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Updated: Jan 15, 2026
Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration
Published on: May 26, 2023
THE ROLE OF EN FACE IMAGING OF RETINAL PIGMENT EPITHELIUM ALTERATIONS IN RAPID CLASSIFICATION OF CENTRAL SEROUS
Zhengwei Zhang1,2, Callie Deng3, Jialiang Duan4
1Department of Ophthalmology, Wuxi No.2 People's Hospital, Affiliated Wuxi Clinical College of Nantong University, Wuxi, Jiangsu, China.
Purpose:
To investigate the role of widefield en face imaging of retinal pigment epithelium (RPE) alterations using swept-source optical coherence tomography for rapid classification of central serous chorioretinopathy (CSCR).
Methods:
In this cross-sectional, single-center study, eyes diagnosed with unilateral CSCR were included. Volume swept-source optical coherence tomography scans (12 × 12 mm) were obtained for all the participants. High-quality structural en face images were automatically generated at the level of Bruch membrane based on artificial intelligence to evaluate the RPE alterations.
Results:
The study included 122 affected eyes from patients with unilateral CSCR, with a mean age of 46.3 ± 9.1 years. In 51 of the 122 cases, fundus autofluorescence, fundus fluorescein angiography, indocyanine green angiography, and en face imaging were assessed simultaneously. Among these, 17 eyes were categorized as complex CSCR. Fundus autofluorescence exhibited the highest detection rate of RPE abnormalities (94.1%). En face imaging revealed RPE abnormalities in 15 of 17 eyes (88.2%), whereas indocyanine green angiography detected RPE abnormalities in 12 of 17 eyes (70.6%). Only 6 of 17 eyes (35.3%) showed RPE abnormalities in fundus fluorescein angiography. The RPE alterations in the remaining 71 eyes with CSCR were evaluated solely using en face imaging, wherein 17 eyes were designated as complex CSCR and 54 eyes were categorized as simple CSCR.
Conclusion:
Evaluation of RPE alterations using widefield en face imaging has potential as a reliable, noninvasive approach to rapid classification of CSCR using the latest classification system, particularly when combined with contralateral eye imaging results.
