Retinal optical coherence tomography angiography imaging in population studies
Kashani, A. H.; Berendschot, T. T.; Bonnin, S.; Sobrin, L.; Andrade de Jesus, D.; Sanchez Brea, L.; Collazo Martinez, A.; Raman, R.; de Vries, V. A.; Huang, H.; E3 consortium, ; Macgillivray, T.; Ramdas, W.; Webers, C.; van Asten, F.; Baiser, A.; Klaver, C.; Breteler, M.; Finger, R.; Khan, R.; Liu, R.; Susarla, G.; Rizza, A.; Li, A.; Han, S.; Chan, W.; Lains, I.; Yang, J.; Brustoki, K.; Khetan, V.; Iyengar, S.; Benchek, P.; Sinnakaruppan, M.; Chan, R.; van der Heide, F. C.
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BackgroundWidespread use of retinal optical coherence tomography angiography (OCT-A) imaging in population-based studies requires methodological and analytical consensus to ensure reproducible and accurate results. ObjectiveDevelopment of a consensus framework for assessment of OCT-A image quality and working with OCT-A-derived variables in population studies. MethodsCriteria for image quality were developed for fovea-centered, 3x3-mm OCT-A images acquired with three commercially available devices. Inter- and intragrader agreements for overall image quality, vessel density (VD) and foveal avascular zone (FAZ) area were evaluated among five graders (% agreement). Intergrader agreement was validated on 6x6-mm OCT-A images. Recommendations for grading and use of OCT-A images in epidemiological studies were developed. ResultsMean intergrader agreements for overall "Unusable", "Usable", and "Excellent" 3x3-mm OCT-A image quality (52 images) were 82.3%, 70.8%, and 87.1%; for "Unusable" VD and FAZ area agreements were 80.0% and 81.9%, respectively. Mean intragrader agreements for overall "Unusable", "Usable" and "Excellent" 3x3-mm OCT-A image quality (27 images) were 91.1%, 82.2%, and 81.9%; agreements for "Unusable" VD and FAZ area were 89.6%; and 92.6%, respectively. Mean intergrader agreements for assessment of overall "Unusable", "Usable" and "Excellent" 6x6-mm OCT-A images (21 images) were 73.3 %, 57.1% and 83.8%, agreements for "Unusable" VD and FAZ area were 60.0 % and 84.8 %, respectively. Three analytic scenarios were developed to account for common types of bias related to suboptimal OCT-A image quality and ocular comorbidities. ConclusionThese recommendations provide a framework for working with OCT-A imaging in population studies.
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