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. 2024 Nov 25;15(12):6989-6998.
doi: 10.1364/BOE.541022. eCollection 2024 Dec 1.

Pre-clinical methods to evaluate photic phenomena in intraocular lenses

Mark D Jenkins  1 , Aixa Alarcon  1 , Miguel Faria Ribeiro  1 , Robert Rosen  1 , Srividhya Vilupuru  2 , Marrie van der Mooren  1 , Carmen Canovas  1
Affiliations

Pre-clinical methods to evaluate photic phenomena in intraocular lenses

Mark D Jenkins et al. Biomed Opt Express. .

Abstract

A new system and methodology are introduced to evaluate photic phenomena induced by different intraocular lens (IOL) technologies using a "see-through" IOL analyzer system in phakic subjects. Nineteen phakic subjects looked through the Groningen IOL Telescope type 1 (GIT1) system under different conditions. Four different IOL designs with different clinical levels of photic phenomena were evaluated by the subjects. Subjects were asked to give a subjective rating of each lens and perform a psychophysical test. The results of this study were compared to the clinical outcomes of the subjective perception of halo, glare, and starbursts of cataract patients implanted with the same IOL models. Depending on the visual test performed, a good correlation can be found between the tests performed here and the bother levels of real cataract patients. The results validate the use of this methodology to evaluate preclinical visual symptoms. The system could be a powerful tool for the design and development of new optical designs.

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Conflict of interest statement

All the authors of this manuscript are or were employees (E) of Johnson and Johnson MedTech at the time the research presented was performed.

Figures

Fig. 1.
Fig. 1.
Schematic of the Groningen IOL Telescope version 1.
Fig. 2.
Fig. 2.
Example of the ring test. The subjects were asked to alter the ring size so that it become obscured by the halo. Halo image is taken using a camera and objective attached to the GIT1 system.
Fig. 3.
Fig. 3.
Linear regression fits of the study Ring Test data to clinical questionnaire responses.
Fig. 4.
Fig. 4.
Linear regression fits of the study bother level data to clinical questionnaire responses.
Fig. 5.
Fig. 5.
Summary of Correlation parameters from linear regression fits of study data to clinical averages. Bars marked with a blue star (90% confidence or a p-value < 0.1) or red star (95% confidence p-value < 0.05) have statistically significant correlations.
See this image and copyright information in PMC

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