Evidence map›Paper›PMID 36543612›Full record

ArticleZeitschrift fur medizinische Physik2024

Considerations of a thick lens formula for intraocular lens power calculation.

Achim Langenbucher, Peter Hoffmann, Alan Cayless, Damien Gatinel, Guillaume Debellemanière, Jascha Wendelstein, Nóra Szentmáry

Abstract read
In one paragraph

Article in Zeitschrift fur medizinische Physik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Basic Optics Underlying Current Intraocular Lenses.Journal of clinical medicine · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Prediction of IOL decentration, tilt and axial position using anterior segment OCT data.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Achim LangenbucherDepartment of Experimental Ophthalmology, Saarland University, Homburg/Saar, Germany. Electronic address: achim.langenbucher@uks.eu.
Peter HoffmannAugen- und Laserklinik Castrop-Rauxel, Castrop-Rauxel, Germany.
Alan CaylessSchool of Physical Sciences, The Open University, Milton Keynes, United Kingdom.
Damien GatinelRothschild Foundation Hospital, Paris, France.
Guillaume DebellemanièreRothschild Foundation Hospital, Paris, France.
Jascha WendelsteinDepartment of Experimental Ophthalmology, Saarland University, Homburg/Saar, Germany; Institut für Refraktive- und Ophthalmo-Chirurgie (IROC), Zurich, Switzerland; Department of Ophthalmology, Johannes Kepler University Linz, Austria.
Nóra SzentmáryDr. Rolf M. Schwiete Center for Limbal Stem Cell and Aniridia Research, Saarland University, Homburg/Saar, Germany; Department of Ophthalmology, Semmelweis-University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, some lens manufacturers have committed to providing lens shape data for some of their lens models. The purpose of this study is to present a strategy for prediction of intraocular lens power and residual refraction based on a pseudophakic model eye containing 5 refractive surfaces and to show its applicability using worked examples.

methodsA pseudophakic model eye with a thin spectacle correction, a thick cornea (radius of curvatures for both surfaces and central thickness) and a thick IOL (either radius of curvatures RLa and RLp for front and back surface or equivalent power PL and Coddington factor CL; and either central thickness LT or edge thickness and optic diameter) was set up. Calculations were performed based on linear Gaussian optics (vergence formulae). Formulae were provided to derive the lens power/shape and the residual equivalent spectacle refraction SEQ. From the lens shape the location of the haptic plane HP, the image sided principal plane of the lens HL, and the ocular magnification OM were extracted.

resultsThe calculation of a thick intraocular lens and the prediction of residual refraction is presented with reference to 3 working examples: A) lens varied in PL and shifted with its haptic plane keeping the CL constant, B) lens varied in CL and shifted with its haptic plane keeping PL constant, and C) CL and PL of the lens varied keeping its haptic plane position in the eye constant. For each combination of parameters (PL, CL, or haptic plane shift) the parameters influencing SEQ, OM and HL-HP were analysed.

conclusionSome modern optical biometers currently on the market provide the radii of curvature of both corneal surface and all relevant distances in the eye. With additional data on the lens shape, it would be possible to improve lens power calculations by switching from thin to thick lens models for the cornea and for the lens. This would overcome one of the major drawbacks of current lens power calculation methods.

Indexed as

Lenses, IntraocularComputer SimulationEquipment Failure AnalysisHumansModels, BiologicalOptics and PhotonicsProsthesis DesignRefraction, OcularGaussian opticsIOL shape dataLens power calculationPrediction of residual refractionThick lens corneaThick lens IOLVergence calculation

Identifiers

PMID36543612
PMCPMC11624371

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.