Optical coherence tomography angiography image quality assessment at varying retinal expertise levels

Makita, 2006, Optical coherence angiography, Optic Express, 14, 7821, 10.1364/OE.14.007821 Jia, 2012, Split-spectrum amplitude-decorrelation angiography with optical coherence tomography, Optic Express, 20, 4710, 10.1364/OE.20.004710 Jia, 2015, Quantitative optical coherence tomography angiography of vascular abnormalities in the living human eye, Proc Natl Acad Sci USA, 112, E2395, 10.1073/pnas.1500185112 Spaide, 2018, Optical coherence tomography angiography, Prog Retin Eye Res, 64, 1, 10.1016/j.preteyeres.2017.11.003 Spaide, 2015, Image artifacts in optical coherence tomography angiography, Retina, 35, 2163, 10.1097/IAE.0000000000000765 Ghasemi Falavarjani, 2017, Image artefacts in swept-source optical coherence tomography angiography, Br J Ophthalmol, 101, 564, 10.1136/bjophthalmol-2016-309104 Fenner, 2018, Identification of imaging features that determine quality and repeatability of retinal capillary plexus density measurements in OCT angiography, Br J Ophthalmol, 102, 509, 10.1136/bjophthalmol-2017-310700 Lauermann, 2018, Prevalences of segmentation errors and motion artifacts in OCT-Angiography differ among retinal diseases, Graefes Arch Clin Exp Ophthalmol, 256, 1807, 10.1007/s00417-018-4053-2 Al-Sheikh, 2017, Impact of image quality on OCT angiography based quantitative measurements, Int J Retina Vitreous, 3, 13, 10.1186/s40942-017-0068-9 Rommel, 2018, Impact of correct anatomical slab segmentation on foveal avascular zone measurements by optical coherence tomography angiography in healthy adults, J Curr Ophthalmol, 30, 156 Lauermann, 2017, Impact of eye-tracking technology on OCT-angiography imaging quality in age-related macular degeneration, Graefes Arch Clin Exp Ophthalmol, 255, 1535, 10.1007/s00417-017-3684-z Lumbroso, 2015 Alten, 2017, Signal reduction in choriocapillaris and segmentation errors in spectral domain OCT angiography caused by soft drusen, Graefes Arch Clin Exp Ophthalmol, 255, 2347, 10.1007/s00417-017-3813-8 Han, 2010, Evaluation of artifacts associated with macular spectral-domain optical coherence tomography, Ophthalmology, 117, 1177, 10.1016/j.ophtha.2009.10.029 Cohen, 1960, A coefficient of agreement for nominal scales, Educ Psychol Meas, 20, 37, 10.1177/001316446002000104 Fleiss, 2014, 212 Say, 2017, Image quality and artifacts on optical coherence tomography angiography: comparison of pathologic and paired fellow eyes in 65 patients with unilateral choroidal melanoma treated with plaque radiotherapy, Retina, 37, 1660, 10.1097/IAE.0000000000001414 Kraus, 2012, Motion correction in optical coherence tomography volumes on a per A-scan basis using orthogonal scan patterns, Biomed Opt Express, 3, 1182, 10.1364/BOE.3.001182 Zhang, 2016, Projection-resolved optical coherence tomographic angiography, Biomed Opt Express, 7, 816, 10.1364/BOE.7.000816 Souedan, 2018, Sensitivity and specificity of optical coherence tomography angiography (OCT-A) for detection of choroidal neovascularization in real-life practice and varying retinal expertise level, Int Ophthalmol, 38, 1051, 10.1007/s10792-017-0559-6 Guagliano, 2013, Fluorescein angiography-based diagnosis for retinopathy of prematurity: expert-non expert comparison, Eur J Ophthalmol, 23, 881, 10.5301/ejo.5000319 Martin, 2012, Ranibizumab and bevacizumab for treatment of neovascular age-related macular degeneration: two-year Results, Ophthalmology, 119, 1388, 10.1016/j.ophtha.2012.03.053 Treder, 2018, Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning, Graefes Arch Clin Exp Ophthalmol, 256, 259, 10.1007/s00417-017-3850-3 Bogunovic, 2017, Prediction of anti-VEGF treatment requirements in neovascular AMD using a machine learning approach, Invest Ophthalmol Vis Sci, 58, 3240, 10.1167/iovs.16-21053