背景:眼内透镜(IOL)需要在眼睛中适当定位以提供良好的成像性能。这对于高级IOL尤其重要。这项研究的目的是开发用于估计IOL偏心的预测模型,基于术前生物识别和层析成像测量的倾斜和轴向IOL赤道位置(IOLEQ)。
方法:基于包含术前IOLMaster700和白内障患者术前/术后Casia2测量的数据集(N=250),我们实施了浅层前馈神经网络和多元线性回归模型来预测IOL的分散性,倾斜和IOLEQ从术前生物识别和层析成像测量。在使用逐步线性回归方法和模型训练(150个训练和50个验证数据点)识别相关预测因子后,使用N=50的测试数据子集评估性能.
结果:一般来说,所有模型都表现良好。IOL偏心的预测表现最低,而预测IOL倾斜,尤其是IOLEQ显示出优越的性能。根据95%的置信区间,偏心/倾斜/IOLEQ可以预测在0.3mm/1.5°/0.3mm内。与回归相比,神经网络的表现略好,但对分散和倾斜没有意义。
结论:基于神经网络或线性回归的IOL偏心预测模型,倾斜和轴向透镜位置可用于现代IOL屈光力计算方案,处理“真实”IOL位置和高级透镜的指示,已知错位会引起光效应和图像失真。
BACKGROUND: Intraocular lenses (IOLs) require proper positioning in the eye to provide good imaging performance. This is especially important for premium IOLs. The purpose of this study was to develop prediction models for estimating IOL decentration, tilt and the axial IOL equator position (IOLEQ) based on preoperative biometric and tomographic measures.
METHODS: Based on a dataset (N = 250) containing preoperative IOLMaster 700 and pre-/postoperative Casia2 measurements from a cataractous population, we implemented shallow feedforward neural networks and multilinear regression models to predict the IOL decentration, tilt and IOLEQ from the preoperative biometric and tomography measures. After identifying the relevant predictors using a stepwise linear regression approach and training of the models (150 training and 50 validation data points), the performance was evaluated using an N = 50 subset of test data.
RESULTS: In general, all models performed well. Prediction of IOL decentration shows the lowest performance, whereas prediction of IOL tilt and especially IOLEQ showed superior performance. According to the 95% confidence intervals, decentration/tilt/IOLEQ could be predicted within 0.3 mm/1.5°/0.3 mm. The neural network performed slightly better compared to the regression, but without significance for decentration and tilt.
CONCLUSIONS: Neural network or linear regression-based prediction models for IOL decentration, tilt and axial lens position could be used for modern IOL power calculation schemes dealing with \'real\' IOL positions and for indications for premium lenses, for which misplacement is known to induce photic effects and image distortion.