PURPOSE: To investigate the relationship between automated and manually derived measurements of central retinal thickness from optical coherence tomography (OCT) and to determine the relationship between the foveal center point (FCP) and the foveal central subfield (FCS) in neovascular age-related macular degeneration (AMD). METHODS: Data were collected from 216 patients with newly diagnosed neovascular AMD, who underwent StratusOCT imaging at diagnosis. Raw StratusOCT images for each patient were analyzed with the publicly available custom software OCTOR, which allows accurate manual grading of OCT B-scans. Manually derived central retinal thickness measurements were compared with measurements obtained from automated StratusOCT analysis. Manually obtained measurements of FCP and FCS were also compared. RESULTS: The mean (+/-SD) difference in thickness between automated and manually derived FCP thickness was 7.9 microm (+/-90.8), but the maximum difference was 455 microm. The limits of agreement (95% confidence interval), between automated and manually obtained FCP thicknesses, were -173.7 microm (lower limit) and 189.6 microm (upper limit), with a coefficient of determination (R(2)) of 0.49 (P < 0.001). In contrast, the R(2) for manually derived FCP and manually derived FCS thickness was 0.94 (P < 0.001), with a smaller mean (+/-SD) difference in thickness of 13.8 microm (+/-29.8). CONCLUSIONS: Manual correction of errors in automated OCT segmentation may be necessary for accurate interpretation of anatomic outcomes for clinical trials of neovascular AMD. In addition, although measurement of FCS remains preferable for assessment of central retinal thickness, accurate measurement of FCP may represent an adequate alternative when FCS is unavailable.
PURPOSE: To investigate the relationship between automated and manually derived measurements of central retinal thickness from optical coherence tomography (OCT) and to determine the relationship between the foveal center point (FCP) and the foveal central subfield (FCS) in neovascular age-related macular degeneration (AMD). METHODS: Data were collected from 216 patients with newly diagnosed neovascular AMD, who underwent StratusOCT imaging at diagnosis. Raw StratusOCT images for each patient were analyzed with the publicly available custom software OCTOR, which allows accurate manual grading of OCT B-scans. Manually derived central retinal thickness measurements were compared with measurements obtained from automated StratusOCT analysis. Manually obtained measurements of FCP and FCS were also compared. RESULTS: The mean (+/-SD) difference in thickness between automated and manually derived FCP thickness was 7.9 microm (+/-90.8), but the maximum difference was 455 microm. The limits of agreement (95% confidence interval), between automated and manually obtained FCP thicknesses, were -173.7 microm (lower limit) and 189.6 microm (upper limit), with a coefficient of determination (R(2)) of 0.49 (P < 0.001). In contrast, the R(2) for manually derived FCP and manually derived FCS thickness was 0.94 (P < 0.001), with a smaller mean (+/-SD) difference in thickness of 13.8 microm (+/-29.8). CONCLUSIONS: Manual correction of errors in automated OCT segmentation may be necessary for accurate interpretation of anatomic outcomes for clinical trials of neovascular AMD. In addition, although measurement of FCS remains preferable for assessment of central retinal thickness, accurate measurement of FCP may represent an adequate alternative when FCS is unavailable.
Authors: Freerk G Venhuizen; Bram van Ginneken; Bart Liefers; Mark J J P van Grinsven; Sascha Fauser; Carel Hoyng; Thomas Theelen; Clara I Sánchez Journal: Biomed Opt Express Date: 2017-06-16 Impact factor: 3.732
Authors: Jason Kugelman; David Alonso-Caneiro; Scott A Read; Stephen J Vincent; Michael J Collins Journal: Biomed Opt Express Date: 2018-10-26 Impact factor: 3.732
Authors: Pearse A Keane; Praveen J Patel; Yanling Ouyang; Fred K Chen; Felicia Ikeji; Alexander C Walsh; Adnan Tufail; Srinivas R Sadda Journal: Invest Ophthalmol Vis Sci Date: 2010-06-16 Impact factor: 4.799
Authors: Srinivas R Sadda; Pearse A Keane; Yanling Ouyang; Jared F Updike; Alexander C Walsh Journal: Invest Ophthalmol Vis Sci Date: 2009-09-24 Impact factor: 4.799