目的:人工晶状体(IOL)计算的准确性是确定白内障手术成功与否的关键指标之一。然而,在高度近视的患者中,计算误差相对大于一般患者。随着人工智能(AI)技术的不断发展,与AI相关的计算公式也不断涌现。这项研究的目的是评估AI计算公式在计算高度近视患者IOL功率时的准确性。
方法:我们使用三个数据库搜索了截至2023年8月的相关文献:PubMed,EMBASE,还有Cochrane图书馆.比较了六个IOL计算公式:凯恩,Hill-RBF,EVO,巴雷特二世,海吉斯,和SRK/T.包括的指标是平均绝对误差(MAE)和±0.25D内的误差百分比,±0.50D,和±1.00D。
结果:结果表明,凯恩的MAE明显低于巴雷特II(平均差=-0.03D,P=0.02),SRK/T(MD=-0.08D,P=0.02),和Haigis(MD=-0.12D,P<0.00001)。凯恩在±0.25D时的屈光预测误差百分比,±0.50D,和±1.00D均显着大于SRK/T(分别为P=0.007、0.003和0.01)和Haigis(分别为P=0.009、0.0001和0.001)。Hill-RBF和Barret之间没有统计学上的显着差异,但Hill-RBF明显优于SRK/T和Haigis。
结论:与传统公式相比,AI计算公式显示出更准确的结果。其中,Kane在计算高度近视患者的IOL度数方面表现最佳。
OBJECTIVE: The accuracy of intraocular lens (IOL) calculations is one of the key indicators for determining the success of cataract surgery. However, in highly myopic patients, the calculation errors are relatively larger than those in general patients. With the continuous development of artificial intelligence (AI) technology, there has also been a constant emergence of AI-related calculation formulas. The purpose of this investigation was to evaluate the accuracy of AI calculation formulas in calculating the power of IOL for highly myopic patients.
METHODS: We searched the relevant literature through August 2023 using three databases: PubMed, EMBASE, and the Cochrane Library. Six IOL calculation formulas were compared: Kane, Hill-RBF, EVO, Barrett II, Haigis, and SRK/T. The included metrics were the mean absolute error (MAE) and percentage of errors within ± 0.25 D, ± 0.50 D, and ± 1.00 D.
RESULTS: The results showed that the MAE of Kane was significantly lower than that of Barrett II (mean difference = - 0.03 D, P = 0.02), SRK/T (MD = - 0.08 D, P = 0.02), and Haigis (MD = - 0.12 D, P < 0.00001). The percentage refractive prediction errors for Kane at ± 0.25 D, ± 0.50 D, and ± 1.00 D were significantly greater than those for SRK/T (P = 0.007, 0.003, and 0.01, respectively) and Haigis (P = 0.009, 0.0001, and 0.001, respectively). No statistically significant differences were noted between Hill-RBF and Barret, but Hill-RBF was significantly better than SRK/T and Haigis.
CONCLUSIONS: The AI calculation formulas showed more accurate results compared with traditional formulas. Among them, Kane has the best performance in calculating IOL degrees for highly myopic patients.