The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects

Jia Tan,1,2,* Ye Yang,2,3,* Hong Jiang,2,4 Che Liu,2 Zhihong Deng,1,2 Byron L Lam,2 Liang Hu,3 Jonathan Oakley,5 Jianhua Wang2 1Department of Ophthalmology, Xiangya Hospital, Changsha, Hunan, People’s Republic of China; 2Bascom Palmer Eye Institute, University of Miami, Miami, FL, USA; 3S...

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Autores principales: Tan J, Yang Y, Jiang H, Liu C, Deng Z, Lam BL, Hu L, Oakley J, Wang J
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Publicado: Dove Medical Press 2016
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spelling oai:doaj.org-article:a1dfb52922e2470ba7e2bbadda3f8ecf2021-12-02T06:51:18ZThe measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects1177-5483https://doaj.org/article/a1dfb52922e2470ba7e2bbadda3f8ecf2016-11-01T00:00:00Zhttps://www.dovepress.com/the-measurement-repeatability-using-different-partition-methods-of-int-peer-reviewed-article-OPTHhttps://doaj.org/toc/1177-5483Jia Tan,1,2,* Ye Yang,2,3,* Hong Jiang,2,4 Che Liu,2 Zhihong Deng,1,2 Byron L Lam,2 Liang Hu,3 Jonathan Oakley,5 Jianhua Wang2 1Department of Ophthalmology, Xiangya Hospital, Changsha, Hunan, People’s Republic of China; 2Bascom Palmer Eye Institute, University of Miami, Miami, FL, USA; 3School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China; 4Department of Neurology, University of Miami, Miami, FL, 5Voxeleron LLC, Pleasanton, CA, USA *These authors contributed equally to this work Purpose: To determine the repeatability and profiles with different partition methods in intraretinal thickness layers in healthy human subjects, using optical coherence tomography (OCT). Methods: A custom-built ultrahigh-resolution OCT was used to acquire three-dimensional volume of the macula in 20 healthy subjects. The dataset was acquired twice using the macular cube 512×128 protocol in an area of 6×6 mm2 centered on the fovea. Commercially available segmentation software (Orion™) was used to segment the dataset into thickness maps of six intraretinal layers. The coefficient of repeatability and intraclass coefficient of correlation (ICC) were analyzed using hemispheric zoning and sectors defined by the Early Treatment Diabetic Retinopathy Study (ETDRS). Results: All datasets were successfully segmented to create six thickness maps of individual intraretinal layers. Coefficients of repeatabilities of these layers in hemispheric zones ranged from 0.9 to 6.6 µm, with an average of 3.6 µm (standard deviation [SD] 1.4), which was not significantly different compared to ETDRS sectors (P>0.05). ICCs of these layers in hemispheric zones ranged from 0.68 to 0.99, with an average of 0.91 (SD 0.07). There were no significant differences in ICCs between two zoning methods (P>0.05). Significant variations of tomographic intraretinal thicknesses were found between the inner and outer annuli and among the quadrantal sectors within the inner and outer annuli (P<0.05). Significant variations of the quadrantal sectors including both inner and outer annuli were evident in intraretinal layers (P<0.05) except for the outer plexiform layer. Conclusion: The measurement repeatabilities of tomographic thicknesses of intraretinal layers are comparable using both hemispheric and ETDRS partitions in volumetric data combined with the commercially available segmentation software. In keeping with known, normal anatomical variation, significant differences in tomographic thickness in various intraretinal layers were apparent in both hemispheric and ETDRS sectors. Keywords: intraretinal layer, thickness variation, tomography, healthy subjectTan JYang YJiang HLiu CDeng ZLam BLHu LOakley JWang JDove Medical Pressarticleintraretinal layerthickness variationtomographyhealthy subjectOphthalmologyRE1-994ENClinical Ophthalmology, Vol Volume 10, Pp 2403-2415 (2016)
institution DOAJ
collection DOAJ
language EN
topic intraretinal layer
thickness variation
tomography
healthy subject
Ophthalmology
RE1-994
spellingShingle intraretinal layer
thickness variation
tomography
healthy subject
Ophthalmology
RE1-994
Tan J
Yang Y
Jiang H
Liu C
Deng Z
Lam BL
Hu L
Oakley J
Wang J
The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects
description Jia Tan,1,2,* Ye Yang,2,3,* Hong Jiang,2,4 Che Liu,2 Zhihong Deng,1,2 Byron L Lam,2 Liang Hu,3 Jonathan Oakley,5 Jianhua Wang2 1Department of Ophthalmology, Xiangya Hospital, Changsha, Hunan, People’s Republic of China; 2Bascom Palmer Eye Institute, University of Miami, Miami, FL, USA; 3School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China; 4Department of Neurology, University of Miami, Miami, FL, 5Voxeleron LLC, Pleasanton, CA, USA *These authors contributed equally to this work Purpose: To determine the repeatability and profiles with different partition methods in intraretinal thickness layers in healthy human subjects, using optical coherence tomography (OCT). Methods: A custom-built ultrahigh-resolution OCT was used to acquire three-dimensional volume of the macula in 20 healthy subjects. The dataset was acquired twice using the macular cube 512×128 protocol in an area of 6×6 mm2 centered on the fovea. Commercially available segmentation software (Orion™) was used to segment the dataset into thickness maps of six intraretinal layers. The coefficient of repeatability and intraclass coefficient of correlation (ICC) were analyzed using hemispheric zoning and sectors defined by the Early Treatment Diabetic Retinopathy Study (ETDRS). Results: All datasets were successfully segmented to create six thickness maps of individual intraretinal layers. Coefficients of repeatabilities of these layers in hemispheric zones ranged from 0.9 to 6.6 µm, with an average of 3.6 µm (standard deviation [SD] 1.4), which was not significantly different compared to ETDRS sectors (P>0.05). ICCs of these layers in hemispheric zones ranged from 0.68 to 0.99, with an average of 0.91 (SD 0.07). There were no significant differences in ICCs between two zoning methods (P>0.05). Significant variations of tomographic intraretinal thicknesses were found between the inner and outer annuli and among the quadrantal sectors within the inner and outer annuli (P<0.05). Significant variations of the quadrantal sectors including both inner and outer annuli were evident in intraretinal layers (P<0.05) except for the outer plexiform layer. Conclusion: The measurement repeatabilities of tomographic thicknesses of intraretinal layers are comparable using both hemispheric and ETDRS partitions in volumetric data combined with the commercially available segmentation software. In keeping with known, normal anatomical variation, significant differences in tomographic thickness in various intraretinal layers were apparent in both hemispheric and ETDRS sectors. Keywords: intraretinal layer, thickness variation, tomography, healthy subject
format article
author Tan J
Yang Y
Jiang H
Liu C
Deng Z
Lam BL
Hu L
Oakley J
Wang J
author_facet Tan J
Yang Y
Jiang H
Liu C
Deng Z
Lam BL
Hu L
Oakley J
Wang J
author_sort Tan J
title The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects
title_short The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects
title_full The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects
title_fullStr The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects
title_full_unstemmed The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects
title_sort measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects
publisher Dove Medical Press
publishDate 2016
url https://doaj.org/article/a1dfb52922e2470ba7e2bbadda3f8ecf
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