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Determination of Personalized IOL-Constants for the Haigis Formula under Consideration of Measurement Precision

机译:在考虑测量精度的情况下确定Haigis公式的个性化IOL常数

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摘要

The capabilities of a weighted least squares approach for the optimization of the intraocular lens (IOL) constants for the Haigis formula are studied in comparison to an ordinary least squares approach. The weights are set to the inverse variances of the effective optical anterior chamber depth. The effect of random measurement noise is simulated 100000 times using data from N = 69 cataract patients and the measurement uncertainty of two different biometers. A second, independent data set (N = 33) is used to show the differences that can be expected between both methods. The weighted least squares formalism reduces the effect of measurement error on the final constants. In more than 64% it will result in a better approximation, if the measurement errors are estimated correctly. The IOL constants can be calculated with higher precision using the weighted least squares method.
机译:与普通最小二乘法相比,研究了加权最小二乘法为Haigis公式优化人工晶状体(IOL)常数的能力。权重设置为有效光学前房深度的反方差。使用来自N = 69名白内障患者的数据和两种不同生物特征计的测量不确定度,对随机测量噪声的影响进行了100000次模拟。第二个独立的数据集(N = 33)用于显示两种方法之间可以预期的差异。加权最小二乘形式减少了测量误差对最终常数的影响。如果正确估计测量误差,则超过64%的近似值会更好。使用加权最小二乘法可以更高精度地计算IOL常数。

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