Objective To quantitatively evaluate the changes of choroidal biomarkers in patients with central serous chorioretinopathy (CSC) and preliminarily explore its pathogenesis. MethodsClinical cross-sectional study. From July 2021 to December 2022, 74 eyes of 65 patients with CSC (CSC group) confirmed by ophthalmic examination at the First Affiliated Hospital of Zhengzhou University were included in the study. Among them, 46 patients (51 eyes) were male, 19 patients (23 eyes) were female. The duration from the onset of symptoms to the time of treatment was less than or equal to 3 months. A control group consisted of 40 healthy volunteers (74 eyes) matched in age and gender. Among them, 26 patients (50 eyes) were male, and 14 patients (24 eyes) were female. Using VG200D from Microimaging (Henan) Technology Co., Ltd., macular scanning source light coherence tomography angiography was performed, with scanning range 6 mm × 6 mm. According to the division of the diabetes retinopathy treatment research group, the choroid within 6 mm of the macular fovea was divided into three concentric circles centered on the macular fovea, namely, the central area with a diameter of 1 mm, the macular area with a diameter of 1-3 mm, and the surrounding area of the fovea with a diameter of 3-6 mm. The device comes with software to record the three-dimensional choroidal vascular index (CVI), choroidal vascular volume (CVV), perfusion area of the choroidal capillary layer (CFA), choroidal thickness (CT), and three-dimensional CVI, CVV, and CT in the upper, temporal, lower, and subnasal quadrants within 6 mm of the fovea. Quantitative data between the two groups were compared using an independent sample t-test. Qualitative data comparison line χ2 inspection. The value of receiver operating curve (ROC) analysis in predicting the occurrence of CSC, including CVI, CVV, CFA, and CT. ResultsCompared with the control group, the CVI (t=3.133, 4.814), CVV (t=7.504, 9.248), and CT (t=10.557, 10.760) in the central and macular regions of the affected eyes in the CSC group significantly increased, while the CFA (t=－8.206, －5.065) significantly decreased, with statistically significant differences (P＜0.05); CVI (t=7.129), CVV (t=10.020), and CT (t=10.488) significantly increased within 6 mm of the central fovea, while CFA (t=－2.548) significantly decreased, with statistically significant differences (P＜0.05). The CVI (t=4.980, 4.201, 4.716, 8.491), CVV (t=9.014, 7.156, 7.719, 10.730), and CT (t=10.077, 8.700, 8.960, 11.704) in the upper, temporal, lower, and lower nasal quadrants within 6 mm of the central fovea were significantly increased, with statistically significant differences (P＜0.05). In the CSC group, the maximum CVI and CVV were (0.39±0.10)% and (1.09±0.42) mm3, respectively, on the nasal side of the affected eye. Upper CT was (476.02±100.89) μm. The nasal side CVI, CVV, and CT have the largest changes. The ROC curve analysis results showed that the area under the curve of CT, CVV, and CVI within 6 mm of the central region, macular region, and fovea was over than 0.5. Subcentral CT was the most specific for the diagnosis of CSC. ConclusionChoroidal biomarkers CVI, CVV, and CT in CSC patients increase, while CFA decreases. Central CT is the most specific for the diagnosis of CSC.
ObjectiveTo observe the clinical characteristics and risk factors associated with pachydrusen in eyes affected by central serous chorioretinopathy (CSC). MethodsA retrospective clinical study. From July 2021 to June 2024, 144 cases and 158 eyes of CSC patients diagnosed through ophthalmological examination at Department of Ophthalmology of The First Affiliated Hospital of Zhengzhou University were included. All affected eyes underwent a series of assessments, including refraction, intraocular pressure measurement, fundus color photography, fluorescein fundus angiography (FFA), and swept-source optical coherence tomography (OCT). Additionally, 58 eyes underwent indocyanine green angiography (ICGA). Cross-sectional (en-face) OCT was utilized to observe the colocalization of pachydrusen with areas of dilation of large choroidal vessels and attenuation of the choriocapillaris layer. The device was used for OCT included software for calculating subfoveal choroidal thickness (SFCT). FFA fluorescein leakage was categorized into “ink stain”, “cooking smoke”, and “diffuse point leakage”. Patients were classified into groups of CSC patients complicated by pachydrusen and groups of CSC patients without pachydrusen. Comparisons between the groups were performed using the χ2 test, and factors associated with the presence of pachydrusen were analyzed using logistic regression. ResultsAmong 158 eyes, 72 eyes (45.6%, 72/158) were complicated by pachydrusen. In en-face OCT images, pachydrusen were co-located with dilated outer choroidal vessels in 59 eyes (81.94%, 59/72) and corresponded to choroidal capillary layer blood flow holes in 61 eyes (84.72%, 61/72). Among the 58 eyes that underwent ICGA examination, pachydrusen corresponded to punctate strong fluorescence in 46 eyes (79.31%, 46/58) and were located in areas of choroidal hyperpermeability in 43 eyes (74.14%, 43/58). Compared with the CSC group without pachydrusen, the incidence of choroidal neovascularization, flat irregular pigment epithelial detachment, diffuse punctal leakage and multiple leakage points increased in the CSC group, and the differences were statistically significant (χ2=6.217, 8.455, 5.363, 17.749; P＜0.05). Logistic regression analysis indicated that age [odds ratio (OR)=1.116, 95% confidence interval (CI) 1.060-1.176, P＜0.001], chronic CSC [OR=2.628, 95%CI 1.250-5.526, P=0.011] were independent risk factors for the occurrence of pachydrusen. ConclusionsThe incidence of pachydrusen in eyes with CSC is 45.6%, with age and cCSC identified as independent risk factors for their occurrence. Pachydrusen correspond to dilated choroidal vessels and areas of choroidal hyperpermeability, which may serve as potential risk factors for CSC activity or development.