A systematic evaluation of human expert agreement on optical coherence tomography biomarkers using multiple devices.


Journal

Eye (London, England)
ISSN: 1476-5454
Titre abrégé: Eye (Lond)
Pays: England
ID NLM: 8703986

Informations de publication

Date de publication:
08 2023
Historique:
received: 14 10 2022
accepted: 16 12 2022
revised: 02 12 2022
pmc-release: 01 08 2024
medline: 4 8 2023
pubmed: 29 12 2022
entrez: 28 12 2022
Statut: ppublish

Résumé

To assess the agreement in evaluating optical coherence tomography (OCT) variables in the leading macular diseases such as neovascular age-related macular degeneration (nAMD), diabetic macular oedema (DMO) and retinal vein occlusion (RVO) among OCT-certified graders. SD-OCT volume scans of 356 eyes were graded by seven graders. The grading included presence of intra- and subretinal fluid (IRF, SRF), pigment epithelial detachment (PED), epiretinal membrane (ERM), conditions of the vitreomacular interface (VMI), central retinal thickness (CRT) at the foveal centre-point (CP) and central millimetre (CMM), as well as height and location of IRF/SRF/PED. Kappa statistics (κ) and intraclass correlation coefficient (ICC) were used to report categorical grading and measurement agreement. The overall agreement on the presence of IRF/SRF/PED was κ = 0.82/0.85/0.81; κ of VMI condition was 0.77, that of ERM presence 0.37. ICC for CRT measurements at CP and CMM was excellent with an ICC of 1.00. Height measurements of IRF/SRF/PED showed robust consistency with ICC = 0.85-0.93. There was substantial to almost perfect agreement in locating IRF/SRF/PED with κ = 0.67-0.86. Between diseases, κ of IRF/SRF presence was 0.69/0.80 for nAMD, 0.64/0.83 for DMO and 0.86/0.89 for RVO. Even in the optimized setting, featuring certified graders, standardized image acquisition and the use of a professional reading platform, there is a disease dependent variability in biomarker evaluation that is most pronounced for IRF in nAMD as well as DMO. Our findings highlight the variability in the performance of human expert OCT grading and the need for AI-based automated feature analyses.

Identifiants

pubmed: 36577804
doi: 10.1038/s41433-022-02376-w
pii: 10.1038/s41433-022-02376-w
pmc: PMC10397199
doi:

Substances chimiques

Angiogenesis Inhibitors 0
Ranibizumab ZL1R02VT79

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2573-2579

Informations de copyright

© 2022. The Author(s), under exclusive licence to The Royal College of Ophthalmologists.

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Auteurs

Martin Michl (M)

Department of Ophthalmology, Vienna Reading Center, Medical University of Vienna, Vienna, Austria.

Martina Neschi (M)

RetInSight, Vienna, Austria.

Alexandra Kaider (A)

Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.

Katja Hatz (K)

Department of Ophthalmology, Vienna Reading Center, Medical University of Vienna, Vienna, Austria.
Faculty of Medicine, University of Basel, Basel, Switzerland.
Vista Augenklinik Binningen, Binningen, Switzerland.

Gabor Deak (G)

Department of Ophthalmology, Vienna Reading Center, Medical University of Vienna, Vienna, Austria.

Bianca S Gerendas (BS)

Department of Ophthalmology, Vienna Reading Center, Medical University of Vienna, Vienna, Austria. bianca.gerendas@meduniwien.ac.at.

Ursula Schmidt-Erfurth (U)

Department of Ophthalmology, Vienna Reading Center, Medical University of Vienna, Vienna, Austria.

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Classifications MeSH