Monte-Carlo simulation for calculating phakic supplementary lenses based on a thick and thin lens model using anterior segment OCT data

被引:0
|
作者
Langenbucher, Achim [1 ]
Cayless, Alan [2 ]
Kormanyos, Kitti [3 ]
Wendelstein, Jascha [1 ,4 ]
Hoffmann, Peter [5 ]
Szentmary, Nora [3 ,6 ]
机构
[1] Saarland Univ, Dept Expt Ophthalmol, Kirrberger Str 100 Bldg 2266424, Homburg, Germany
[2] Open Univ, Sch Phys Sci, Milton Keynes, England
[3] Semmelweis Univ, Dept Ophthalmol, Budapest, Hungary
[4] Johannes Kepler Univ Linz, Dept Ophthalmol & Optometry, Linz, Austria
[5] Augen & Laserklin Castrop Rauxel, Castrop Rauxel, Germany
[6] Saarland Univ, Dr Rolf M Schwiete Ctr Limbal Stem Cell & Aniridi, Homburg, Germany
关键词
Phakic lens; Vergence calculation; Thick lens model; Refraction correction; Ocular magnification; Anterior segment tomography; INTRAOCULAR-LENS; IMPLANTATION; MYOPIA; SELECTION; POWER;
D O I
10.1007/s00417-023-06331-7
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
BackgroundPhakic lenses (PIOLs, the most common and only disclosed type being the implantable collamer lens, ICL) are used in patients with large or excessive ametropia in cases where laser refractive surgery is contraindicated. The purpose of this study was to present a strategy based on anterior segment OCT data for calculating the refraction correction (REF) and the change in lateral magnification (Delta M) with ICL implantation.MethodsBased on a dataset (N = 3659) containing Casia 2 measurements, we developed a vergence-based calculation scheme to derive the REF and gain or loss in Delta M on implantation of a PIOL having power PIOLP. The calculation concept is based on either a thick or thin lens model for the cornea and the PIOL. In a Monte-Carlo simulation considering, all PIOL steps listed in the US patent 5,913,898, nonlinear regression models for REF and Delta M were defined for each PIOL datapoint.ResultsThe calculation shows that simplifying the PIOL to a thin lens could cause some inaccuracies in REF (up to 1/2 dpt) and Delta M for PIOLs with high positive power. The full range of listed ICL powers (- 17 to 17 dpt) could correct REF in a range from - 17 to 12 dpt with a change in Delta M from 17 to - 25%. The linear regression considering anterior segment biometric data and the PIOLP was not capable of properly characterizing REF and Delta M, whereas the nonlinear model with a quadratic term for the PIOLP showed a good performance for both REF and Delta M prediction.ConclusionWhere PIOL design data are available, the calculation concept should consider the PIOL as thick lens model. For daily use, a nonlinear regression model can properly predict REF and Delta M for the entire range of PIOL steps if a vergence calculation is unavailable.
引用
收藏
页码:1553 / 1565
页数:13
相关论文
共 11 条
  • [1] Monte-Carlo simulation for calculating phakic supplementary lenses based on a thick and thin lens model using anterior segment OCT data
    Achim Langenbucher
    Alan Cayless
    Kitti Kormanyos
    Jascha Wendelstein
    Peter Hoffmann
    Nóra Szentmáry
    Graefe's Archive for Clinical and Experimental Ophthalmology, 2024, 262 : 1553 - 1565
  • [2] Translation model for anterior segment tomographic data to corneal spherical aberration derived from a Monte-Carlo simulation based on raytracing
    Langenbucher, Achim
    Szentmary, Nora
    Cayless, Alan
    Munninghoff, Lena
    Wortmann, Rosalie
    Wendelstein, Jascha
    Hoffmann, Peter
    ACTA OPHTHALMOLOGICA, 2022, 100 (08) : E1665 - E1674
  • [3] MODELING AND SIMULATION OF TIN OXIDE-BASED THICK-FILM GAS SENSORS USING MONTE-CARLO TECHNIQUES
    SKAFIDAS, PD
    VLACHOS, DS
    AVARITSIOTIS, JN
    SENSORS AND ACTUATORS B-CHEMICAL, 1994, 19 (1-3) : 724 - 728
  • [4] Monte-Carlo simulation of OCT structural images of human skin using experimental B-scans and voxel based approach to optical properties distribution
    Frolov, S. V.
    Potlov, A. Yu.
    Petrov, D. A.
    Proskurin, S. G.
    SARATOV FALL MEETING 2016 OPTICAL TECHNOLOGIES IN BIOPHYSICS AND MEDICINE XVIII, 2017, 10336
  • [5] A Monte-Carlo based 3-D ballistics model for guiding bat carcass surveys using environmental and turbine operational data
    Prakash, Shivendra
    Markfort, Corey D.
    ECOLOGICAL MODELLING, 2022, 470
  • [6] A Synthetic Seismicity Model for the Northwestern Portion of the Xianshuihe Fault, Southwestern China: Simulation Using the Monte Carlo Method, Based on Historical Earthquake Data
    Ran, Hongliu
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2014, 104 (02) : 898 - 912
  • [7] Simulation of recrystallization based on EBSD data using a modified Monte Carlo model that considers anisotropic effects in cold-rolled ultra-thin grain-oriented silicon steel
    Li Meng
    Jun-ming Liu
    Ning Zhang
    Hao Wang
    Yu Han
    Cheng-xu He
    Fu-yao Yang
    Xin Chen
    International Journal of Minerals Metallurgy and Materials, 2020, 27 (09) : 1251 - 1258
  • [8] Simulation of recrystallization based on EBSD data using a modified Monte Carlo model that considers anisotropic effects in cold-rolled ultra-thin grain-oriented silicon steel
    Li Meng
    Jun-ming Liu
    Ning Zhang
    Hao Wang
    Yu Han
    Cheng-xu He
    Fu-yao Yang
    Xin Chen
    International Journal of Minerals, Metallurgy and Materials, 2020, 27 : 1251 - 1258
  • [9] Simulation of recrystallization based on EBSD data using a modified Monte Carlo model that considers anisotropic effects in cold-rolled ultra-thin grain-oriented silicon steel
    Meng, Li
    Liu, Jun-ming
    Zhang, Ning
    Wang, Hao
    Han, Yu
    He, Cheng-xu
    Yang, Fu-yao
    Chen, Xin
    INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS, 2020, 27 (09) : 1251 - 1258
  • [10] Bicanonical Monte Carlo simulation of the structural properties of Cl-(H2O)N clusters using entropy data based model
    Lukyanov, SI
    Zidi, ZS
    Shevkunov, S
    JOURNAL OF MOLECULAR STRUCTURE-THEOCHEM, 2005, 725 (1-3): : 191 - 206