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 A, Kapetanakis V V, Salas-Vega S, Egan C, Rudisill C, Owen C G, Lee A, Louw V, Anderson J, Liew G, Bolter L, Bailey C, Sadda S, Taylor P & Rudnicka A R
Record ID 32013001071
English
Authors' objectives:
To determine the screening performance and cost-effectiveness of ARIASs to replace level 1 human graders or pre-screen with ARIASs in the NHS diabetic eye screening programme (DESP). To examine technical issues associated with implementation.
Authors' recommendations:
Retmarker and EyeArt achieved acceptable sensitivity for referable retinopathy and false-positive rates (compared with human graders as reference standard) and appear to be cost-effective alternatives to a purely manual grading approach. Future work is required to develop technical specifications to optimise deployment and address potential governance issues.
Details
Project Status:
Completed
Year Published:
2016
URL for published report:
https://www.journalslibrary.nihr.ac.uk/hta/hta20920/#/abstract
English language abstract:
An English language summary is available
Publication Type:
Not Assigned
Country:
England, United Kingdom
MeSH Terms
- Diabetic Retinopathy
- Mass Screening
- Diagnosis, Computer-Assisted
- Diabetes Mellitus
Contact
Organisation Name:
NIHR Health Technology Assessment programme
Contact Address:
NIHR Journals Library, National Institute for Health and Care Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK
Contact Name:
journals.library@nihr.ac.uk
Contact Email:
journals.library@nihr.ac.uk
Copyright:
Queen's Printer and Controller of HMSO
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.