Wendelstein, Jascha A; Yeo, Tun Kuan; Hinterberger, Sarah; Seiler, Theo G; Dick, H Burkhard; Savini, Giacomo; Langenbucher, Achim; Taneri, Suphi (2024). The influence of lens position, vault prediction, and posterior cornea on phakic posterior chamber intraocular lens power. American journal of ophthalmology, 261, pp. 7-18. Elsevier 10.1016/j.ajo.2024.01.008
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BACKGROUND
Achieving precise refractive outcomes in phakic posterior chamber intraocular lens (pIOL) implantation is crucial for patient satisfaction. This study investigates factors affecting pIOL power calculations, focusing on myopic eyes, and evaluates the potential benefits of advanced predictive models.
DESIGN
Retrospective, single-center, algorithm improvement study METHODS: Various variations with different effective lens position (ELP) algorithms were analyzed. The algorithms included a fixed constant model, and a multiple linear regression model and were tested with and without incorporation of the posterior corneal curvature (Rcp). Furthermore, the impact of inserting the postoperative vault, the space between the pIOL and the crystalline lens, into the ELP algorithm was examined, and a simple vault prediction model was assessed.
RESULTS
Integrating Rcp and the measured vault into pIOL calculations did not significantly improve accuracy. Transitioning from constant model approaches to ELP concepts based on linear regression models significantly improved pIOL power calculations. Linear regression models outperformed constant models, enhancing refractive outcomes for both ICL and IPCL pIOL platforms.
CONCLUSIONS
This study underscores the utility of implementing ELP concepts based on linear regression models into pIOL power calculation. Linear regression based ELP models offered substantial advantages for achieving desired refractive outcomes, especially in lower to medium power pIOL models. For pIOL power calculations in both pIOL platforms we tested with preoperative measurements from a Scheimpflug device, we found improved results with the LION 1ICL formula and LION 1IPCL formula. Further research is needed to explore the applicability of these findings to a broader range of pIOL designs and measurement devices.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ophthalmology |
UniBE Contributor: |
Seiler, Günter Theodor Michael |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1879-1891 |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
15 Jan 2024 13:13 |
Last Modified: |
20 Apr 2024 00:13 |
Publisher DOI: |
10.1016/j.ajo.2024.01.008 |
PubMed ID: |
38218514 |
Uncontrolled Keywords: |
ICL IOL IPCL LION Lens iterative optimization network OCOS Vault Vault prediction phakic intraocular lens |
BORIS DOI: |
10.48350/191615 |
URI: |
https://boris.unibe.ch/id/eprint/191615 |