使用近轴简化眼模型预测调节反应。
Predicting Accommodative Response Using Paraxial Schematic Eye Models.
作者信息
Ramasubramanian Viswanathan, Glasser Adrian
机构信息
*PhD The College of Optometry, University of Houston, Houston, Texas (all authors).
出版信息
Optom Vis Sci. 2016 Jul;93(7):692-704. doi: 10.1097/OPX.0000000000000868.
PURPOSE
Previous ultrasound biomicroscopy (UBM) studies showed that accommodative optical response (AOR) can be predicted from accommodative biometric changes in a young and a pre-presbyopic population from linear relationships between accommodative optical and biometric changes, with a standard deviation of less than 0.55D. Here, paraxial schematic eyes (SE) were constructed from measured accommodative ocular biometry parameters to see if predictions are improved.
METHODS
Measured ocular biometry (OCT, A-scan, and UBM) parameters from 24 young and 24 pre-presbyopic subjects were used to construct paraxial SEs for each individual subject (individual SEs) for three different lens equivalent refractive index methods. Refraction and AOR calculated from the individual SEs were compared with Grand Seiko (GS) autorefractor measured refraction and AOR. Refraction and AOR were also calculated from individual SEs constructed using the average population accommodative change in UBM measured parameters (average SEs).
RESULTS
Schematic eye calculated and GS measured AOR were linearly related (young subjects: slope = 0.77, r = 0.86; pre-presbyopic subjects: slope = 0.64, r = 0.55). The mean difference in AOR (GS - individual SEs) for the young subjects was -0.27D and for the pre-presbyopic subjects was 0.33D. For individual SEs, the mean ± SD of the absolute differences in AOR between the GS and SEs was 0.50 ± 0.39D for the young subjects and 0.50 ± 0.37D for the pre-presbyopic subjects. For average SEs, the mean ± SD of the absolute differences in AOR between the GS and the SEs was 0.77 ± 0.88D for the young subjects and 0.51 ± 0.49D for the pre-presbyopic subjects.
CONCLUSIONS
Individual paraxial SEs predict AOR, on average, with a standard deviation of 0.50D in young and pre-presbyopic subject populations. Although this prediction is only marginally better than from individual linear regressions, it does consider all the ocular biometric parameters.
目的
先前的超声生物显微镜（UBM）研究表明，根据调节性光学变化与生物测量变化之间的线性关系，可从年轻和早老性前期人群的调节性生物测量变化预测调节性光学反应（AOR），标准差小于0.55D。在此，根据测量的调节性眼生物测量参数构建近轴简化眼（SE），以观察预测是否得到改善。
方法
使用来自24名年轻受试者和24名早老性前期受试者的测量眼生物测量（光学相干断层扫描、A超和UBM）参数，针对三种不同的晶状体等效折射率方法，为每个个体受试者构建近轴SE（个体SE）。将个体SE计算得到的屈光和AOR与Grand Seiko（GS）自动验光仪测量的屈光和AOR进行比较。还根据使用UBM测量参数中的平均人群调节性变化构建的个体SE计算屈光和AOR（平均SE）。
结果
简化眼计算得到的AOR与GS测量得到的AOR呈线性相关（年轻受试者：斜率 = 0.77，r = 0.86；早老性前期受试者：斜率 = 0.64，r = 0.55）。年轻受试者的AOR平均差异（GS - 个体SE）为 -0.27D，早老性前期受试者为0.33D。对于个体SE，GS与SE之间AOR绝对差异的平均值±标准差，年轻受试者为0.50 ± 0.39D，早老性前期受试者为0.50 ± 0.37D。对于平均SE，GS与SE之间AOR绝对差异的平均值±标准差，年轻受试者为0.77 ± 0.88D，早老性前期受试者为0.51 ± 0.49D。
结论
在年轻和早老性前期受试者群体中，个体近轴SE平均预测AOR的标准差为0.50D。尽管这种预测仅比个体线性回归略好，但它确实考虑了所有眼生物测量参数。
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