Combining ocular and corneal wavefront data for detecting corneal ectasia

Session Details

Session Title: Imaging I

Session Date/Time: Monday 12/09/2016 | 14:30-16:30

Paper Time: 14:36

Venue: Hall C2

First Author: : F.Faria Correia PORTUGAL

Co Author(s): :    I. Ramos   B. Lopes   N. Franqueira   T. Monteiro   R. Ambrosio Jr        

Abstract Details

Purpose:

To investigate the application of aberrations from anterior corneal and from total ocular optics for detecting ectatic corneas.

Setting:

Rio de Janeiro Corneal Tomography and Biomechanics Study Group

Methods:

This study included: 84 normal eyes (N), 62 eyes with keratoconus (KC), and 27 forme fruste keratoconus (FFKC). FFKC criteria was the eye with normal curvature map from a patient with clinical keratoconus in the fellow eye. KC diagnosis was based on criteria as the Collaborative Longitudinal Evaluation of Keratoconus (CLEK) Study. Ocular and corneal wavefront data was obtained from the iTrace (Tracey Technologies, Houston, USA). The ability of the parameters to distinguish normal (N) and ectatic cases (FFKC and KC) was assessed by receiver operating characteristic (ROC) curve analysis. Logistic regression analysis was accomplished to optimize accuracy.

Results:

The best individual Zernike coefficient was the corneal vertical coma with an AUC of 0.985 (cut-off:-0.2266; sensitivity:88.9%; specificity:100%) considering KC cases. Considering FFKC, this aberration provided an AUC of 0.744 (cut-off:-0.0212; sensitivity:82.1%; specificity:58.3%). The combination of ocular and corneal high-order aberrations provided objective parameters using different strategies of logistic regression analysis with an AUC of 0.902, 0.921 and 0.924 considering all cases. Best function had 92.1% sensitivity and 98.6% specificity for detecting KC (cut-off:0.6914) and 81.5% sensitivity and 70.4% specificity for detecting FFKC (cut-off:0.2597) after optimization of the cut-off.

Conclusions:

Combination of ocular and corneal wavefront data improves the ability for detecting ectasia, which is more relevant when considering milder forms (FFKC). Further combination with tomographic and biomechanical data may enhance diagnostic accuracy.

Financial Disclosure:

... receives non-monetary benefits from a company producing, developing or supplying the product or procedure presented.