Comprehensive evaluation of corneas from normal, forme fruste keratoconus and clinical keratoconus patients using morphological and biomechanical properties

Abstract Objective To more comprehensively evaluate the ability of parameters reflecting morphological and biomechanical properties cornea to distinguish clinical keratoconus (CKC) forme fruste (FFKC) from normal. Methods Normal eyes ( n = 50), CKC 45) FFKC 15) were analyzed using Pentacam, Corvis ST ORA. Stepwise logistic regression all was performed obtain optimal combination model capable distinguishing CKC, normal, named SLR1 SLR2, respectively. Receiver operating characteristic (ROC) curves applied determine predictive accuracy two models, as described by area under curve (AUC). AUCs compared DeLong method. Results The included only TBI output while SLR2 parameter F.Ele.Th ST, HC DfA SP-A1. majority had sufficient strength differentiate normal corneas, even seven separate a discrimination efficiency 100%. moderate for FFKC, (0.965) presented an excellent AUC, followed TBI, BAD-D. Conclusion Pentacam most sensitive F.Ele.Th, SP-A1 made diagnosis efficient. CRF CH ORA did not improve combined diagnosis, despite corneal that optimized FFKC.