Differential diagnosis algorithms of сentral serous chorioretinopathy and adult-onset vitelliform dystrophies

Abstract

Purpose.To optimize the differential diagnosis of chronic central serous chorioretinopathy (CSCR) and of adult-onset vitelliform dystrophies (VD). Research objectives. On the multimodal diagnosis basis, to investigate signs characteristic for VD and chronic CSCR using mathematic modeling, to elaborate algorithms of their differential diagnosis in settings of differently equipped clinics.
 Materials and methods.61 patient (90 eyes) with long-term neuroepithelial detachments (NEDs) were included in the study. In all patients, the disease history was collected, including the family history; all patients underwent a standard ophthalmologic examination: visual acuity testing including best corrected visual acuity (BCVA), biomicroophthalmoscopy, fundus photography, spectral domain optical coherence tomography (SD-OCT) and optical coherence tomography angiography (OCT-A), short-wavelength autofluorescence (SW-AF), fluorescein angiography (FA), indocyanine green angiography (ICGA). Patients were divided into two groups: with vitelliform dystrophies 30 patients (30 eyes), and with CSCR 31 patients (31 eyes). To estimate the probability of disease detection, binary logistic regression method was used.
 Results.Diagnostic predictors found in both groups were scrutinized; mathematical models for estimating the probability of disease detection were obtained. Differential diagnostics algorithms have been developed taking into account the resulting formulas for calculating the probability of disease detection, including criteria of different examination combinations: SD-OCT (area under ROC curve 0.946); BAF (area under ROC curve 0.955), SD-OCT and SW-AF (area under ROC curve 0.980); SW-AF, FA and ICGA (area under ROC curve 0.989).
 Conclusion.The obtained models make it possible to carry out differential diagnosis of vitelliform dystrophies and chronic CSCR in settings of differently equipped clinics.