Article

Evaluation of intraocular lens power prediction methods using the American Society of Cataract and Refractive Surgeons Post-Keratorefractive Intraocular Lens Power Calculator

Wang, Li MD, PhD; Hill, Warren E. MD; Koch, Douglas D. MD^∗

From Cullen Eye Institute (Wang, Koch), Baylor College of Medicine, Houston, Texas, and a private practice, Mesa, Arizona, USA

^∗Corresponding author: Douglas D. Koch, MD, Cullen Eye Institute, Baylor College of Medicine, 6565 Fannin, NC205, Houston, Texas 77030, USA.

E-mail: [email protected]

Submitted: January 5, 2010.

Final revision submitted: February 11, 2010.

Accepted: March 22, 2010.

Supported in part by an unrestricted grant from Research to Prevent Blindness, New York, New York, USA. Development of the ASCRS Post-Refractive Surgery IOL Calculator was underwritten by the American Society of Cataract and Refractive Surgeons Foundation through an unrestricted educational grant from Alcon, Inc.

Presented in part at the ASCRS Symposium on Cataract, IOL and Refractive Surgery, San Francisco, California, USA, April 2008.

Journal of Cataract & Refractive Surgery 36(9):p 1466-1473, September 2010. | DOI: 10.1016/j.jcrs.2010.03.044

Abstract

PURPOSE:

To evaluate the accuracy of methods of intraocular lens (IOL) power prediction after previous laser in situ keratomileusis (LASIK) or photorefractive keratectomy (PRK) using the American Society of Cataract and Refractive Surgery IOL power calculator.

SETTING:

Cullen Eye Institute, Baylor College of Medicine, Houston, Texas, and private practice, Mesa, Arizona, USA.

METHODS:

The following methods were evaluated: methods using pre-LASIK/PRK keratometry (K) and surgically induced change in refraction, methods using surgically induced change in refraction, and methods using no previous data. The predicted IOL power was calculated with each method using the actual refraction after cataract surgery as the target. The IOL prediction error was calculated as the implanted IOL power minus the predicted IOL power. Arithmetic and absolute IOL prediction errors, variances in mean arithmetic IOL prediction error, and percentage of eyes within ±0.50 diopter (D) and ±1.00 D of refractive prediction errors were calculated.

RESULTS:

Methods using surgically induced change in refraction or no previous data had significantly smaller mean absolute IOL prediction errors, smaller variances, and a greater percentage of eyes within ±0.50 D and ±1.00 D of refractive prediction errors than methods using pre-LASIK/PRK keratometry (K) values and surgically induced change in refraction (all P<.05 with Bonferroni correction). There were no statistically significant differences between methods using surgically induced change in refraction and methods using no previous data.

CONCLUSION:

Methods using surgically induced change in refraction and methods using no previous data gave better results than methods using pre-LASIK/PRK K values and surgically induced change in refraction.

Financial Disclosure:

No author has a financial or proprietary interest in any material or method mentioned.

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Evaluation of intraocular lens power prediction methods using the American Society of Cataract and Refractive Surgeons Post-Keratorefractive Intraocular Lens Power Calculator