Your browser doesn't support javascript.
loading
Optimal Dataset Sizes for Constant Optimization in Published Theoretical Optical Formulae.
Langenbucher, Achim; Schwemm, Michael; Eppig, Timo; Schröder, Simon; Cayless, Alan; Szentmáry, Nóra.
Affiliation
  • Langenbucher A; Department of Experimental Ophthalmology, Saarland University, Homburg/Saar, Germany.
  • Schwemm M; Department of Experimental Ophthalmology, Saarland University, Homburg/Saar, Germany.
  • Eppig T; Department of Experimental Ophthalmology, Saarland University, Homburg/Saar, Germany.
  • Schröder S; Department of Experimental Ophthalmology, Saarland University, Homburg/Saar, Germany.
  • Cayless A; School of Physical Sciences, The Open University, Milton Keynes, UK.
  • Szentmáry N; Dr. Rolf M. Schwiete Center for Limbal Stem Cell and Aniridia Research, Saarland University, Homburg/Saar, Germany.
Curr Eye Res ; 46(10): 1589-1596, 2021 10.
Article in En | MEDLINE | ID: mdl-33667143
ABSTRACT

Purpose:

To determine the optimal number of data points required for optimization of formulae for classical lens power calculation.

Methods:

A large dataset of preoperative biometric values was used to assess the convergence of formula constants in a number of established intraocular lens power calculation formulae.

Results:

In formulae with a single constant, 80-100 clinical data points are sufficient to obtain convergence. The Haigis formula (three constants) requires 200-300 data points although refractive error converges more rapidly.

Conclusions:

In all formulae, 80-100 clinical data points are sufficient to achieve a stable mean refractive error.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Optics and Photonics / Datasets as Topic / Lenses, Intraocular Type of study: Observational_studies Limits: Humans Language: En Journal: Curr Eye Res Year: 2021 Document type: Article Affiliation country: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Optics and Photonics / Datasets as Topic / Lenses, Intraocular Type of study: Observational_studies Limits: Humans Language: En Journal: Curr Eye Res Year: 2021 Document type: Article Affiliation country: Alemania