Comparison of Choroidal Thickness Measurements Using Spectral Domain Optical Coherence Tomography in Six Different Settings and With Customized Automated Segmentation Software

Giannakaki-Zimmermann, Helena; Huf, Wolfgang; Schaal, Karen Beate; Schürch, Kaspar Werner; Dysli, Chantal-Simone; Dysli, Denise-Muriel; Zenger, Anita; Ceklic, Lala; Ciller, Carlos; Apostolopoulos, Stefanos; De Zanet, Sandro; Sznitman, Raphael; Ebneter, Andreas; Zinkernagel, Martin; Wolf, Sebastian; Munk, Marion (2019). Comparison of Choroidal Thickness Measurements Using Spectral Domain Optical Coherence Tomography in Six Different Settings and With Customized Automated Segmentation Software. Translational vision science & technology, 8(3), p. 5. Association for Research in Vision and Ophthalmology 10.1167/tvst.8.3.5

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Purpose: We investigate which spectral domain-optical coherence tomography (SD-OCT) setting is superior when measuring subfoveal choroidal thickness (CT) and compared results to an automated segmentation software. Methods: Thirty patients underwent enhanced depth imaging (EDI)-OCT. B-scans were extracted in six different settings (W+N = white background/normal contrast 9; W+H = white background/maximum contrast 16; B+N = black background/normal contrast 12; B+H = black background/maximum contrast 16; C+N = Color-encoded image on black background at predefined contrast of 9, and C+H = Color-encoded image on black background at high/maximal contrast of 16), resulting in 180 images. Subfoveal CT was manually measured by nine graders and by automated segmentation software. Intraclass correlation (ICC) was assessed. Results: ICC was higher in normal than in high contrast images, and better for achromatic black than for white background images. Achromatic images were better than color images. Highest ICC was achieved in B+N (ICC = 0.64), followed by B+H (ICC = 0.54), W+N, and W+H (ICC = 0.5 each). Weakest ICC was obtained with Spectral-color (ICC = 0.47). Mean manual CT versus mean computer estimated CT showed a correlation of r = 0.6 (P = 0.001). Conclusion: Black background with white image at normal contrast (B+N) seems the best setting to manually assess subfoveal CT. Automated assessment of CT seems to be a reliable tool for CT assessment. Translational Relevance: To define optimized OCT analysis settings to improve the evaluation of in vivo imaging.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ophthalmology
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Image Guided Therapy > ARTORG Center - Ophthalmic Technology Lab
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > Forschungsbereich Augenklinik > Forschungsgruppe Augenheilkunde

UniBE Contributor:

Schaal, Karen Beate; Schürch, Kaspar Werner; Dysli, Chantal-Simone; Dysli, Denise-Muriel; Zenger, Anita; Ciller, Carlos; Apostolopoulos, Stefanos; De Zanet, Sandro; Sznitman, Raphael; Ebneter, Andreas; Zinkernagel, Martin; Wolf, Sebastian and Munk, Marion

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

2164-2591

Publisher:

Association for Research in Vision and Ophthalmology

Language:

English

Submitter:

Marion Munk

Date Deposited:

15 Jul 2019 16:25

Last Modified:

23 Oct 2019 16:28

Publisher DOI:

10.1167/tvst.8.3.5

PubMed ID:

31110908

BORIS DOI:

10.7892/boris.130639

URI:

https://boris.unibe.ch/id/eprint/130639

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