Literature DB >> 34985627

En face optical coherence tomography transillumination for evaluation of retinal pigment epithelium alteration in central serous chorioretinopathy: correlation with multimodal imaging.

Maltsev D S1, Kulikov A N2, Burnasheva M A2, Chhablani J3.   

Abstract

PURPOSE: To study optical coherence tomography (OCT) en face imaging approach to evaluate retinal pigment epithelium (RPE) alteration in central serous chorioretinopathy (CSC).
METHODS: Forty eyes with CSC were imaged with structural en face OCT, fluorescein angiography (FA), and fundus autofluorescence (FAF). Structural en face OCT projections were generated using a 200-µm slab with the inner limit at the outer choroid to register choroidal hypertransmission signal in transillumination manner. Two masked graders independently defined the area of RPE alteration on resultant images. Agreement between graders and correlation between imaging modalities was assessed by kappa coefficients (k) and intraclass correlation coefficients (ICC), respectively.
RESULTS: The measurements derived from three methods were highly correlated with ICC of 0.99 (95% CI 0.99 to 1.0) for OCT and FA, 0.97 (95% CI 0.93 to 0.99) for OCT and FAF, and 0.98 (95% CI 0.95 to 0.99) for FA and FAF. For the measurement of the area of RPE alteration, kappa value for inter-grader agreement was 0.94 for OCT, 0.89 for FA, and 0.92 for FAF.
CONCLUSION: En face OCT proved a reliable tool for the noninvasive evaluation of RPE status in CSC.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Central serous chorioretinopathy; En face; Fluorescein angiography; Fundus autofluorescence; Optical coherence tomography; Retinal pigment epithelium

Mesh:

Year:  2022        PMID: 34985627     DOI: 10.1007/s00417-021-05537-x

Source DB:  PubMed          Journal:  Graefes Arch Clin Exp Ophthalmol        ISSN: 0721-832X            Impact factor:   3.117


  1 in total

1.  Predicting persistent central serous chorioretinopathy using multiple optical coherence tomographic images by deep learning.

Authors:  Donghyun Jee; Ji Hyun Yoon; Ho Ra; Jin-Woo Kwon; Jiwon Baek
Journal:  Sci Rep       Date:  2022-06-04       Impact factor: 4.996

  1 in total

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