Suppr超能文献

优化曲线拟合技术,以寻找从多焦点人工晶状体得出的散焦曲线分析的标准化方法。

Optimising curve fitting techniques to look for standardisation of the analysis of defocus curves derived from multifocal intraocular lenses.

机构信息

Southend Private Hospital, Essex, UK.

School of Health Professions, University of Plymouth, Plymouth, UK.

出版信息

Ophthalmic Physiol Opt. 2022 Jul;42(4):887-896. doi: 10.1111/opo.12986. Epub 2022 Apr 11.

Abstract

INTRODUCTION

To establish the most appropriate curve fitting method to allow accurate comparison of defocus curves derived from intraocular lenses (IOLs).

METHODS

Defocus curves were plotted in five IOL groups (monofocal, extended depth of focus, refractive bifocal, diffractive bifocal and trifocal). Polynomial curves from 2nd to 11th order and cubic splines were fitted. Goodness of fit (GOF) was assessed using five methods: least squares, coefficient of determination (R ), Akaike information criteria (AIC), visual inspection and Snedecor and Cochran. Additional defocus steps at -2.25 D and -2.75 D were measured and compared to the calculated visual acuity (VA) values. Area under the defocus curve and range of focus were also compared.

RESULTS

Goodness of fit demonstrated variable results, with more lenient methods such as R leading to overfitting and conservative methods such as AIC resulting in underfitting. Furthermore, conservative methods diminished the inflection points resulting in an underestimation of VA. Polynomial of at least 8th order was required for comparison of area methods, but overfitted the EDoF and monofocal groups; the spline curve was consistent for all IOLs and methods.

CONCLUSIONS

This study demonstrates the inherent difficulty of selecting a single polynomial function. The R method can be used cautiously along with visual inspection to guard against overfitting. Spline curves are suitable for all IOLs, guarding against the issues of overfitting. Therefore, for analysis of the defocus profile of IOLs, the fitting of a spline curves is advocated and should be used wherever possible.

摘要

简介

为了确定最合适的曲线拟合方法,以允许准确比较来自人工晶状体(IOL)的离焦曲线。

方法

在五个 IOL 组(单焦点、扩展景深、屈光双焦点、衍射双焦点和三焦点)中绘制离焦曲线。拟合二阶至十一阶多项式曲线和三次样条曲线。使用五种方法评估拟合优度(GOF):最小二乘法、决定系数(R)、赤池信息量准则(AIC)、视觉检查和 Snedecor 和 Cochran。还测量了 -2.25 D 和 -2.75 D 的额外离焦步长,并与计算的视力(VA)值进行了比较。离焦曲线下的面积和焦点范围也进行了比较。

结果

拟合优度表现出不同的结果,较宽松的方法(如 R)导致过度拟合,而较保守的方法(如 AIC)导致欠拟合。此外,保守的方法会使拐点消失,从而低估 VA。对于面积方法的比较,需要至少 8 阶的多项式,但过度拟合了 EDoF 和单焦点组;样条曲线对于所有 IOL 和方法都是一致的。

结论

本研究表明选择单个多项式函数存在固有困难。R 方法可以谨慎使用,并结合视觉检查,以防止过度拟合。样条曲线适用于所有 IOL,可防止过度拟合的问题。因此,对于人工晶状体离焦曲线的分析,建议拟合样条曲线,并尽可能使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fbe/9321728/303f51084a9d/OPO-42-887-g003.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验