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An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness

Tufail, Adnan and Kapetanakis, Venediktos V and Salas-Vega, Sebastian and Egan, Catherine and Rudisill, Caroline and Owen, Christopher G. and Lee, Aaron and Louw, Vern and Anderson, John and Liew, Gerald and Bolter, Louis and Bailey, Clare and Sadda, SriniVas and Taylor, Paul and Rudnicka, Alicja R (2016) An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness. Health Technology Assessment, 20 (92). pp. 1-72. ISSN 1366-5278

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Identification Number: 10.3310/hta20920

Abstract

Annual diabetic retinopathy screening using digital photographs of the retina assessed by human graders is recognised as the best way to detect vision-threatening disease and reduce visual loss in patients with diabetes mellitus. Vision-threatening disease is referred to hospital eye services for review and possible treatment. With more than 3 million people in England diagnosed with diabetes mellitus, there has been increasing interest in automated systems that detect diabetic retinopathy on digital pictures [so-called automated retinal image analysis systems (ARIASs)] as a way of reducing the need for human graders and the cost of screening. This study compared commercially available ARIASs [IDx-DR (IDx, LLC, Iowa City, IA, USA), iGradingM (version 1.1; originally Medalytix Group Ltd, Manchester, UK, but purchased by Digital Healthcare, Cambridge, UK, at the initiation of the study, purchased in turn by EMIS UK, Leeds, UK, after conclusion of the study), Retmarker (version 0.8.2, Retmarker Ltd, Coimbra, Portugal) and EyeArt (Eyenuk Inc., Woodland Hills, CA, USA)] with human manual grading on retinal photographs from 20,258 consecutive patients seen in a NHS diabetic eye screening programme. IDx, LLC withdrew from the study, citing commercial reasons. The ability of the remaining three ARIASs to correctly identify patients with diabetic retinopathy was compared against trained human graders. Health-economic analyses were carried out to investigate whether or not it would save money if ARIASs replaced trained human graders in different parts of the screening pathway.

Item Type: Article
Official URL: https://www.journalslibrary.nihr.ac.uk/hta
Additional Information: © 2016 Queen’s Printer and Controller of HMSO
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Sets: Departments > Social Policy
Research centres and groups > LSE Health
Date Deposited: 19 Dec 2016 17:27
Last Modified: 22 Sep 2017 09:25
Funders: National Institute for Health Research, Department of Health’s NIHR Biomedical Research Centre for Ophthalmology at Moorfields Eye Hospital, University College London Institute of Ophthalmology
URI: http://eprints.lse.ac.uk/id/eprint/68653

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