To 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). Cross-sectional study. A 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 2 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 7 existing formulas on an external multi-center testing set of 105 eyes. Compared to eyes with age-related cataract, vitrectomized eyes showed a similar ELP distribution ( = .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. The 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 ).

中文翻译：

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LISA-PPV公式：基于集成人工智能的玻璃体切除眼厚人工晶状体计算公式

探讨有效晶状体位置（ELP）与患者特征之间的关系，并进一步为既往接受过睫状体平坦部玻璃体切除术（PPV）的白内障患者制定新的人工晶状体（IOL）计算公式。横断面研究。共有 2793 名年龄相关性白内障患者（第 1 组）和 915 名接受 PPV 后白内障患者（第 2 组）接受了白内障超声乳化吸除人工晶状体植入术。比较2组的ELP，并使用标准化多元回归系数进一步评估ELP与患者特征之间的关联。使用810只玻璃体切除眼的训练集开发了基于集成人工智能的ELP预测模型，构建了厚晶状体IOL公式（LISA-PPV），并在105只外部多中心测试集上与7个现有公式进行了比较眼睛。与患有年龄相关性白内障的眼睛相比，玻璃体切除术的眼睛显示出相似的 ELP 分布 (= .19)，但术前 ELP 生物测定的标准化系数不同。标准化系数还随玻璃体填塞类型、巩膜屈曲史和睫状沟人工晶状体植入情况而变化。 LISA-PPV 公式显示测试数据集中平均和中位绝对预测误差最低（MAE：0.63 D；MedAE：0.44 D），并且预测误差 ±0.5 D 内的眼睛百分比最高（57.14%）。 ELP 预测需要根据玻璃体切除眼的生物特征和手术特征进行专门优化。 LISA-PPV 公式是一种有用且准确的工具，用于确定既往有 PPV 的白内障患者的 IOL 屈光度（可在 获取）。