Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen: doi:10.22028/D291-39934
Volltext verfügbar? / Dokumentlieferung
Dateien zu diesem Datensatz:
Es gibt keine Dateien zu dieser Ressource.
Titel: IOL Formula Constants : Strategies for Optimization and Defining Standards for Presenting Data
VerfasserIn: Langenbucher, Achim
Szentmáry, Nóra
Cayless, Alan
Müller, Michael
Eppig, Timo
Schröder, Simon
Fabian, Ekkehart
Sprache: Englisch
In:
Titel: Ophthalmic Research
Bandnummer: 64
Heft: 6
Seiten: 1055-1067
Verlag/Plattform: Karger
Erscheinungsjahr: 2021
Freie Schlagwörter: Lens power calculation formulae
Formula constant optimization
Customized constants
Non-linear optimization
Mean absolute prediction error
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Purpose: The aim of this study is to present strategies for optimization of lens power (IOLP) formula constants and to show options how to present the results adequately. Methods: A dataset of N = 1,601 preoperative biometric values, IOLP data and postoperative refraction data was split into a training set and a test set using a random sequence. Based on the training set, we calculated the formula constants for established lens calculation formulae with different methods. Based on the test set, we derived the formula prediction error (PE) as difference of the achieved refraction from the formula predicted refraction. Results: For formulae with 1 constant, it is possible to back-calculate the individual constant for each case using formula inversion. However, this is not possible for formulae with >1 constant. In these cases, more advanced concepts such as non-linear optimization strategies are necessary to derive the formula constants. During cross-validation, measures such as the mean absolute or the root mean squared PE or the ratio of cases within mean absolute PE (MAE) limits could be used as quality measures. Conclusions: Different constant optimization concepts yield different results. To test the performance of optimized formula constants, a cross-validation strategy is mandatory. We recommend performance curves, where the ratio of cases within absolute PE limits is plotted against the MAE.
DOI der Erstveröffentlichung: 10.1159/000514916
URL der Erstveröffentlichung: https://doi.org/10.1159/000514916
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-399344
hdl:20.500.11880/35939
http://dx.doi.org/10.22028/D291-39934
ISSN: 1423-0259
0030-3747
Datum des Eintrags: 9-Jun-2023
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Augenheilkunde
Professur: M - Univ.-Prof. Dr. Dipl.-Ing. Achim Langenbucher
M - Prof. Dr. med. Nóra Szentmáry
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.