比较短眼轴白内障手术中人工智能公式与 3 种传统公式和 11 种组合方法的屈光预测误差。

Comparison of the refractive prediction errors of artificial intelligence formula with 3 conventional formulas and 11 combination methods in cataract surgery on eyes with short axial length.

机构信息

Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Republic of Korea.

Guri Hanyang University Hospital, Hanyang University School of Medicine, Guri, Republic of Korea.

出版信息

Arq Bras Oftalmol. 2024 Sep 23;88(2):e20230215. doi: 10.5935/0004-2749.2023-0215. eCollection 2024.

DOI:10.5935/0004-2749.2023-0215

PMID:39319909

Abstract

PURPOSE

To compare the refractive prediction error of Hill-radial basis function 3.0 with those of 3 conventional formulas and 11 combination methods in eyes with short axial lengths.

METHODS

The refractive prediction error was calculated using 4 formulas (Hoffer Q, SRK-T, Haigis, and Hill-RBF) and 11 combination methods (average of two or more methods). The absolute error was determined, and the proportion of eyes within 0.25-diopter (D) increments of absolute error was analyzed. Furthermore, the intraclass correlation coefficients of each method were computed to evaluate the agreement between target refractive error and postoperative spherical equivalent.

RESULTS

This study included 87 eyes. Based on the refractive prediction error findings, Hoffer Q formula exhibited the highest myopic errors, followed by SRK-T, Hill-RBF, and Haigis. Among all the methods, the Haigis and Hill-RBF combination yielded a mean refractive prediction error closest to zero. The SRK-T and Hill-RBF combination showed the lowest mean absolute error, whereas the Hoffer Q, SRK-T, and Haigis combination had the lowest median absolute error. Hill-radial basis function exhibited the highest intraclass correlation coefficient, whereas SRK-T showed the lowest. Haigis and Hill-RBF, as well as the combination of both, demonstrated the lowest proportion of refractive surprises (absolute error >1.00 D). Among the individual formulas, Hill-RBF had the highest success rate (absolute error ≤0.50 D). Moreover, among all the methods, the SRK-T and Hill-RBF combination exhibited the highest success rate.

CONCLUSIONS

Hill-radial basis function showed accuracy comparable to or surpassing that of conventional formulas in eyes with short axial lengths. The use and integration of various formulas in cataract surgery for eyes with short axial lengths may help reduce the incidence of refractive surprises.

摘要

目的

比较 Hill-radial basis function 3.0 与 3 种常规公式和 11 种组合方法在短眼轴眼中的屈光预测误差。

方法

使用 4 种公式（Hoffer Q、SRK-T、Haigis 和 Hill-RBF）和 11 种组合方法（两种或更多方法的平均值）计算屈光预测误差。分析绝对误差，并分析绝对误差 0.25 屈光度（D）增量内的眼数比例。此外，计算每种方法的组内相关系数，以评估目标屈光误差与术后球镜等效之间的一致性。

结果

本研究共纳入 87 只眼。根据屈光预测误差结果，Hoffer Q 公式显示出最高的近视误差，其次是 SRK-T、Hill-RBF 和 Haigis。在所有方法中，Haigis 和 Hill-RBF 组合的平均屈光预测误差最接近零。SRK-T 和 Hill-RBF 组合的平均绝对误差最低，而 Hoffer Q、SRK-T 和 Haigis 组合的中位数绝对误差最低。Hill-radial basis function 显示出最高的组内相关系数，而 SRK-T 则显示出最低的组内相关系数。Haigis 和 Hill-RBF 以及两者的组合显示出最低的屈光意外比例（绝对误差>1.00 D）。在个别公式中，Hill-RBF 具有最高的成功率（绝对误差≤0.50 D）。此外，在所有方法中，SRK-T 和 Hill-RBF 组合的成功率最高。