Purpose. To measure foveal morphology using optical coherence tomography (OCT). Methods. Three examiners classified normal subjects and patients with macular edema and epiretinal membranes from a normative database (299 OCT scans) and a study sample (80 OCT scans) on the basis of the foveal depression appearance (reference classification). The following parameters were measured for each OCT scan: Central Foveal Thickness (CFT), Central Subfield Thickness (CST), Central Subfield Volume (CSV), Centrofoveal Index (CI), Parafoveal Index (PI), and Foveal Indices (FI1, FI2, FI3). Foveal depression of OCT scans in the study sample were classified based on the values of OCT parameters using Bayesian statistics (test classifications). Results. Agreement 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. Conclusions. IF3 seems to provide a reliable measure of the foveal morphology.

Giammaria, D., Savastano, M. C., Bartoli, B., Lettieri, M., Pellegrini, M. G., Tonti, E., Spadea, L., A new method to assess foveal morphology with optical coherence tomography, <<LA CLINICA TERAPEUTICA>>, 2019; 170 (3): 192-198. [doi:10.7417/CT.2019.2132] [http://hdl.handle.net/10807/201398]

A new method to assess foveal morphology with optical coherence tomography

Savastano, Maria Cristina;Pellegrini, Maria Grazia;
2019

Abstract

Purpose. To measure foveal morphology using optical coherence tomography (OCT). Methods. Three examiners classified normal subjects and patients with macular edema and epiretinal membranes from a normative database (299 OCT scans) and a study sample (80 OCT scans) on the basis of the foveal depression appearance (reference classification). The following parameters were measured for each OCT scan: Central Foveal Thickness (CFT), Central Subfield Thickness (CST), Central Subfield Volume (CSV), Centrofoveal Index (CI), Parafoveal Index (PI), and Foveal Indices (FI1, FI2, FI3). Foveal depression of OCT scans in the study sample were classified based on the values of OCT parameters using Bayesian statistics (test classifications). Results. Agreement 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. Conclusions. IF3 seems to provide a reliable measure of the foveal morphology.
2019
Inglese
Giammaria, D., Savastano, M. C., Bartoli, B., Lettieri, M., Pellegrini, M. G., Tonti, E., Spadea, L., A new method to assess foveal morphology with optical coherence tomography, <<LA CLINICA TERAPEUTICA>>, 2019; 170 (3): 192-198. [doi:10.7417/CT.2019.2132] [http://hdl.handle.net/10807/201398]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/201398
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