Comparison of true-colour wide-field confocal scanner imaging with standard fundus photography for diabetic retinopathy screening.


Journal

The British journal of ophthalmology
ISSN: 1468-2079
Titre abrégé: Br J Ophthalmol
Pays: England
ID NLM: 0421041

Informations de publication

Date de publication:
11 2020
Historique:
received: 23 09 2019
revised: 16 12 2019
accepted: 24 01 2020
pubmed: 7 3 2020
medline: 27 2 2021
entrez: 7 3 2020
Statut: ppublish

Résumé

Screening of diabetic retinopathy (DR) reduces blindness by early identification of retinopathy. This study compares DR grades derived from a two-field imaging protocol from two imaging platforms, one providing a single 60-degree horizontal field of view (FOV) and the other, a standard 45-degree FOV. Cross-sectional study which included 1257 diabetic patients aged ≥18 years attending their DR screening visit in the English National Diabetic Eye Screening Programme (NDESP). Patients with maculopathy (M1), preproliferative (R2) or proliferative DR (R3) were referred to an ophthalmologist. Patients with ungradable images (U) are examined in a slit-lamp biomicroscopy clinic. Image acquisition under mydriasis of two images per eye was carried out with the EIDON and with standard fundus cameras. Evaluation was performed by masked graders. Agreement after consensus with kappa statistic was 0.89 (quadratic weights (95% CI 0.87 to 0.92)) for NDESP severity grade, 0.88 (quadratic weights (95% CI 0.82 to 0.94)) for referable disease and 0.92 (linear weights (95% CI 0.88 to 0.95)) for maculopathy. The EIDON detected clinically relevant DR features outside the 45-degree fields in two patients (0.16%): one with intraretinal microvascular abnormalities (IRMAs) and one with neovascularisation. In eight patients (0.64%), the EIDON allowed DR feature visualisation inside the 45-degree fields that were not identified in the NDESP images: three patients (0.24%) with IRMA and five patients (0.40%) with maculopathy. The rates of ungradable encounters were 12 (0.95%) and 13 (1.03%) with the EIDON and NDESP images, respectively. The EIDON identifies a small number of additional patients with referable disease which are not detected with standard imaging. This is due to the EIDON finding disease outside the standard FOV and greater clarity finding disease within the standard FOV.

Sections du résumé

BACKGROUND
Screening of diabetic retinopathy (DR) reduces blindness by early identification of retinopathy. This study compares DR grades derived from a two-field imaging protocol from two imaging platforms, one providing a single 60-degree horizontal field of view (FOV) and the other, a standard 45-degree FOV.
METHODS
Cross-sectional study which included 1257 diabetic patients aged ≥18 years attending their DR screening visit in the English National Diabetic Eye Screening Programme (NDESP). Patients with maculopathy (M1), preproliferative (R2) or proliferative DR (R3) were referred to an ophthalmologist. Patients with ungradable images (U) are examined in a slit-lamp biomicroscopy clinic. Image acquisition under mydriasis of two images per eye was carried out with the EIDON and with standard fundus cameras. Evaluation was performed by masked graders.
RESULTS
Agreement after consensus with kappa statistic was 0.89 (quadratic weights (95% CI 0.87 to 0.92)) for NDESP severity grade, 0.88 (quadratic weights (95% CI 0.82 to 0.94)) for referable disease and 0.92 (linear weights (95% CI 0.88 to 0.95)) for maculopathy. The EIDON detected clinically relevant DR features outside the 45-degree fields in two patients (0.16%): one with intraretinal microvascular abnormalities (IRMAs) and one with neovascularisation. In eight patients (0.64%), the EIDON allowed DR feature visualisation inside the 45-degree fields that were not identified in the NDESP images: three patients (0.24%) with IRMA and five patients (0.40%) with maculopathy. The rates of ungradable encounters were 12 (0.95%) and 13 (1.03%) with the EIDON and NDESP images, respectively.
CONCLUSION
The EIDON identifies a small number of additional patients with referable disease which are not detected with standard imaging. This is due to the EIDON finding disease outside the standard FOV and greater clarity finding disease within the standard FOV.

Identifiants

pubmed: 32139499
pii: bjophthalmol-2019-315269
doi: 10.1136/bjophthalmol-2019-315269
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1579-1584

Informations de copyright

© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Abraham Olvera-Barrios (A)

Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK, London, UK a.olvera@nhs.net.
University College London Institute of Ophthalmology, London, UK.

Tjebo Fc Heeren (TF)

Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK, London, UK.
University College London Institute of Ophthalmology, London, UK.

Konstantinos Balaskas (K)

Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK, London, UK.

Ryan Chambers (R)

Diabetes, Homerton University Hospital NHS Foundation Trust, London, UK.

Louis Bolter (L)

Diabetes, Homerton University Hospital NHS Foundation Trust, London, UK.

Adnan Tufail (A)

Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK, London, UK.
University College London Institute of Ophthalmology, London, UK.

Catherine Egan (C)

Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK, London, UK.
University College London Institute of Ophthalmology, London, UK.

John Anderson (J)

Diabetes, Homerton University Hospital NHS Foundation Trust, London, UK.

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