Purpose : Standard biconvex intraocular lenses (IOLs) are designed to optimize focus at the eye’s central retina but degrade optical quality in the peripheral retina with respect to the natural crystalline lens. In order to prevent this drawback of current IOLs, a new lens with an inverted meniscus shape (ArtIOL, Voptica SL, Murcia, Spain) was developed to provide better image quality in the peripheral retina. Moreover, IOL implantation can be associated with image distortion. The aim of this study is to compare the inverted meniscus lenses with the standard biconvex with respect to the induced image distortion.
Methods : Pre- and post- cataract surgery fundus images were taken with an ultra-widefield retinal camera (CLARUS 500, Zeiss, Germany) in 55 eyes of patients implanted with a standard biconvex IOL (control group) and 43 eyes of patients implanted with the inverted meniscus ArtIOL lens. For each eye, retinal landmarks (such as vessel bifurcations) were identified and their relative radial position was identified using a purposely written MATLAB (MathWorks, Inc. Natick, MA, USA) script. Retinal distortion at these locations was obtained for both groups.
Results : Although there was a large variability among subjects, we have found distortion to be significantly lower in the ArtIOL group than in the control group. Furthermore, distortion was found to linearly increase with eccentricity roughly twice faster in the control group than in the ArtIOL group (see figure), therefore predicting even larger differences for higher eccentricities than the 40 deg range studied.
Conclusions : Its inverted meniscus design bestow ArtIOL lenses with a better performance on the peripheral field, significantly reducing distortion of the retinal image in pseudophakic eyes with respect to traditional biconvex IOLs. This may have an impact in the quality of vision affecting patients’ tasks relaying in peripheral performance.
This abstract was presented (oral) at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.