Posters

Comparison of the influence of pupil dilation on predicted postoperative refraction and recommended IOL power to obtain target postoperative refraction among three IOL power calculation formulas: Barrett Universal II, Haigis, and SRK/T

Poster Details

First Author: T.Teshigawara JAPAN

Co Author(s):    A. Meguro   N. Mizuki                 

Abstract Details

Purpose:

To compare the influence of pupil dilation on predicted postoperative refraction (PPR) and recommended IOL power to obtain target postoperative refraction calculated by Barrett Universal II (Barrett) (new generation), Haigis (4th-generation), and SRK/T (3rd-generation) IOL power calculation formulas. Its effect on anterior chamber depth (ACD), lens thickness (LT), and white-to-white (WTW) and the correlations between all influences were analyzed.

Setting:

Yokohama Tsurumi Chuoh Eye Clinic and Yokosuka Chuoh Eye Clinic, Kanagawa, Japan

Methods:

This retrospective study used 150 eyes. PPR, recommended IOL (SN60WF, Alcon) power, ACD, LT and WTW were measured pre- and post-dilation using an optical biometer (IOL Master 700, Carl Zeiss Meditec). PPR and recommended IOL power were calculated by Barrett, Haigis and SRK/T IOL calculation formulas. Mean absolute change (MAC) between pre- and post-dilation in PPR in each formula and mean change between pre- and post-dilation in ACD, LT and WTW were evaluated. Correlations between all changes were analyzed. Dilation’s influence on recommended IOL power calculated by each formula was also analyzed. BellCurve for Excel was used for analysis.

Results:

MAC in PPR pre- and post-dilation was highest in Barrett, next Haigis and then SRK/T: Significant differences were found among each MAC. ACD and LT significantly changed pre- and post-dilation, but WTW didn’t. Change in PPR showed significant positive correlation with change in ACD and significant negative correlation in LT in Barrett and Haigis, but not SRK/T. Correlations are stronger in Barret than Haigis, especially LT. Barrett showed significant positive correlation between change in PPR and change in WTW. Recommended IOL power calculated by Barrett and Haigis changed pre- and post-dilation in 23.3% and 19.3%, SRK/T showed no change.

Conclusions:

Barrett was most strongly influenced by dilation on PPR and recommended IOL power, next Haigis, and then SRK/T. Given the stronger correlation between the change in PPR in Barrett and the change in ACD, LT and WTW, the change of ACD, LT and WTW is more key in the influence of dilation on Barrett. Dilation’s influence on each formula and variables including ACD, LT and WTW is key to improve IOL calculation.

Financial Disclosure:

None