Evaluation of the Nallasamy formula: a stacking ensemble machine learning method for refraction prediction in cataract surgery.
Evaluation of the Nallasamy formula: a stacking ensemble machine learning method for refraction prediction in cataract surgery.
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Nallasamy 公式的评估：一种用于白内障手术屈光预测的堆叠集成机器学习方法。
DOI：
10.1136/bjophthalmol-2021-320599
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发表时间：
2023-08
影响因子：
4.1
通讯作者：
Nallasamy, Nambi
中科院分区：
文献类型：
--
作者：
Li, Tingyang;Stein, Joshua;Nallasamy, Nambi
为普通白内障患者使用爱尔康SN60WF人工晶状体，开发一种新的人工晶状体度数选择方法，提高准确性。在密歇根大学凯洛格眼科中心接受白内障手术并使用爱尔康SN60WF晶状体的5016名患者（6893只眼睛）被纳入研究。使用4013例患者（5890只眼睛）的训练数据集开发了一种基于机器学习的方法，并在1003例患者（1003只眼睛）的测试数据集上进行了评估。并与Barrett Universal II、Emmetropia Verifying Optical （EVO）、Haigis、Hoffer Q、Holladay 1、PearlDGS和SRK/T进行了性能比较。测试数据集中Nallasamy公式的平均绝对误差（MAE）为0.312 Dioptres，中位数绝对误差（MedAE）为0.242 D，现有方法的性能如下：Barrett Universal II MAE=0.328 D, MedAE=0.256 D；EVO MAE=0.322 D, MedAE=0.251 D；Haigis MAE=0.363 D, MedAE=0.289 D；Hoffer Q MAE=0.404 D, MedAE=0.331 D；Holladay 1 MAE=0.371 D, MedAE=0.298 D；PearlDGS MAE=0.329 D, MedAE=0.258 D；SRK/T MAE=0.376 D, MedAE=0.300 D，经配对Wilcoxon检验和Bonferroni校正，Nallasamy公式显著优于现有的7种方法（p<0.05）。Nallasamy公式（可在https://lenscalc.com/上找到）在总体MAE、MedAE和预测误差在0.5 D内的眼睛百分比方面优于其他七个公式。临床意义可能主要在人群水平上。
To develop a new intraocular lens power selection method with improved accuracy for general cataract patients receiving Alcon SN60WF lenses. A total of 5016 patients (6893 eyes) who underwent cataract surgery at University of Michigan’s Kellogg Eye Center and received the Alcon SN60WF lens were included in the study. A machine learning-based method was developed using a training dataset of 4013 patients (5890 eyes), and evaluated on a testing dataset of 1003 patients (1003 eyes). The performance of our method was compared with that of Barrett Universal II, Emmetropia Verifying Optical (EVO), Haigis, Hoffer Q, Holladay 1, PearlDGS and SRK/T. Mean absolute error (MAE) of the Nallasamy formula in the testing dataset was 0.312 Dioptres and the median absolute error (MedAE) was 0.242 D. Performance of existing methods were as follows: Barrett Universal II MAE=0.328 D, MedAE=0.256 D; EVO MAE=0.322 D, MedAE=0.251 D; Haigis MAE=0.363 D, MedAE=0.289 D; Hoffer Q MAE=0.404 D, MedAE=0.331 D; Holladay 1 MAE=0.371 D, MedAE=0.298 D; PearlDGS MAE=0.329 D, MedAE=0.258 D; SRK/T MAE=0.376 D, MedAE=0.300 D. The Nallasamy formula performed significantly better than seven existing methods based on the paired Wilcoxon test with Bonferroni correction (p<0.05). The Nallasamy formula (available at https://lenscalc.com/) outperformed the seven other formulas studied on overall MAE, MedAE, and percentage of eyes within 0.5 D of prediction. Clinical significance may be primarily at the population level.
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影响因子：
3
作者：
Li T;Yang K;Stein JD;Nallasamy N
通讯作者：
Nallasamy N
影响因子：
13.7
作者：
Hoffer, Kenneth J.;Savini, Giacomo
通讯作者：
Savini, Giacomo
影响因子：
7.8
作者：
WOLPERT, DH
通讯作者：
WOLPERT, DH
影响因子：
8.1
作者：
Bommakanti, Nikhil K.;Zhou, Yunshu;Stein, Joshua D.
通讯作者：
Stein, Joshua D.
影响因子：
3.9
作者：
Yamauchi T;Tabuchi H;Takase K;Masumoto H
通讯作者：
Masumoto H