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.

IF 1.1 4区 医学 Q3 OPHTHALMOLOGY
Arquivos brasileiros de oftalmologia Pub Date : 2024-09-23 eCollection Date: 2024-01-01 DOI:10.5935/0004-2749.2023-0215
Song-A Che, Mincheol Seong, Kookyoung Kim, Yong Woo Lee
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引用次数: 0

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.

人工智能公式与 3 种传统公式及 11 种组合方法在短轴长白内障手术中的屈光预测误差比较。
目的:比较希尔-径向基函数 3.0 与 3 种传统公式和 11 种组合方法在短轴眼中的屈光预测误差:使用 4 种公式(Hoffer Q、SRK-T、Haigis 和 Hill-RBF)和 11 种组合方法(两种或两种以上方法的平均值)计算屈光预测误差。确定了绝对误差,并分析了绝对误差增量在 0.25 屈光度 (D) 以内的眼睛比例。此外,还计算了每种方法的类内相关系数,以评估目标屈光不正与术后球面等值之间的一致性:本研究包括 87 只眼睛。根据屈光预测误差的结果,Hoffer Q 公式的近视误差最大,其次是 SRK-T、Hill-RBF 和 Haigis。在所有方法中,Haigis 和 Hill-RBF 组合得出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小,而 Hoffer Q、SRK-T 和 Haigis 组合的中位绝对误差最小。希尔-径向基函数的类内相关系数最高,而 SRK-T 的类内相关系数最低。海吉斯和希尔-径向基函数以及两者的组合显示出的屈光意外(绝对误差大于 1.00 D)比例最低。在单个公式中,希尔-RBF 的成功率最高(绝对误差小于 0.50 D)。此外,在所有方法中,SRK-T 和 Hill-RBF 组合的成功率最高:结论:希尔-径向基函数在短轴向长度的眼球中显示出与传统公式相当或更高的精确度。在短轴向长度的白内障手术中使用和整合各种公式可能有助于降低屈光意外的发生率。
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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
200
审稿时长
6-12 weeks
期刊介绍: The ABO-ARQUIVOS BRASILEIROS DE OFTALMOLOGIA (ABO, ISSN 0004-2749 - print and ISSN 1678-2925 - (ABO, ISSN 0004-2749 - print and ISSN 1678-2925 - electronic version), the official bimonthly publication of the Brazilian Council of Ophthalmology (CBO), aims to disseminate scientific studies in Ophthalmology, Visual Science and Health public, by promoting research, improvement and updating of professionals related to the field.
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