ArticleInternational journal of retina and vitreous2017
Segmentation errors in macular ganglion cell analysis as determined by optical coherence tomography in eyes with macular pathology.
Article in International journal of retina and vitreous, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- Human expert grading versus automated quantification of fluid volumes in nAMD, DME and BRVO.Scientific reports · 2025Article
- Hybrid deep learning and optimal graph search method for optical coherence tomography layer segmentation in diseases affecting the optic nerve.Biomedical optics express · 2024Article
- Inner Macular Changes in Fellow Eye of Patients With Unilateral Idiopathic Epiretinal Membrane.Investigative ophthalmology & visual science · 2021Article
- Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning.Translational vision science & technology · 2020Article
- Changes in the Ganglion Cell-inner Plexiform Layer after Consecutive Intravitreal Injections of Anti-vascular Endothelial Growth Factor in Age-related Macular Degeneration Patients.Korean journal of ophthalmology : KJO · 2020Article
- Signal reduction in choriocapillaris and segmentation errors in spectral domain OCT angiography caused by soft drusen.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2017Article
- Artifacts in Macular Optical Coherence Tomography.Journal of current ophthalmologyReview
- Deep-Learning-Based Group Pointwise Spatial Mapping of Structure to Function in Glaucoma.Ophthalmology scienceArticle
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo evaluate artifacts in macular ganglion cell inner plexiform layer (GCIPL) thickness measurement in eyes with retinal pathology using spectral-domain optical coherence tomography (SD OCT).
methodsRetrospective analysis of color-coded maps, infrared images and 128 horizontal B-scans (acquired in the macular ganglion cell inner plexiform layer scans), using the Cirrus HD-OCT (Carl Zeiss Meditec, Dublin, CA). The study population included 105 eyes with various macular conditions compared to 30 eyes of 30 age-matched healthy volunteers. The overall frequency of image artifacts and the relative frequency of artifacts were stratified by macular disease.
resultsScan errors and artifacts were found in 55.1% of the 13,440 B-scans in eyes with macular pathology and 26.8% of the 3840 scans in normal eyes. Segmentation errors were the most common scan error in both groups, with more common involvement of both segmentation borders in diseased eyes and anterior segmentation border in normal eyes.
conclusionSegmentation errors and artifacts in SD OCT GCA are common in conditions involving the macula. These findings should be considered when assessing macular GCIPL thickness and careful assessment of scans is suggested.
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