Comparison of Retinal Thickness Measurements between the Topcon Algorithm and a Graph-Based Algorithm in Normal and Glaucoma Eyes

To assess the correlation and agreement between the Topcon built-in algorithm and our graph-based algorithm in measuring the total and regional macular thickness for normal and glaucoma subjects. A total of 228 normal eyes and 93 glaucomatous eyes were enrolled in our study. All patients underwent c...

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Veröffentlicht in:PloS one Jg. 10; H. 6; S. e0128925
Hauptverfasser: Gao, Enting, Chen, Binyao, Yang, Jianling, Shi, Fei, Zhu, Weifang, Xiang, Dehui, Chen, Haoyu, Zhang, Mingzhi, Chen, Xinjian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 04.06.2015
Public Library of Science (PLoS)
Schlagworte:
Algorithms
Comparative analysis
Correlation
Correlation analysis
Diabetes
Diabetes mellitus
Diabetic retinopathy
Diagnostic Techniques, Ophthalmological
Edema
Engineering
Eye
Eye (anatomy)
Female
Glaucoma
Glaucoma - diagnosis
Humans
Macula Lutea - pathology
Male
Medical imaging
Middle Aged
Ophthalmology
Optics
Retina
Retina - pathology
Retinopathy
Science
Search algorithms
Studies
Thickness measurement
China
ISSN:1932-6203, 1932-6203
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Zusammenfassung:To assess the correlation and agreement between the Topcon built-in algorithm and our graph-based algorithm in measuring the total and regional macular thickness for normal and glaucoma subjects. A total of 228 normal eyes and 93 glaucomatous eyes were enrolled in our study. All patients underwent comprehensive ophthalmic examination and Topcon 3D-OCT 2000 scan. One eye was randomly selected for each subject. The thickness of each layer and the total and regional macular thickness on an Early Treatment of Diabetic Retinopathy Study (ETDRS) chart were measured using the Topcon algorithm and our three-dimensional graph-based algorithm. Correlation and agreement analyses between these two algorithms were performed. Our graph search algorithm exhibited a strong correlation with Topcon algorithm. The macular GCC thickness values for normal and glaucoma subjects ranged from 0.86 to 0.91 and from 0.78 to 0.90, and the regional macular thickness values ranged from 0.79 to 0.96 and 0.70 to 0.95, respectively. Small differences were observed between the Topcon algorithm and our graph-based algorithm. The span of 95% limits of agreement of macular GCC thickness was less than 28 μm in both normal and glaucoma subjects, respectively. These limits of total and regional macular thickness were 15.5 μm and 23.1 μm for normal subjects and 29.1 μm and 46.4 μm for glaucoma subjects, respectively. Our graph-based algorithm exhibited a high degree of agreement with the Topcon algorithm with respect to thickness measurements in normal and glaucoma subjects. Moreover, our graph-based algorithm can segment the retina into more layers than the Topcon algorithm does.
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Competing Interests: The authors have declared that no competing interests exist.
Conceived and designed the experiments: MZ HC XC. Performed the experiments: BC JY EG. Analyzed the data: EG BC JY. Contributed reagents/materials/analysis tools: EG WZ DX. Wrote the paper: EG HC XC. Revised the first draft of thesis: EG XC HC FS DX.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0128925