Thibos Larry N, Hong Xin, Bradley Arthur, Applegate Raymond A
School of Optometry, Indiana University, Bloomington, IN, USA.
J Vis. 2004 Apr 23;4(4):329-51. doi: 10.1167/4.4.9.
We determined the accuracy and precision of 33 objective methods for predicting the results of conventional, sphero-cylindrical refraction from wavefront aberrations in a large population of 200 eyes. Accuracy for predicting defocus (as specified by the population mean error of prediction) varied from -0.50 D to +0.25 D across methods. Precision of these estimates (as specified by 95% limits of agreement) ranged from 0.5 to 1.0 D. All methods except one accurately predicted astigmatism to within +/-1/8D. Precision of astigmatism predictions was typically better than precision for predicting defocus and many methods were better than 0.5D. Paraxial curvature matching of the wavefront aberration map was the most accurate method for determining the spherical equivalent error whereas least-squares fitting of the wavefront was one of the least accurate methods. We argue that this result was obtained because curvature matching is a biased method that successfully predicts the biased endpoint stipulated by conventional refractions. Five methods emerged as reasonably accurate and among the most precise. Three of these were based on pupil plane metrics and two were based on image plane metrics. We argue that the accuracy of all methods might be improved by correcting for the systematic bias reported in this study. However, caution is advised because some tasks, including conventional refraction of defocus, require a biased metric whereas other tasks, such as refraction of astigmatism, are unbiased. We conclude that objective methods of refraction based on wavefront aberration maps can accurately predict the results of subjective refraction and may be more precise. If objective refractions are more precise than subjective refractions, then wavefront methods may become the new gold standard for specifying conventional and/or optimal corrections of refractive errors.
我们在200只眼睛的大样本群体中,确定了33种从波前像差预测传统球柱面验光结果的客观方法的准确性和精确性。各方法预测散焦的准确性(以群体平均预测误差表示)在-0.50D至+0.25D之间变化。这些估计值的精确性(以95%一致性界限表示)范围为0.5至1.0D。除一种方法外,所有方法均能准确预测散光在±1/8D范围内。散光预测的精确性通常优于散焦预测,许多方法的精确性优于0.5D。波前像差图的近轴曲率匹配是确定球镜等效误差最准确的方法,而波前的最小二乘拟合是最不准确的方法之一。我们认为得到这一结果是因为曲率匹配是一种有偏方法,它成功地预测了传统验光规定的有偏终点。有五种方法表现出相当准确且是最精确的方法之一。其中三种基于瞳孔平面指标,两种基于像平面指标。我们认为,通过校正本研究报告的系统偏差,所有方法的准确性可能会提高。然而,建议谨慎行事,因为一些任务,包括散焦的传统验光,需要有偏指标,而其他任务,如散光验光,则是无偏的。我们得出结论,基于波前像差图的客观验光方法可以准确预测主观验光结果,并且可能更精确。如果客观验光比主观验光更精确,那么波前方法可能会成为指定传统和/或最佳屈光不正矫正的新金标准。