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

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. Patients diagnosed with CNV were imaged by SD-OCTA and SS-OCTA systems using 3...

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Veröffentlicht in:Investigative ophthalmology & visual science Jg. 58; H. 3; S. 1506 - 1513
Hauptverfasser: 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.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States The Association for Research in Vision and Ophthalmology 01.03.2017
Schlagworte:
Aged
Aged, 80 and over
Algorithms
Automation
Choroid - blood supply
Choroid - pathology
Choroidal Neovascularization - pathology
Female
Fluorescein Angiography - methods
Fundus Oculi
Humans
Male
Middle Aged
Multidisciplinary Ophthalmic Imaging
Prospective Studies
Reproducibility of Results
Tomography, Optical Coherence - methods
ISSN:1552-5783, 0146-0404, 1552-5783
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Zusammenfassung: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. 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 (OMAGC) 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. 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). 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.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1552-5783
0146-0404
1552-5783
DOI:10.1167/iovs.16-20977