Prediction of Effective Lens Position Using Multiobjective Evolutionary Algorithm

Prediction of Effective Lens Position Using Multiobjective Evolutionary Algorithm
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DOI:
10.1167/tvst.8.3.64
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发表时间:
2019-06-01
影响因子:
3
通讯作者:
Tanaka, Kiyoshi
Tanaka, Kiyoshi
中科院分区:
医学3区
文献类型:
--
作者:
Tamaoki, Akeno;Kojima, Takashi;Tanaka, Kiyoshi

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目的:本研究的目的是评价多目标进化算法(MOEA)对白内障术后有效晶状体位置(ELP)预测的准确性。方法:对96例连续行白内障手术的患者96只眼(年龄73.9±8.6岁)进行回顾性研究;这些眼睛被随机分配到预测组(55只)和验证组(41只)。该过程随机重复30次,为两组创建30个数据集。预测组根据术前光学相干层析成像(OCT)、生物测量和前段OCT参数,采用MOEA和逐步多元回归分析(SMR)建立ELP预测方程。随后,评估了elp的预测精度,并与SRK/T和Haigis公式等常规公式进行了比较。结果:MOEA的平均绝对预测错误率(平均4.9% 6 3.2%,最大9.8%)显著低于SMR(平均7.3% 6 4.8%,最大24.4%)(P = 0.0323)。MOEA预测与实测ELP的相关系数中位数(R-2 = 0.771)高于SRK/T公式(R-2 = 0.412)和Haigis公式(R-2 = 0.438)。结论:与SMR和常规公式相比,MOEA预测ELP更准确,波动更小。
Purpose: The purpose of this study was to evaluate the prediction accuracy of effective lens position (ELP) after cataract surgery using a multiobjective evolutionary algorithm (MOEA).Methods: Ninety-six eyes of 96 consecutive patients (aged 73.9 +/- 8.6 years) who underwent cataract surgery were retrospectively studied; the eyes were randomly distributed to a prediction group (55 eyes) and a verification group (41 eyes). The procedure was repeated randomly 30 times to create 30 data sets for both groups. In the prediction group, based on the parameters of preoperative optical coherence tomography (OCT), biometry, and anterior segment (AS)-OCT, the prediction equation of ELP was created using MOEA and stepwise multiple regression analysis (SMR). Subsequently, the prediction accuracy of ELPs was evaluated and compared with conventional formulas, including SRK/T and the Haigis formula.Results: The rate of mean absolute prediction error of 0.3 mm or higher was significantly lower in MOEA (mean 4.9% 6 3.2%, maximum 9.8%) than SMR (mean 7.3% 6 4.8%, maximum 24.4%) (P = 0.0323). The median of the correlation coefficient (R-2 = 0.771) between the MOEA predicted and measured ELP was higher than the SRK/T (R-2 = 0.412) and Haigis (R-2 = 0.438) formulas.Conclusions: The study demonstrated that ELP prediction by MOEA was more accurate and was a method of less fluctuation than that of SMR and conventional formulas.