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Automated Quantitation of Choroidal Neovascularization: A Comparison Study Between Spectral-Domain and Swept-Source OCT Angiograms

PURPOSE: To compare the lesion sizes of choroidal neovascularization (CNV) imaged with spectral-domain (SD) and swept-source (SS) optical coherence tomography angiography (OCTA) and measured using an automated detection algorithm. METHODS: Patients diagnosed with CNV were imaged by SD-OCTA and SS-OC...

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Autores principales: Zhang, Qinqin, Chen, Chieh-Li, Chu, Zhongdi, Zheng, Fang, Miller, Andrew, Roisman, Luiz, Rafael de Oliveira Dias, Joao, Yehoshua, Zohar, Schaal, Karen B., Feuer, William, Gregori, Giovanni, Kubach, Sophie, An, Lin, Stetson, Paul F., Durbin, Mary K., Rosenfeld, Philip J., Wang, Ruikang K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361585/
https://www.ncbi.nlm.nih.gov/pubmed/28273317
http://dx.doi.org/10.1167/iovs.16-20977
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author Zhang, Qinqin
Chen, Chieh-Li
Chu, Zhongdi
Zheng, Fang
Miller, Andrew
Roisman, Luiz
Rafael de Oliveira Dias, Joao
Yehoshua, Zohar
Schaal, Karen B.
Feuer, William
Gregori, Giovanni
Kubach, Sophie
An, Lin
Stetson, Paul F.
Durbin, Mary K.
Rosenfeld, Philip J.
Wang, Ruikang K.
author_facet Zhang, Qinqin
Chen, Chieh-Li
Chu, Zhongdi
Zheng, Fang
Miller, Andrew
Roisman, Luiz
Rafael de Oliveira Dias, Joao
Yehoshua, Zohar
Schaal, Karen B.
Feuer, William
Gregori, Giovanni
Kubach, Sophie
An, Lin
Stetson, Paul F.
Durbin, Mary K.
Rosenfeld, Philip J.
Wang, Ruikang K.
author_sort Zhang, Qinqin
collection PubMed
description PURPOSE: To compare the lesion sizes of choroidal neovascularization (CNV) imaged with spectral-domain (SD) and swept-source (SS) optical coherence tomography angiography (OCTA) and measured using an automated detection algorithm. METHODS: Patients diagnosed with CNV were imaged by SD-OCTA and SS-OCTA systems using 3 × 3-mm and 6 × 6-mm scans. The complex optical microangiography (OMAG(C)) algorithm was used to generate the OCTA images. Optical coherence tomography A datasets for imaging CNV were derived by segmenting from the outer retina to 8 μm below Bruch's membrane. An artifact removal algorithm was used to generate angiograms free of retinal vessel projection artifacts. An automated detection algorithm was developed to quantify the size of the CNV. Automated measurements were compared with manual measurements. Measurements from SD-OCTA and SS-OCTA instruments were compared as well. RESULTS: Twenty-seven eyes from 23 subjects diagnosed with CNV were analyzed. No significant differences were detected between manual and automatic measurements: SD-OCTA 3 × 3-mm (P = 0.61, paired t-test) and 6 × 6-mm (P = 0.09, paired t-test) scans and the SS-OCTA 3 × 3-mm (P = 0.41, paired t-test) and 6 × 6-mm (P = 0.16, paired t-test) scans. Bland-Altman analyses were performed to confirm the agreement between automatic and manual measurements. Mean lesion sizes were significantly larger for the SS-OCTA images compared with the SD-OCTA images: 3 × 3-mm scans (P = 0.011, paired sample t-test) and the 6 × 6-mm scans (P = 0.021, paired t-test). CONCLUSIONS: The automated algorithm measurements of CNV were in agreement with the hand-drawn measurements. On average, automated SS-OCTA measurements were larger than SD-OCTA measurements and consistent with the results from using hand-drawn measurements.
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spelling pubmed-53615852017-03-27 Automated Quantitation of Choroidal Neovascularization: A Comparison Study Between Spectral-Domain and Swept-Source OCT Angiograms Zhang, Qinqin Chen, Chieh-Li Chu, Zhongdi Zheng, Fang Miller, Andrew Roisman, Luiz Rafael de Oliveira Dias, Joao Yehoshua, Zohar Schaal, Karen B. Feuer, William Gregori, Giovanni Kubach, Sophie An, Lin Stetson, Paul F. Durbin, Mary K. Rosenfeld, Philip J. Wang, Ruikang K. Invest Ophthalmol Vis Sci Multidisciplinary Ophthalmic Imaging PURPOSE: To compare the lesion sizes of choroidal neovascularization (CNV) imaged with spectral-domain (SD) and swept-source (SS) optical coherence tomography angiography (OCTA) and measured using an automated detection algorithm. METHODS: Patients diagnosed with CNV were imaged by SD-OCTA and SS-OCTA systems using 3 × 3-mm and 6 × 6-mm scans. The complex optical microangiography (OMAG(C)) algorithm was used to generate the OCTA images. Optical coherence tomography A datasets for imaging CNV were derived by segmenting from the outer retina to 8 μm below Bruch's membrane. An artifact removal algorithm was used to generate angiograms free of retinal vessel projection artifacts. An automated detection algorithm was developed to quantify the size of the CNV. Automated measurements were compared with manual measurements. Measurements from SD-OCTA and SS-OCTA instruments were compared as well. RESULTS: Twenty-seven eyes from 23 subjects diagnosed with CNV were analyzed. No significant differences were detected between manual and automatic measurements: SD-OCTA 3 × 3-mm (P = 0.61, paired t-test) and 6 × 6-mm (P = 0.09, paired t-test) scans and the SS-OCTA 3 × 3-mm (P = 0.41, paired t-test) and 6 × 6-mm (P = 0.16, paired t-test) scans. Bland-Altman analyses were performed to confirm the agreement between automatic and manual measurements. Mean lesion sizes were significantly larger for the SS-OCTA images compared with the SD-OCTA images: 3 × 3-mm scans (P = 0.011, paired sample t-test) and the 6 × 6-mm scans (P = 0.021, paired t-test). CONCLUSIONS: The automated algorithm measurements of CNV were in agreement with the hand-drawn measurements. On average, automated SS-OCTA measurements were larger than SD-OCTA measurements and consistent with the results from using hand-drawn measurements. The Association for Research in Vision and Ophthalmology 2017-03 /pmc/articles/PMC5361585/ /pubmed/28273317 http://dx.doi.org/10.1167/iovs.16-20977 Text en Copyright 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Multidisciplinary Ophthalmic Imaging
Zhang, Qinqin
Chen, Chieh-Li
Chu, Zhongdi
Zheng, Fang
Miller, Andrew
Roisman, Luiz
Rafael de Oliveira Dias, Joao
Yehoshua, Zohar
Schaal, Karen B.
Feuer, William
Gregori, Giovanni
Kubach, Sophie
An, Lin
Stetson, Paul F.
Durbin, Mary K.
Rosenfeld, Philip J.
Wang, Ruikang K.
Automated Quantitation of Choroidal Neovascularization: A Comparison Study Between Spectral-Domain and Swept-Source OCT Angiograms
title Automated Quantitation of Choroidal Neovascularization: A Comparison Study Between Spectral-Domain and Swept-Source OCT Angiograms
title_full Automated Quantitation of Choroidal Neovascularization: A Comparison Study Between Spectral-Domain and Swept-Source OCT Angiograms
title_fullStr Automated Quantitation of Choroidal Neovascularization: A Comparison Study Between Spectral-Domain and Swept-Source OCT Angiograms
title_full_unstemmed Automated Quantitation of Choroidal Neovascularization: A Comparison Study Between Spectral-Domain and Swept-Source OCT Angiograms
title_short Automated Quantitation of Choroidal Neovascularization: A Comparison Study Between Spectral-Domain and Swept-Source OCT Angiograms
title_sort automated quantitation of choroidal neovascularization: a comparison study between spectral-domain and swept-source oct angiograms
topic Multidisciplinary Ophthalmic Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361585/
https://www.ncbi.nlm.nih.gov/pubmed/28273317
http://dx.doi.org/10.1167/iovs.16-20977
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