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根据眼生物测量参数评估人工晶状体计算公式准确性的新方法。

New method to assess the accuracy of intraocular lens power calculation formulas according to ocular biometric parameters.

机构信息

From the Department of Ophthalmology, Qvision, Vithas Virgen del Mar Hospital (Fernández, Rodríguez-Vallejo, Burguera), Almería, the Miranza IOA (Poyales, Garzón), Madrid, the Optometry and Vision Department, Faculty of Optics and Optometry, Complutense University of Madrid (Garzón), Madrid, Spain.

出版信息

J Cataract Refract Surg. 2020 Jun;46(6):849-856. doi: 10.1097/j.jcrs.0000000000000165.

Abstract

PURPOSE

To develop a new method that makes it easy to detect accuracy deficiencies of any intraocular lens (IOL) power calculation formulas and to test it on 9 different formulas.

SETTING

IOA, Madrid, Spain.

DESIGN

Retrospective observational case series.

METHODS

This study's first stage included 3519 eyes from 3519 candidates for cataract surgery for which frequency distributions for the following biometric eye parameters were computed: axial length (AL), anterior chamber depth (ACD), lens thickness (LT), white-to-white (WTW), and mean corneal radius (Rm). The resulting data for each parameter were fifth, 25th, 75th and 95th percentiles, which allowed definition of the corresponding normality range. In a second stage, the new graphic-representation method was tested for 9 different formulas in a sample of 70 eyes undergoing cataract surgery with multifocal IOL (mIOL) implantation.

RESULTS

Normality ranges (defined as the 25th to 75th percentile interval) were 22.84 to 24.42 mm for AL, 2.86 to 3.39 mm for ACD, 4.36 to 4.88 mm for LT, 11.64 to 12.19 mm for WTW, and 7.52 to 7.87 mm for Rm, with lower sizes in women. No significant differences were found among the 9 formulas for percentage of eyes in ±0.50 diopters (D) (P = .82) or ±1.00 D (P = .97). The graphical method showed less accuracy in ±0.50 D for ACDs from 2.46 to 2.85 mm (5th to 25th percentile) for several formulas (P < .05).

CONCLUSIONS

Nine formulas showed nonsignificant differences in the general predictability for a sample of eyes that were candidates to mIOL implantation. Predictability in this sample decreased for short ACDs.

摘要

目的

开发一种新方法,以便轻松检测任何眼内透镜(IOL)计算公式的准确性缺陷,并在 9 种不同公式上进行测试。

地点

西班牙马德里 IOA。

设计

回顾性观察性病例系列。

方法

本研究的第一阶段包括 3519 只接受白内障手术候选者的眼睛,计算了以下生物测量眼参数的频率分布:眼轴(AL)、前房深度(ACD)、晶状体厚度(LT)、角膜直径(WTW)和平均角膜半径(Rm)。每个参数的数据为第 5、25、75 和 95 百分位数,这允许定义相应的正态范围。在第二阶段,在接受多焦点 IOL(mIOL)植入的 70 只白内障手术眼中测试了 9 种不同公式的新图形表示方法。

结果

AL 的正态范围(定义为第 25 至 75 百分位数区间)为 22.84 至 24.42mm,ACD 为 2.86 至 3.39mm,LT 为 4.36 至 4.88mm,WTW 为 11.64 至 12.19mm,Rm 为 7.52 至 7.87mm,女性尺寸较小。9 种公式在±0.50 屈光度(D)(P=.82)或±1.00 D(P=.97)的眼中所占百分比无显著差异。图形方法显示,对于 2.46 至 2.85mm(第 5 至 25 百分位数)的几个公式,ACD 在±0.50 D 时准确性较差(P<0.05)。

结论

9 种公式在候选 mIOL 植入的眼样本中对总体预测能力无显著差异。在该样本中,ACD 较短时,预测能力下降。

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