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.

Validation of Esaso Classification of Diabetic Maculopathy

Franzolin, Elia;Longo, Rosa;
2024-01-01

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.
2024
ESASO classification
diabetic macular edema (DME)
diabetic maculopathy (DM)
optical coherence tomography
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1113308
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact