy Severity.


Journal

Translational vision science & technology
ISSN: 2164-2591
Titre abrégé: Transl Vis Sci Technol
Pays: United States
ID NLM: 101595919

Informations de publication

Date de publication:
03 01 2022
Historique:
entrez: 11 1 2022
pubmed: 12 1 2022
medline: 27 1 2022
Statut: ppublish

Résumé

To compare Early Treatment Diabetic Retinopathy Study (ETDRS) severity levels between two digital fundus imaging protocols for research studies of diabetic retinopathy: the gold standard 7-field (7F) imaging and the more recent 4-widefield (4W) imaging. Two hundred twenty-two participants enrolled in the Diabetes Prevention Program Outcomes Study underwent concurrent 7F and 4W imaging. The ETDRS levels from 220 paired gradable images were determined by masked graders. Each image was graded by two independent graders with adjudication by a senior grader, if necessary. Percent agreement between graders and between imaging protocols was evaluated with kappa statistics and weighted kappa statistics. Of 220 gradable eyes, diabetic retinopathy was seen in 11.8%; this was mild in 10.4% and more than mild in 1.4% using 7F imaging. The ETDRS levels showed exact agreement of 95% between 7F and 4W imaging (weighted kappa 0.86). Intergrader agreement for each modality had exact agreement of 89% (weighted kappa of 0.73) for 7F and 91% (weighted kappa 0.77) for 4W. There is substantial agreement in the ETDRS severity level between the 7F and 4W digital imaging protocols, demonstrating that the two imaging protocols are interchangeable. Both 4W and 7F digital imaging protocols can be used for assessing ETDRS levels, even in populations with minimal diabetic retinopathy. The 4W protocol requires fewer images than the 7F, is more comfortable for the patients, is easier for photographic capture, and provides diabetic retinopathy data that is equivalent to the 7F imaging protocol.

Identifiants

pubmed: 35015059
pii: 2778250
doi: 10.1167/tvst.11.1.13
pmc: PMC8762689
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

13

Subventions

Organisme : NIDDK NIH HHS
ID : U01 DK048412
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048375
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048434
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048413
Pays : United States
Organisme : NCRR NIH HHS
ID : M01 RR016587
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048339
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048468
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048387
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048404
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048377
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048407
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048437
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048406
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048397
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048381
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048514
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048485
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048411
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048443
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048380
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048400
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048489
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK048349
Pays : United States

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Auteurs

Barbara A Blodi (BA)

Wisconsin Reading Center, Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Amitha Domalpally (A)

Wisconsin Reading Center, Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Biostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD, USA.

Ashley H Tjaden (AH)

Biostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD, USA.

Nancy Barrett (N)

Wisconsin Reading Center, Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Emily Y Chew (EY)

Division of Epidemiology and Clinical Applications, Clinical Trials Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.

William C Knowler (WC)

Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA.

Christine G Lee (CG)

Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.

Xavier Pi-Sunyer (X)

Columbia University Irving Medical Center, New York, NY, USA.

Amisha Wallia (A)

Division of Endocrinology, Metabolism and Molecular Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Neil H White (NH)

Division of Endocrinology and Diabetes, Department of Pediatrics, Washington University in St. Louis, St. Louis, MO, USA.

Marinella Temprosa (M)

Biostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD, USA.

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Classifications MeSH