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评估9个IOL功率计算公式,使用异种统计方法和一种新的IOL常数优化方法

Daniel Romero-Valero¹, Alicia Cárceles¹, Jorge L Alió²

¹Department of Opthalmology, General University Hospital of Elche, Elche, Spain.

European journal of ophthalmology

|February 7, 2024

概括

凯恩公式显示了最低的预测误差标准偏差,超过了旧公式. 新一代公式,包括Kane和EVO 2.0,在眼内透镜 (IOL) 功率计算方面表现出可比的准确性.

科学领域:

眼科医生眼科眼科
生物医学工程生物医学工程
统计分析统计分析

背景情况:

精确的眼内镜 (IOL) 功率计算对于在白内障手术后实现所需的折射结果至关重要.
存在各种IOL功率计算公式,每个都有独特的算法和常数.
优化IOL常数和采用强大的统计方法对于评估公式准确性至关重要.

研究的目的:

为了比较九种不同的IOL功率计算公式的预测准确度.
为了评估预测错误,利用异种类型的统计分析.
在分析之前实施一种用于优化IOL常数的新方法.

主要方法:

从278名接受白内障手术的患者278只眼睛的回顾性分析.
使用LenStar LS900设备进行的手术前生物识别.
使用九种公式计算预测的折射误差:巴雷特通用II,EVO-2.0,Hill RBF-3.0,Hill-RBF 2.0,凯恩,PEARL-DGS,SRK-T,Hoffer-Q和Holladay-1.0 这些公式用于计算预测的折射误差.
优化 IOL 常数和应用异种统计方法来比较预测误差 (PE) 的标准偏差.

主要成果:

凯恩公式显示了预测误差 (0.4214D) 的最低标准偏差 (SD).
与SRK-T,Holladay 1和Hoffer-Q.相比,Kane和EVO 2.0配方显示PE的SD显著较低.
皮尔公式的SD显著低于SRK-T和霍弗尔-Q.
在新一代配方 (Hill RBF 3.0,Hill-RBF 2.0,Kane,EVO 2.0,Barrett Universal II,PEARL) 中没有观察到PE的SD显著差异.

结论:

凯恩公式显示了最高的准确性,紧随其后的是EVO 2.0和PEARL-DGS.
在分析新一代公式的预测误差之间没有发现统计学上显著的差异.
建议进行进一步的研究,以评估这些公式在异常生物识别特征 (极端眼睛) 的眼睛中的准确性.

关键词:

对IOL功率计算公式的评估在 IOL 中计算功率.

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