ESCRS - PO0732 - Performances Of Corneal Topography And Tomography In The Diagnosis Of Subclinical And Clinical Keratoconus

Performances Of Corneal Topography And Tomography In The Diagnosis Of Subclinical And Clinical Keratoconus

Published 2023 - 41st Congress of the ESCRS

Reference: PO0732 | Type: Free paper | DOI: 10.82333/jrxe-0x52

Authors: Cristina Ariadna Nicula* 1 , Dorin Nicula 2 , Patricia Nicula 2

1Ophthalmology,University of Medicine and Pharmacy "Iuliu Hațieganu" ,Cluj-Napoca,Romania, 2Ophthalmology,Oculens Clinic,Cluj-Napoca,Romania

Purpose

The purpose of the study was to assess the efficacy of topographical and tomographical indices given by the Pentacam (pachymetric, tomopetric, and aberometric) in clinical and subclinical keratoconus (KCN) diagnosis.

Setting

The setting of the study was Oculens Clinic, Cluj-Napoca, Romania.

Methods

In this observational analytic retrospective study, patients with abnormal findings in topography and tomography maps but with no signs on clinical examination (subclinical KCN group, sKCN), patients with clinical keratoconus (KCN group), and healthy subjects (Control group) were evaluated.

Results

The KCN group proved significantly different (p < 0.001) values of the investigated parameters than the Control group. Eleven out of 28 investigated parameters proved significantly different in the sKCN group compared to controls (p < 0.001). Two topographic measurements, namely I-S (cut-off = 1.435, a large value indicates the presence of KCN) and CCT (cut-off = 537, a small value indicates the presence of KCN), showed AUCs equal to 1 [0.999 to 1]. Six other Pentacam measurements, including Back maximum keratometry (Back Kmax) proved to be excellent parameters for case-finding and screening. In distinguishing sKCN from normal eyes, IVA, I-S value, TP, BAD_D and RMS total performed best.

Conclusions

In distinguishing sKCN from normal eyes, Back Kmax, IVA, I-S, and RMS total values demonstrated higher accuracy and utility. Six indices, namely ISV, IVA, KISA, PRC, RMS-HOA, and Back Kmax demonstrate excellent utility in case-finding and screening for clinical KCN.