A new method to assess foveal morphology with optical coherence tomography

PurposeTo measure fovealmorphology using optical coherence tomography (OCT). MethodsThree examiners classified normal subjects and patients with macular edemaand epiretinal membranesfrom a normative database (299 OCT scans) and a study sample (80 OCT scans) on the basis of the fovealdepression appearance (reference classification). The following parameters were measured for each OCT scan: Central FovealThickness (CFT), Central Subfield Thickness (CST), Central Subfield Volume (CSV), Centrofoveal Index (CI), Parafoveal Index (PI), and FovealIndices (FI1, FI2, FI3). Fovealdepression of OCT scans in the study sample were classified based on the values of OCT parameters using Bayesian statistics(test classifications). ResultsAgreement between reference and test classifications was of 70% for CFT, 58.7% for CST, 60% for CSV, 80% for CI, 72.5% for PI, 88.7% for FI1, 96.2% for FI2 and 97.5% for FI3. ConclusionsIF3 seems to provide a reliable measure of the fovealmorphology