扁平部
医学
眼科
人工晶状体
玻璃体切除术
超声乳化术
均方预测误差
白内障手术
视力
数学
算法
作者
Jiaqing Zhang,Aixia Jin,Xiaotong Han,Zhuo Chen,Chunli Diao,Yu Zhang,Xinhua Liu,Fan Xu,Jiewei Liu,Xiaozhang Qiu,Xuhua Tan,Lixia Luo,Yizhi Liu
标识
DOI:10.1016/j.ajo.2024.02.037
摘要
PurposeTo investigate the relationship between effective lens position (ELP) and patient characteristics, and to further develop a new intraocular lens (IOL) calculation formula for cataract patients with previous pars plana vitrectomy (PPV).DesignCross-sectional study.MethodsA total of 2793 age-related cataract patients (group 1) and 915 post-PPV cataract patients (group 2) who underwent phacoemulsification with IOL implantation were included. The ELP of two groups was compared and the association between ELP and patient characteristics was further evaluated using standardized multivariate regression coefficients. An ensemble artificial intelligence-based ELP prediction model was developed using a training set of 810 vitrectomized eyes, and a thick-lens IOL formula (LISA-PPV) was constructed and compared with seven existing formulas on an external multi-center testing set of 105 eyes.ResultsCompared to eyes with age-related cataract, vitrectomized eyes showed a similar ELP distribution (P = 0.19), but different standardized coefficients of preoperative biometry for ELP. The standardized coefficients also varied with the type of vitreous tamponade, history of scleral buckling, and ciliary sulcus IOL implantation. The LISA-PPV formula showed the lowest mean and median absolute prediction error (MAE: 0.63 D; MedAE: 0.44 D), and the highest percentages of eyes within ± 0.5 D of prediction error (57.14%) in the testing dataset.ConclusionsThe ELP prediction required optimization specifically for vitrectomized eyes based on their biometric and surgical characteristics. The LISA-PPV formula is a useful and accurate tool for determining IOL power in cataract patients with previous PPV (available at http://ppv-iolcalculator.com/).
科研通智能强力驱动
Strongly Powered by AbleSci AI