Prediction of corneal curvature radius after pterygium surgery using anterior segment optical coherence tomography.

PURPOSE: To investigate the validity of a multiple regression equation to predict postoperative corneal curvature radius (K) in simultaneous cataract and pterygium surgery using preoperative factors, including preoperative K.

STUDY

DESIGN

Retrospective study.

METHODS

Seventy eyes of 58 patients who had undergone initial pterygium removal at the Hayashi Eye Hospital between June 2014 and December 2017 were included in this study. In all eyes, the shape of the cornea could be measured using anterior segment optical coherence tomography 2 months after surgery. The independent variables were determined using a multiple regression equation that predicted the average postoperative K on the basis of a single regression analysis of the average postoperative K and each preoperative parameter. A multiple regression equation was then formulated, and leave-one-out cross-validation was used to determine its validity.

RESULTS

Five independent variables were selected from a single regression analysis, and the multiple regression equation was formulated as follows. prediction of average K = 0.278 + (0.272 × central anterior K) + (0.276 × upper anterior K) + (0.329 × lower anterior K) + (0.113 × average posterior K) - (0.410 × horizontal pterygium size). These five variables were validated using leave-one-out cross-validation. The difference between the prediction average K and the average postoperative K, as determined using the multiple regression equation, 83% of cases had a difference ≤ 0.50 D.

CONCLUSIONS

We confirmed the validity and utility of our multiple regression equation for predicting postoperative K from the K before pterygium surgery.