A Model for Predicting Sulcus-To-Sulcus Diameter in Posterior Chamber Phakic Intraocular Lens Candidates: Correlation Between Ocular Biometric Parameters Publisher Pubmed



Ghoreishi M^{1, 2} ; Abdishahshahani M^{3, 4} ; Peyman A³ ; Pourazizi M³ Show Affiliations
Source: International Ophthalmology Published:2019

Abstract

Purpose: The aim of this study was to determine the correlation between ocular biometric parameters and sulcus-to-sulcus (STS) diameter. Methods: This was a cross-sectional study of preoperative ocular biometry data of patients who were candidates for phakic intraocular lens (IOL) surgery. Subjects underwent ocular biometry analysis, including refraction error evaluation using an autorefractor and Orbscan topography for white-to-white (WTW) corneal diameter and measurement. Pentacam was used to perform WTW corneal diameter and measurements of minimum and maximum keratometry (K). Measurements of STS and angle-to-angle (ATA) were obtained using a 50-MHz B-mode ultrasound device. Anterior optical coherence tomography was performed for anterior chamber depth measurement. Pearson’s correlation test and stepwise linear regression analysis were used to find a model to predict STS. Results: Fifty-eight eyes of 58 patients were enrolled. Mean age ± standard deviation of sample was 28.95 ± 6.04 years. The Pearson’s correlation coefficient between STS with WTW, ATA, mean K was 0.383, 0.492, and − 0.353, respectively, which was statistically significant (all P < 0.001). Using stepwise linear regression analysis, there is a statistically significant association between STS with WTW (P = 0.011) and mean K (P = 0.025). The standardized coefficient was 0.323 and − 0.284 for WTW and mean K, respectively. The stepwise linear regression analysis equation was: (STS = 9.549 + 0.518 WTW − 0.083 mean K). Conclusion: Based on our result, given the correlation of STS with WTW and mean K and potential of direct and essay measurement of WTW and mean K, it seems that current IOL sizing protocols could be estimating with WTW and mean K. © 2018, Springer Science+Business Media B.V., part of Springer Nature.