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Published in: BMC Ophthalmology 1/2017

Open Access 01-12-2017 | Research article

Prediction accuracy of intraocular lens power calculation methods after laser refractive surgery

Authors: Yubo Wu, Songyu Liu, Rongfeng Liao

Published in: BMC Ophthalmology | Issue 1/2017

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Abstract

Background

This study aimed to evaluate the prediction accuracy of postoperative refractions using partial coherence interferometry (IOL-Master) and applanation ultrasound (AL-3000) assisted with corneal topography (TMS-4) in eyes that had undergone myopic laser-assisted in situ keratomileusis (LASIK).

Methods

Haigis-L formula, Koch–Maloney method using Haigis formula, Shammas clinically derived K-value (simulated keratometric value) correction (Shammas c.d.) using Haigis formula, and Shammas post-LASIK (Shammas-PL) formula were used in eyes with myopic LASIK. Constants were derived from the optimized constants in 133 virgin eyes. Refractive outcomes were determined by streak retinoscopy and subjective manifest refraction. Methods and formulas were evaluated by mean error (ME), standard deviation (SD), range of error, mean absolute error (MAE), median absolute error, 95% confidence interval of MAE, and percentage of eyes within ±0.5 diopter (D), ±1.0 D, and ±1.5 D of prediction.

Results

SDs of the Haigis-L, Koch-Maloney method using the Haigis formula, Shammas c.d. using the Haigis formula, and the Shammas-PL formula using IOL-Master were 0.721, 0.695, 0.695, and 0.698; and those using AL-3000 assisted with TMS-4 were 0.782, 0.741, 0.743, and 0.778, respectively.

Conclusions

No-history methods that corrected corneal power with measurements using IOL-Master were promising in myopic post-LASIK eyes, but still a gap in prediction accuracy exists between virgin eyes and post-LASIK eyes.
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Metadata
Title
Prediction accuracy of intraocular lens power calculation methods after laser refractive surgery
Authors
Yubo Wu
Songyu Liu
Rongfeng Liao
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Ophthalmology / Issue 1/2017
Electronic ISSN: 1471-2415
DOI
https://doi.org/10.1186/s12886-017-0439-x

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