Evaluation Of Potential Refractive Errors For Various Intraocular Lenses In Human Capsular Models
Published 2026 - 44th Congress of the ESCRS
Reference: POCAT551 | Type: Poster | DOI: 10.82333/7zh4-y949
Authors: Ramin Khoramnia* 1 , William Dolla 2 , Arun Suryanarayanan 2 , Kamal K. Das 2
1Department of Ophthalmology, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden,Dresden,Germany, 2Alcon Research, LLC,Fort Worth,United States
Purpose
Biomaterial and biomechanical design of the intraocular lenses (IOLs) can be critical in determining the axial stability of an IOL for cataract patients. Axial displacement is the key indicator of IOL instability and the primary reason for the potential refractive errors (PREs). The purpose of this study is to evaluate the impact of haptic and capsule geometry for widely used monofocal IOLs in human eye capsule computational models for determining PRE.
Setting
This analytical study is based on the human eye capsule computational models at Alcon Research, Fort Worth, Texas, USA
Methods
The interaction of an IOL with the soft and membrane-like human eye capsule model is expected to be different from the ISO compression test cell. In this study, we therefore developed human eye capsule computational models to understand the impact of haptic and capsule geometry on IOL axial stability and expected PRE. The assessment uses 9.0, 9.5, and 10.0-mm diameter based on clinical data to mimic human eye physiology using ANSYS. The IOLs used in this evaluation are Alcon Acrysof SN60WF and Clareon CNA0T0, JnJ Tecnis ZCB00, B&L enVista MX60, and Hoya Vivinex XY1. The PRE values were computed based on a ZEMAX ray trace model using IOL power calculation formula (SRK/T) and axial shift for each lens in all three capsule sizes.
Results
We have evaluated the axial stability in various capsule sizes and obtained the PRE values for the studied IOL models. The PRE for both SN60WF and CNA0T0 IOLs are less than 0.25 D in three capsule models. The XY1 and ZCB00 show 0.31 D and 0.45 D of PRE in the average capsule model. Both XY1 and ZCB00 show a PRE of about 0.53 D in the small capsule. The MX60 demonstrated the highest amount of PRE of about 2.13 D in human capsular bag models compared to all other IOLs.
Conclusions
Our findings from this analytical study demonstrate that the axial stability of the IOL is sensitive to changes in haptic and capsule geometry. CNA0T0 is the most stable IOL geometry in all the three different sizes of the studied human capsule computational models. This agrees with the historically most stable SN60WF platform. The PRE for both XY1 and ZCB00 IOLs is twice as large as compared to CNA0T0. MX60 IOL demonstrated the highest amount of displacement and resulted in the most PRE in the human capsule computational models.