Repeatability of biometric measures from the LenStar LS900 in a cataractous population
The uncertainty and correlation data presented here could be used to define a Monte-Carlo based error propagation model mapping the biometric measures and uncertainties to variations in predicted refraction after cataract surgery. We recommend using power vector components for error propagation models since the large decay over keratometric astigmatism makes keratometric axis uncertainty unreliable.
Authors
- Peter Hoffmann (ORCID: https://orcid.org/0000-0003-0198-0613)
- David L. Cooke (ORCID: https://orcid.org/0000-0002-8126-853X)
- Jascha Wendelstein (ORCID: https://orcid.org/0000-0003-4145-2559)
- Achim Langenbucher (ORCID: https://orcid.org/0000-0001-9175-6177)
- Nóra Szentmáry (ORCID: https://orcid.org/0000-0001-8019-1481)
- Alan Cayless (ORCID: https://orcid.org/0000-0003-0779-7449)
Institutions
- Semmelweis University (HU)
- The Open University (GB)
- Great Lakes Science Center (US)
- Rütgers (Germany) (DE)
- Ludwig-Maximilians-Universität München (DE)
- Michigan State University (US)
- Saarland University (DE)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1371/journal.pone.0321786
- Primary Topic
- Ophthalmology and Visual Impairment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00