2022
DOI: 10.37039/1982.8551.20220103
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Identifying and understanding optical coherence tomography artifacts that may be confused with glaucoma

Abstract: Optical coherence tomography is often used for detection of glaucoma as well as to monitor progression. This paper reviews the most common types of artifacts on the optical coherence tomography report that may be confused with glaucomatous damage. We mainly focus on anatomy-related artifacts in which the retinal layer segmentation and thickness measurements are correct. In such cases, the probability maps (also known as deviation maps) show abnormal (red and yellow) regions, which may mislead the clinician to … Show more

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Cited by 3 publications
(5 citation statements)
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“…1 C, red vertical lines), which have been associated with FPs. 12 , 16 26 Estimated axial length (Est-AL ) —Previous work has documented the influence of axial length on the OCT measures. 27 38 Measures of axial length were available for only 276 of the 396 RDB eyes.…”
Section: Methodsmentioning
confidence: 99%
“…1 C, red vertical lines), which have been associated with FPs. 12 , 16 26 Estimated axial length (Est-AL ) —Previous work has documented the influence of axial length on the OCT measures. 27 38 Measures of axial length were available for only 276 of the 396 RDB eyes.…”
Section: Methodsmentioning
confidence: 99%
“…D, Simulation of cyclorotation (head tilt). Used with permission from Leshno et al 36 RNFL indicates retinal nerve fiber layer.…”
Section: Glaucoma-like Artifacts Due To Variation In the Anatomy Of R...mentioning
confidence: 99%
“…17 Note that the GCL probability map has an unrelated circum-foveal artifact discussed in the following sections. Used with permission from Leshno et al 36 cpRNFL indicates circumpapillary retinal nerve fiber layer; GCL, ganglion cell layer; RNFL, retinal nerve fiber layer; VF, visual field. Figure 5 can be viewed in color online at www.glaucomajournal.com.…”
Section: Glaucoma-like Artifacts Due To Variation In the Anatomy Of R...mentioning
confidence: 99%
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“…The evidence-based literatures about bias of automated segmentations carry questions about accuracy and perfection of SD-OCT cpRNFLT in diagnosis and follow up of glaucoma and neurological disease. Large optic nerve, ONH drusen, parapillary optic atrophy, posterior vitreous detachment (PVD), tilted disc, congenital disc anomalies, epiretinal membrane, high myopia, bad centration all lead to failure of true automated segmentation [5][6][7][8][9][10]. Before making diagnostic decisions based on conventional printout of RNFL thickness, ophthalmologists should note if the patient has any abnormal ONH that may cause OCT artefacts and affect RNFL thickness interpretations.…”
Section: Introductionmentioning
confidence: 99%