既往角膜屈光手术眼的人工晶状体度数计算。

IF 2.3 Q2 OPHTHALMOLOGY Therapeutic Advances in Ophthalmology Pub Date : 2022-08-30 eCollection Date: 2022-01-01 DOI:10.1177/25158414221118524
Philipp Anders, Lisa-Marie Anders, Adel Barbara, Nora Szentmary, Achim Langenbucher, Zisis Gatzioufas
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引用次数: 0

摘要

随着角膜屈光手术(CRS)后白内障手术的增多,人工晶状体(IOL)的度数计算成为眼科医生面临的一个越来越大的挑战。这些患者通常对视觉表现也有很高的期望。在这些情况下,传统的人工晶状体度数计算方案往往提供不准确的结果。本文旨在总结和推荐目前最常见的CRS方法:径向角膜切开术(RK)、光屈光性角膜切除术(PRK)、激光原位角膜磨圆术(LASIK)和小切口晶状体摘除(SMILE)。为此,将解释生物测量方法和IOL公式,并提出两者的组合。综上所述,很明显,最新一代的会聚公式在后CRS眼中具有良好的人工晶状体度数预测精度,尽管没有CRS眼的方法的预测精度尚未达到。射线追踪计算、术中像差测量和基于机器学习的公式有可能进一步改善crs后眼睛的屈光结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Intraocular lens power calculation in eyes with previous corneal refractive surgery.

Intraocular lens (IOL) power calculation after corneal refractive surgery (CRS) becomes an expanding challenge for ophthalmologists as more and more cataract surgeries after CRS are required. These patients typically also have high expectations as to visual performance. Conventional IOL power calculation schemes frequently provide inaccurate results in these cases. This review aims to summarize and recommend currently available IOL power calculation methods for eyes with the most common CRS methods: radial keratotomy (RK), photorefractive keratectomy (PRK), laser in situ keratomileusis (LASIK), and small incision lenticule extraction (SMILE). To this end, biometry measuring methods and IOL formulas will be explained and combinations of both are proposed. In synopsis, it is evident that the latest generation of vergence formulas exhibit favorable IOL power prediction accuracy in post-CRS eyes, even though the predictive precision of methods in eyes without CRS is not attained. Ray tracing computation, intraoperative aberrometry, and machine learning-based formulas hold potential to further improve refractive outcomes in post-CRS eyes.

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来源期刊
CiteScore
4.50
自引率
0.00%
发文量
44
审稿时长
12 weeks
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