Biomarkers predicting central serous chorioretinopathy episode persistence

Abstract

Purpose The purpose of this study was to identify biomarkers at presentation that are associated with a persistent central serous chorioretinopathy (CSC) episode. Methods The prospective study included 35 patients with an acute CSC episode. Potential clinical and imaging biomarkers were evaluated at baseline and 3 months from the episode onset. As biomarkers age, sex, steroid use, episode recurrence, central retinal thickness (CRT), macular volume (MV), choroidal thickness (CT), pigment epithelial detachment (PED) height, and width, number of retinal hyperreflective foci (HF), leakage pattern, and area of retinal pigment epithelial (RPE) alterations were investigated. Results At 3 months from the CSC episode onset, spontaneous resolution occurred in 19 patients, while 16 patients had a persistent CSC episode. The group of patients with a persistent episode was statistically significantly associated with female sex (p = 0.032), older age (p = 0.015), wider PED (p = 0.005), and higher number of HF (p = 0.02). Moreover, this group of patients had a significant association with thinner choroid and diffuse RPE alterations as a pair (p = 0.008). Conclusions Older and female CSC patients with wider PED, increased number of HF, thinner choroid, and diffuse RPE alterations at presentation are inclined to episode persistence and could benefit from earlier treatment.

Analysis of optical coherence tomography biomarker probability detection in central serous chorioretinopathy by using an artificial intelligence-based biomarker detector

“…However, no differences for HF and FIPED were found between aCSC and cCSC. Previous studies have utilized specific OCT parameters, like increased choroidal thickness (CT), elevated choroidal vascularity index (CVI) and choroidal HF to identify and diagnose CSC [7,8,14,15]. However, no consistent evidence for distinctive OCT biomarkers to establish the CSC diagnosis?…”

Analysis of optical coherence tomography biomarker probability detection in central serous chorioretinopathy by using an artificial intelligence-based biomarker detector

“…Previous studies have utilized speci c OCT parameters, like increased choroidal thickness (CT), elevated choroidal vascularity index (CVI) and choroidal HF to identify and diagnose CSC (7,8,14,15). However, no consistent evidence for distinctive OCT biomarkers to establish the CSC diagnosis?…”

Baseline Spectral Domain Optical Coherence Tomographic Retinal Layer Features Identified by Artificial Intelligence Predict the Course of Central Serous Chorioretinopathy

“…Several studies have previously examined the predictive role of retinal biomarkers in CSC. [17][18][19] In a recent study, Singh et al analyzed the imaging biomarkers in a large sample (n = 231 of 201 patients with CSC) for the prediction of the disease clinical course. They found that the resolution of the disease was correlated with changes in central macular thickness and subfoveal choroidal thickness, whereas modifications in visual acuity at 12 months were associated with SRF height.…”