Active clinical trials for "Central Serous Chorioretinopathy"

The study will be designed as a case control evaluation to compare the genetic profiles of three groups of patients categorized according to diagnosis. Group 1 - CNV secondary to CSC Group 2 - CSC without CNV Group 3 - CNV secondary to advanced AMD.

To conduct a precision study to assess the microperimetry function of the Spectral OCT/SLO. The study will assess variability across measurements taken by three different operator-device configuration across clinical sites, variability between subjects within a given operator-device configuration, and variability within a subject for a single operator-device configuration.

Purpose: Central serous retinopathy (CSCR) is characterized by macular detachment due to thickened choroid mostly affecting young men under perceived stress. While most previous studies in CSCR have been retrospective and have focused on a single facet of the patient's personality, the investigators conducted a prospective intercontinental controlled study to analyze the multifaceted personality profile in CSCR. Design: Prospective interview. Participants and Controls: Subjects with CSCR consented to participate in a questionnaire. Controls not having retinal disease were recruited from the same clinic. Main Outcome Measures: The main parameters registered were presence of stress, daily number of cups caffeine intake, personality traits (Type A; obsessive-compulsive; aggressive). Methods: The interview consisted of a 60-item questionnaire. Recruitment of participants was from January 2015 to February 2016. Controls were matched for age, gender and race. Statistical analyses were done using univariate and multivariate analysis.

To determine changes in retinal and choroidal capillaries with optical coherence tomographic angiography (OCTA) after half-dose photodynamic therapy (hd-PDT) in eyes with central serous chorioretinopathy (CSC).

Deep learning allows you to classify images using a self-learning algorithm. Transfer learning builds on an existing self-learning algorithm to enable image classification with fewer images. In this study, this technique will be applied to different image modalities in different syndromes. Retrospective study design.

Thrombotic biomarkers and angiographic characteristics were compared among the de novo patients of central serous chorioretinopathy (CSC), polypoidal choroidal vasculopathy (PCV) and the control.