Predictive Correction Model for Corneal Back Surface Astigmatism With <scp>IOLMaster700</scp> Keratometry Data in a Cataractous Population
As the performance is quite similar for all tested correction models, we recommend using a simple global constant model to predict TK vector components. This could easily be implemented in any consumer software.
Authors
- Tun Kuan Yeo (ORCID: https://orcid.org/0000-0002-0589-4555)
- Oliver Findl (ORCID: https://orcid.org/0000-0002-1393-1598)
- Kamran M. Riaz (ORCID: https://orcid.org/0000-0003-1090-5025)
- Jascha Wendelstein (ORCID: https://orcid.org/0000-0003-4145-2559)
- Seth Pantanelli (ORCID: https://orcid.org/0000-0003-4992-9606)
- Achim Langenbucher (ORCID: https://orcid.org/0000-0001-9175-6177)
- Nóra Szentmáry (ORCID: https://orcid.org/0000-0001-8019-1481)
- Giacomo Savini (ORCID: https://orcid.org/0000-0003-0075-3582)
- Alan Cayless (ORCID: https://orcid.org/0000-0003-0779-7449)
- Damien Gatinel
- Pia Lyngby Hoffmann
Institutions
- The Open University (GB)
- Tan Tock Seng Hospital (SG)
- Fondazione G.B. Bietti (IT)
- Hanusch Hospital (AT)
- Vienna Institute for Research in Ocular Surgery (AT)
- Rütgers (Germany) (DE)
- Dean McGee Eye Institute (US)
- Fondation de Rothschild (FR)
- Ludwig-Maximilians-Universität München (DE)
- Penn State Milton S. Hershey Medical Center (US)
- University of Oklahoma (US)
- Saarland University (DE)
Publication Details
- Journal
- Clinical and Experimental Ophthalmology
- Published
- 2025-10-25
- DOI
- https://doi.org/10.1111/ceo.70009
- Primary Topic
- Corneal surgery and disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministero della Salute
- Fondazione Roma