AUTOMATED RETINAL LAYER SEGMENTATION AND THEIR THICKNESS PROFILES IN HEALTHY SUBJECTS: A Comparison of 55° Wide-field and Conventional 30° SD-OCT.

Zimmermann-Giannakaki, Helena; Munk, Marion; Ebneter, Andreas; Wolf, Sebastian; Zinkernagel, Martin (2020). AUTOMATED RETINAL LAYER SEGMENTATION AND THEIR THICKNESS PROFILES IN HEALTHY SUBJECTS: A Comparison of 55° Wide-field and Conventional 30° SD-OCT. Retina, 40(10), pp. 2004-2009. Wolters Kluwer 10.1097/IAE.0000000000002714

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PURPOSE

To assess whether retinal thickness measurements with a standard 30° spectral domain optical coherence tomography (SD-OCT) are comparable with wide-field 55° SD-OCT.

METHODS

Thirty-three healthy individuals were scanned using 55° as well as 30° SD-OCT according to a standardized protocol. Automated retinal layer segmentation of standard and wide-field SD-OCTs was assessed using customized software.

RESULTS

Both lenses showed a high correlation when analyzing total retinal thickness within the central, the inner, and the outer retinal ring (r = > 0.9). Automated thickness measurements with the 55° system were marginally higher compared with the 30° lens. The thickness of each separate retinal layer using automated segmentation showed excellent correlations within the inner and outer rings (range: r = 0.6-r = 0.9 for the inner ring and range: r = 0.9-r = 1.0 for the outer ring).

CONCLUSION

Fifty-five degree wide-field SD-OCT provides a good overview of the posterior pole and presents similar quantitative values as a standard 30° OCT lens. Therefore, thickness values are comparable when switching between these two lenses.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ophthalmology

UniBE Contributor:

Zimmermann, Helena, Munk, Marion, Ebneter, Andreas, Wolf, Sebastian (B), Zinkernagel, Martin Sebastian

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1539-2864

Publisher:

Wolters Kluwer

Language:

English

Submitter:

Marion Munk

Date Deposited:

07 Jan 2020 09:53

Last Modified:

02 Mar 2023 23:32

Publisher DOI:

10.1097/IAE.0000000000002714

PubMed ID:

31834134

BORIS DOI:

10.7892/boris.136984

URI:

https://boris.unibe.ch/id/eprint/136984

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