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Predictability of pseudophakic refraction using patient-customized paraxial eye models

Authors :
Yu-Cherng Chang
Florence Cabot
Bianca Maceo Heilman
Larissa Meza
Marco Ruggeri
Arthur Ho
Sonia H. Yoo
Jean-Marie Parel
Fabrice Manns
Source :
Journal of Cataract and Refractive Surgery. 48:1016-1022
Publication Year :
2022
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2022.

Abstract

To determine whether patient-customized paraxial eye models that do not rely on exact ray tracing and do not consider aberrations can accurately predict pseudophakic refraction.Bascom Palmer Eye Institute, Miami, Florida.Prospective study.Cataract surgery patients with and without a history of refractive surgery were included. Manifest refraction, corneal biometry, and extended-depth optical coherence tomography (OCT) imaging were performed at least 1 month postoperatively. Corneal and OCT biometry were used to create paraxial eye models. The pseudophakic refraction simulated using the eye model was compared with measured refraction to calculate prediction error.49 eyes of 33 patients were analyzed, of which 12 eyes from 9 patients had previous refractive surgery. In eyes without a history of refractive surgery, the mean prediction error was 0.08 ± 0.33 diopters (D), ranging from -0.56 to 0.79 D, and the mean absolute error was 0.27 ± 0.21 D. 31 eyes were within ±0.5 D, and 36 eyes were within ±0.75 D. In eyes with previous refractive surgery, the mean prediction error was -0.44 ± 0.58 D, ranging from -1.42 to 0.32 D, and the mean absolute error was 0.56 ± 0.46 D. 7 of 12 eyes were within ±0.5 D, 8 within ±0.75 D, and 10 within ±1 D. All eyes were within ±1.5 D.Accurate calculation of refraction in postcataract surgery patients can be performed using paraxial optics. Measurement uncertainties in ocular biometry are a primary source of residual prediction error.

Details

ISSN :
18734502 and 08863350
Volume :
48
Database :
OpenAIRE
Journal :
Journal of Cataract and Refractive Surgery
Accession number :
edsair.doi.dedup.....732a441cec0d18c3e5d73bf655a7399d
Full Text :
https://doi.org/10.1097/j.jcrs.0000000000000934