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Titel: Repeatability of biometric measures from the LenStar LS900 in a cataractous population
VerfasserIn: Langenbucher, Achim
Szentmáry, Nóra
Wendelstein, Jascha
Cayless, Alan
Hoffmann, Peter
Cooke, David
Sprache: Englisch
Titel: PloS One
Bandnummer: 20
Heft: 5
Verlag/Plattform: Plos
Erscheinungsjahr: 2025
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Purpose To investigate the repeatability of biometric measures and assess interactions between their uncertainties for use in an error propagation model, using patient data. Methods Cross-sectional non-randomised study evaluating a dataset containing 969 LenStar 900 biometric measurements taken before cataract surgery. Only complete scans with at least 3 successful measurements for each eye performed on the same day were considered. For each sequence, the aggregated mean (AMEAN) and population standard deviations (ASD) were derived. The within-subject standard deviation Sw was extracted for: corneal thickness, CCT, anterior chamber depth ACD, lens thickness LT, axial length AL, corneal diameter WTW, and the keratometric power vector components equivalent power KEQ, and the projections of corneal astigmatism KC0 and KC45. Correlations between the uncertain ties were assessed using Spearman rank correlations. Results For the 266 eyes matching the inclusion criteria, Sw was 3.6/ 24.7/35.5/ 17.7/ 107.5 µm for CCT/ ACD/ LT/ AL WTW and 0.18/ 0.12/ 0.10 dioptres for KEQ/ KC0/ KC45. The kerato metric axis ASD is inversely proportional to the keratometric astigmatism AMEAN. LT and ACD uncertainties are strongly negatively correlated, with KEQ and KC0 uncertainties moderately correlated. Conclusions The uncertainty and correlation data presented here could be used to define a Monte-Carlo based error propagation model mapping the biometric measures and uncer tainties to variations in predicted refraction after cataract surgery. We recommend using power vector components for error propagation models since the large decay over kerato metric astigmatism makes keratometric axis uncertainty unreliable.
DOI der Erstveröffentlichung: 10.1371/journal.pone.0321786
URL der Erstveröffentlichung: https://doi.org/10.1371/journal.pone.0321786
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-459408
hdl:20.500.11880/40312
http://dx.doi.org/10.22028/D291-45940
ISSN: 1932-6203
Datum des Eintrags: 30-Jul-2025
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

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