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089). However, AUCs for each of these three parameters were significantly larger than LC area AUC (0.701; p≤0.001). Sensitivities at 80% specificity were PLNT area=92.3%, aBMO-MRW=97.4% and average pRNFL thickness=94.9%. Conclusions Comparing the diagnostic performance of different EDI OCT ONH parameters to discriminate between eyes with and without glaucoma, we found better results for neural tissue-based indexes (BMO-MRW and PNLT area) compared to laminar parameters. In this specific population, these neural tissue-based parameters (in
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