2016
DOI: 10.1097/ijg.0000000000000448
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Consistency of Bruch Membrane Opening Detection as Determined by Optical Coherence Tomography

Abstract: Although BMO locations were consistent in most cases, in some cases, there were inconsistencies in BMO locations determined by OCT, especially in myopic eyes with peripapillary atrophy. Inconsistency in BMO detection resulted in changes in ONH parameters and retinal nerve fiber layer thickness. These finding should be considered when assessing glaucoma by using OCT.

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Cited by 15 publications
(33 citation statements)
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“… 28 In addition, Bruch's membrane may be absent in the area of peripapillary atrophy or might have decreased reflectivity in glaucoma and automated algorithms might no longer detect the BMO accurately. 29 31 All OCT images were reviewed by two of the authors (KNM and FS) to ensure proper segmentation of ILM and BMO, and hence, accurate BMO-MRW measurements. Almobarak and colleagues 30 compared the measurement error with automatic versus manual segmentation of ILM and BMO, and reported a median (IQR) difference in BMO-MRW measurement of 12.1 (10.1, 16.8) and 13.4 (10.6, 16.8) μm in healthy and glaucomatous subjects, respectively; neither was statistically significant.…”
Section: Discussionmentioning
confidence: 99%
“… 28 In addition, Bruch's membrane may be absent in the area of peripapillary atrophy or might have decreased reflectivity in glaucoma and automated algorithms might no longer detect the BMO accurately. 29 31 All OCT images were reviewed by two of the authors (KNM and FS) to ensure proper segmentation of ILM and BMO, and hence, accurate BMO-MRW measurements. Almobarak and colleagues 30 compared the measurement error with automatic versus manual segmentation of ILM and BMO, and reported a median (IQR) difference in BMO-MRW measurement of 12.1 (10.1, 16.8) and 13.4 (10.6, 16.8) μm in healthy and glaucomatous subjects, respectively; neither was statistically significant.…”
Section: Discussionmentioning
confidence: 99%
“…Among these eyes, those that underwent at least four RNFL and GCIPL OCT examinations between January 2010 and May 2017 were included. For OCT, only images with signal strengths ≥ 6 (range, 0–10), no segmentation error, no motion artefact and appropriate centration were included . Eyes that underwent ocular surgery or laser treatment during the follow‐up period were not included.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, a large number of images can be visualised at a glance. Previous studies have reported that RNFLD detection or progression assessment using an RNFL deviation map or sector map is affected by various factors, such as refractive error, RNFLD width, head tilt during the test or optic nerve head centre change . In contrast, GPA compares RNFL thickness maps that are automatically aligned to the baseline image.…”
Section: Discussionmentioning
confidence: 99%