Posters

Comparative postoperative topography pattern recognition analysis using axial vs. tangential curvature maps

Poster Details

First Author: J.Randleman USA

Co Author(s):    R. Shah                    

Abstract Details

Purpose:

To determine prediction accuracy of patient refractive surgery status by novice reviewers based on topography pattern analysis for axial or tangential anterior curvature maps.

Setting:

Four US Academic Centers

Methods:

Image evaluation by novice reviewers (n=52) at four academic institutions as a prospective case control study. Participants were shown 60 total images from 30 different eyes with known refractive surgery status, including 12 eyes imaged with Placido based topography and 18 eyes imaged with Scheimpflug based tomography. There were 12 eyes with myopic ablations, 12 eyes with hyperopic ablations, and 6 eyes with no previous refractive surgery performed. Each eye was shown in both axial and tangential curvature for either device, reviewed as a single image at a time and masked to the map type (axial vs. tangential).

Results:

Accuracy of pattern identification was 82.9% for tangential vs. 55.0% for axial maps (p<0.00001) for eyes with myopic ablations, 90.9% for tangential vs. 58.3% for axial maps for eyes with hyperopic ablation (p<0.00001), and 15.4% for tangential vs. 62.8% for axial maps for eyes with no ablation (p<0.00001). There were no significant differences across groups from different institutions or by year of training.

Conclusions:

Tangential curvature maps yielded significantly better pattern recognition accuracy compared to axial maps after myopic and hyperopic corneal refractive surgery ablations for novice reviewers. Utilizing tangential curvature maps, especially for challenging cases, should benefit post-LASIK IOL calculator selection and thereby improve IOL power calculation accuracy.

Financial Disclosure:

None