比较toric 计算器预测的与实际测量的后角膜散光的准确性。
Comparison of accuracy of a toric calculator with predicted vs measured posterior corneal astigmatism.
机构信息
From the Department of Ophthalmology, Cullen Eye Institute, Baylor College of Medicine, Houston, Texas.
出版信息
J Cataract Refract Surg. 2023 Jan 1;49(1):29-33. doi: 10.1097/j.jcrs.0000000000001025.
PURPOSE
To compare the accuracy of postoperative residual astigmatism prediction using the Barrett toric calculator with predicted vs measured posterior corneal astigmatism (PCA).
SETTING
Cullen Eye Institute, Baylor College of Medicine, Houston, Texas.
DESIGN
Retrospective case series.
METHODS
We included 602 eyes with monofocal nontoric intraocular lens implantation. Biometry and PCA were obtained from the IOLMaster 700. Anticipated postoperative refractive astigmatism was calculated with the Barrett toric calculator for predicted and measured PCA, and the astigmatism prediction errors (PEs) for each were calculated using vector analysis. The vector PE magnitudes and percentage of eyes within certain amounts of vector PEs were compared between 2 methods.
RESULTS
Compared with the Barrett toric calculator with predicted PCA, the Barrett toric calculator with measured PCA produced significantly smaller mean vector PE (0.54 diopter [D] vs 0.57 D) and higher percentage of eyes with vector PE of ≤0.5 D (57.6% [347/602] vs 52.5% [316/602]) (both P < .05). In eyes with predicted residual astigmatism of ≥0.5 D, the Barrett toric calculator with measured PCA again yielded a significantly higher percentage of eyes with vector PE of ≤0.5 D (51.2% [226/441] vs 44.7% [197/441], P < .05).
CONCLUSIONS
Accuracy of residual astigmatism prediction is improved using the Barrett toric calculator with measured PCA rather than predicted PCA.
目的
比较使用 Barrett 散光计算器预测术后残余散光与预测后角膜散光（PCA）的准确性。
地点
德克萨斯州休斯顿贝勒医学院 Cullen 眼科研究所。
设计
回顾性病例系列。
方法
我们纳入了 602 只接受单焦点非散光人工晶状体植入的眼。生物测量和 PCA 均来自于 IOLMaster 700。使用 Barrett 散光计算器预测术后屈光性散光，计算预测和测量 PCA 的散光预测误差（PE），并使用向量分析比较两种方法的散光预测误差大小和一定数量的向量 PE 内眼数。
结果
与预测 PCA 的 Barrett 散光计算器相比，测量 PCA 的 Barrett 散光计算器产生的平均向量 PE 显著更小（0.54 屈光度[D]比 0.57 D），向量 PE 为≤0.5 D 的眼比例更高（57.6%[347/602]比 52.5%[316/602]）（均 P<.05）。在预测残余散光≥0.5 D 的眼中，测量 PCA 的 Barrett 散光计算器再次产生了更高比例的向量 PE 为≤0.5 D 的眼（51.2%[226/441]比 44.7%[197/441]，P<.05）。
结论
使用测量 PCA 的 Barrett 散光计算器预测残余散光的准确性优于预测 PCA。
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