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生物测量与人工晶状体屈光度计算

Biometry and intraocular lens power calculation.

作者信息

Lee Alexander C, Qazi Mujtaba A, Pepose Jay S

机构信息

Pepose Vision Institute, Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St Louis, Missouri 63017, USA.

出版信息

Curr Opin Ophthalmol. 2008 Jan;19(1):13-7. doi: 10.1097/ICU.0b013e3282f1c5ad.

Abstract

PURPOSE OF REVIEW

Heightened patient expectations for precise postoperative refractive results have spurred the continued improvements in biometry and intraocular lens calculations. In order to meet these expectations, attention to proper patient selection, accurate keratometry and biometry, and appropriate intraocular lens power formula selection with optimized lens constants are required. The article reviews recent studies and advances in the field of biometry and intraocular lens power calculations.

RECENT FINDINGS

Several noncontact optical-based devices compare favorably, if not superiorly, to older ultrasonic biometric and keratometric techniques. With additional improvements in the internal acquisition algorithm, the new IOL Master software version 5 upgrade should lessen operator variability and further enhance signal acquisition. The modern Haigis-L and Holladay 2 formulas more accurately determine the position and the shape of the intraocular lens power prediction curve.

SUMMARY

Postoperative refractive results depend on the precision of multiple factors and measurements. The element with the highest variability and inaccuracy is, ultimately, going to determine the outcome. By understanding the advantages and limitations of the current technology, it is possible to consistently achieve highly accurate results.

摘要

综述目的

患者对精确的术后屈光结果期望提高,推动了生物测量和人工晶状体计算的持续改进。为满足这些期望,需要关注合适的患者选择、准确的角膜曲率测量和生物测量,以及选择合适的人工晶状体屈光度公式并优化晶状体常数。本文回顾了生物测量和人工晶状体屈光度计算领域的最新研究和进展。

最新发现

几种基于非接触光学的设备即便不比老式超声生物测量和角膜曲率测量技术更优越,也至少与之相当。随着内部采集算法的进一步改进,新型IOL Master软件版本5的升级应能减少操作者的差异并进一步增强信号采集。现代的Haigis-L和Holladay 2公式能更准确地确定人工晶状体屈光度预测曲线的位置和形状。

总结

术后屈光结果取决于多个因素和测量的精确性。最终,变异性和不准确性最高的因素将决定结果。通过了解当前技术的优缺点,有可能始终获得高度准确的结果。

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