Diagnostic Accuracy of a Device for the Automated Detection of Diabetic Retinopathy in a Primary Care Setting.

Details

Serval ID
serval:BIB_5A0A8A3DDA13
Type
Article: article from journal or magazin.
Collection
Publications
Title
Diagnostic Accuracy of a Device for the Automated Detection of Diabetic Retinopathy in a Primary Care Setting.
Journal
Diabetes care
Author(s)
Verbraak F.D., Abramoff M.D., Bausch GCF, Klaver C., Nijpels G., Schlingemann R.O., van der Heijden A.A.
ISSN
1935-5548 (Electronic)
ISSN-L
0149-5992
Publication state
Published
Issued date
04/2019
Peer-reviewed
Oui
Volume
42
Number
4
Pages
651-656
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
To determine the diagnostic accuracy in a real-world primary care setting of a deep learning-enhanced device for automated detection of diabetic retinopathy (DR).
Retinal images of people with type 2 diabetes visiting a primary care screening program were graded by a hybrid deep learning-enhanced device (IDx-DR-EU-2.1; IDx, Amsterdam, the Netherlands), and its classification of retinopathy (vision-threatening [vt]DR, more than mild [mtm]DR, and mild or more [mom]DR) was compared with a reference standard. This reference standard consisted of grading according to the International Clinical Classification of DR by the Rotterdam Study reading center. We determined the diagnostic accuracy of the hybrid deep learning-enhanced device (IDx-DR-EU-2.1) against the reference standard.
A total of 1,616 people with type 2 diabetes were imaged. The hybrid deep learning-enhanced device's sensitivity/specificity against the reference standard was, respectively, for vtDR 100% (95% CI 77.1-100)/97.8% (95% CI 96.8-98.5) and for mtmDR 79.4% (95% CI 66.5-87.9)/93.8% (95% CI 92.1-94.9).
The hybrid deep learning-enhanced device had high diagnostic accuracy for the detection of both vtDR (although the number of vtDR cases was low) and mtmDR in a primary care setting against an independent reading center. This allows its' safe use in a primary care setting.
Keywords
Diabetes Mellitus, Type 2/complications, Diabetic Retinopathy/diagnosis, Diabetic Retinopathy/therapy, Female, Humans, Male, Mass Screening/methods, Middle Aged, Netherlands, Primary Health Care
Pubmed
Web of science
Open Access
Yes
Create date
11/02/2020 11:09
Last modification date
26/02/2024 17:45
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