Segmentation errors in macular ganglion cell analysis as determined by optical coherence tomography in eyes with macular pathology

被引：30
作者：
Alshareef R.A. [1 ,2 ]
Goud A. [3 ]
Mikhail M. [1 ]
Saheb H. [1 ]
Peguda H.K. [3 ]
Dumpala S. [3 ]
Rapole S. [3 ]
Chhablani J. [3 ]
机构：
[1] Department of Ophthalmology, McGill University, Montreal, QC
[2] Department of Ophthalmology, King Abdulaziz University, Jeddah
[3] Smt. Kanuri Santhamma Retina Vitreous Centre, L. V. Prasad Eye Institute, Kallam Anji Reddy Campus, Banjara Hills, Hyderabad
来源：
International Journal of Retina and Vitreous | / 3卷 / 1期
关键词：
Artifacts; Errors; Ganglion cell algorithm; Ganglion cell inner plexiform layer; Spectral domain optical coherence tomography;
D O I：
10.1186/s40942-017-0078-7
中图分类号：
学科分类号：
摘要：
Background: To 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). Methods: Retrospective 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. Results: Scan 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. Conclusion: Segmentation 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. © The Author(s) 2017.
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