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The influence of dual Scheimpflug corneal tomographic parameters on intraocular lens power calculation accuracy

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Session Details

Session Title: Cataract Surgery Outcomes. IOL Power Calculations

Session Date/Time: Monday 07/09/2015 | 16:30-18:30

Paper Time: 17:22

Venue: Room 1

First Author: : G.Reggiani Mello BRAZIL

Co Author(s): :    C. Serpe   M. Santhiago   D. Smadja              

Abstract Details


Identify dual Scheimpflug tomographic corneal factors that are able to affect the accuracy of intraocular lens power calculation in microincision phacoemulsification.


A total of 71 eyes of 48 patients with cataract and without any other ophthalmic disorder were prospectively enrolled at the Federal University of ParanĂ¡,Brazil.


The eyes were examined at two moments: preoperatively, several corneal and anterior segment variables were obtained by a dual Scheimpflug analyzer and a biometric evaluation was made by optical interferometry (Lenstar LS900 - Haag-Streit Koeniz, Switzerland) for intraocular lens power calculation. The corneal variables were: maximum elevation relative to a best-fit toric aspheric surface (BFTA); asphericity asymmetry index (AAI); corneal coma and spherical aberration, Kappa distance and the presence of a keratoconus suspect cornea. Two months after phacoemulsification, the refractive outcome was compared to the expected result and statistically associated to preoperative corneal variables.


Corneal power asymmetry represented by coma increased the mean absolute error (MAE) (P = 0.022), impairing the precision of the intraocular lens power calculation. There was a weak negative correlation between these results by the Pearson linear correlation test (P = 0.008) (IC 95: -0.510 to -0.087), showing a myopic error tendency for these patients. There was no statistical significance when analyzing the other corneal variables studied.


The coma, a corneal power asymmetry index, is an important corneal factor in the precision of the intraocular lens power calculation. Increased values were correlated to a higher predictive biometric error.

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