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Effect of vault on predicting postoperative refractive error for posterior chamber phakic intraocular lens based on a machine learning model

金库(建筑) 计算机科学 均方预测误差 数学 算法 结构工程 工程类
作者
Yinjie Jiang,Yang Shen,Lin Wang,Xun Chen,Jing Tang,Liu Liu,Tong Ma,Lie Ju,Yuzhong Chen,Zongyuan Ge,Xingtao Zhou,Xiaoying Wang
出处
期刊:Journal of Cataract and Refractive Surgery [Ovid Technologies (Wolters Kluwer)]
卷期号:50 (4): 319-327 被引量:1
标识
DOI:10.1097/j.jcrs.0000000000001356
摘要

Purpose: To investigate how vault and other biometric variations affect postoperative refractive error of implantable collamer lenses (ICLs) by integrating artificial intelligence and modified vergence formula. Setting: Eye and ENT Hospital of Fudan University, Shanghai, China. Design: Artificial intelligence and big data-based prediction model. Methods: 2845 eyes that underwent uneventful spherical ICL or toric ICL implantation and with manifest refraction results 1 month postoperatively were included. 1 eye of each patient was randomly included. Random forest was used to calculate the postoperative sphere, cylinder, and spherical equivalent by inputting variable ocular parameters. The influence of predicted vault and modified Holladay formula on predicting postoperative refractive error was analyzed. Subgroup analysis of ideal vault (0.25 to 0.75 mm) and extreme vault (<0.25 mm or >0.75 mm) was performed. Results: In the test set of both ICLs, all the random forest-based models significantly improved the accuracy of predicting postoperative sphere compared with the Online Calculation & Ordering System calculator ( P < .001). For ideal vault, the combination of modified Holladay formula in spherical ICL exhibited highest accuracy ( R = 0.606). For extreme vault, the combination of predicted vault in spherical ICL enhanced R values ( R = 0.864). The combination of predicted vault and modified Holladay formula was most optimal for toric ICL in all ranges of vault (ideal vault: R = 0.516, extreme vault: R = 0.334). Conclusions: The random forest-based calculator, considering vault and variable ocular parameters, illustrated superiority over the existing calculator on the study datasets. Choosing an appropriate lens size to control the vault within the ideal range was helpful to avoid refractive surprises.
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