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Validation of Esaso Classification of Diabetic Maculopathy

Authors :
Panozzo, Giacomo
Franzolin, Elia
Giannarelli, Diana
Dalla Mura, Giulia
Longo, Rosa
Cicinelli, Maria Vittoria
Angelini, Edoardo
Airaghi, Pietro
Avitabile, Teresio
Bandello, Francesco
Beccastrini, Andrea
Benedetti, Giorgia
Bertuzzi, Federico
Bonfiglio, Vincenza Maria Elena
Boscia, Francesco
Carnevali, Adriano
Carosielli, Marianna
Cereda, Matteo Giuseppe
Contardi, Cecilia
Coppola, Michele
Costagliola, Ciro
Cristofolini, Riccardo
Cucciniello, Pasquale
D’Aloisio, Rossella
De Bernardo, Maddalena
De Filippis, Alessandro
Dell’Omo, Roberto
Di Paola, Ilenia
Dell’Acqua, Matteo
Franco, Alessio
Grassi, Maria Oliva
Gregori, Giulia
Gusson, Elena
Lattanzio, Rosangela
Lanzetta, Paolo
Longo, Antonio
Marchini, Giorgio
Marolo, Paola
Mastropasqua, Rodolfo
Bertoldo, Giuliana Mele
Monteleone, Giuseppina
Ortisi, Elina
Parisi, Guglielmo
Parrulli, Salvatore
Pucci, Porzia
Pastore, Marco Rocco
Reibaldi, Michele
Rizzo, Stanislao
Romano, Francesco
Rosa, Nicola
Sarao, Valentina
Scarpa, Giuseppe
Scorcia, Vincenzo
Scupola, Andrea
Staurenghi, Giovanni
Sunseri Trapani, Valentina
Tognetto, Daniele
Trabucchi, Giuseppe
Vaccaro, Sabrina
Vadalà, Maria
Veritti, Daniele
Vinciguerra, Alex Lucia
Zanzottera, Emma Clara
Source :
European Journal of Ophthalmology; March 2024, Vol. 34 Issue: 2 p497-501, 5p
Publication Year :
2024

Abstract

Purpose To test reliability and reproducibility of ESASO morphologic OCT-based classification of diabetic maculopathy (DM).Methods This is a multi-center cross-sectional study including a coordination center (CC) and 18 participating centers (PCs). After instruction on the correct use of ESASO Classification, the validation process was carried out in two consecutive stages. In the first retrospective phase, we evaluated the concordance between PCs and CC in the staging of OCT images collected during PCs’ daily activity (608 images). In a second prospective phase, we analyzed the inter-observer agreement of staging assigned by each PCs to OCT images selected by the CC (22 images).Results The overall concordance achieved in the retrospective phase was 89.8% (Kappa = 0.83 (95% CI: 0.78–0.87); p<0.0001). In 99.5% of cases, concordance did not differ by more than one stage. In the prospective phase, PCs reached an inter-operator agreement of 93.0% (Krippendorff's Alpha = 0.953, 95% CI: 0.929–0.977, p<0.0001). Any discrepancy among the 22 images was within one stage.Conclusion The results achieved in this study confirm that ESASO OCT-based Classification can be considered as an easy and reproducible method to stage DM during clinical practice. A diffused use of a common and validated method to describe the progression of retinal damage in DM may offer several clinical and scientific advantages.

Details

Language :
English
ISSN :
11206721 and 17246016
Volume :
34
Issue :
2
Database :
Supplemental Index
Journal :
European Journal of Ophthalmology
Publication Type :
Periodical
Accession number :
ejs65675350
Full Text :
https://doi.org/10.1177/11206721231186649