眼科
屈光度
人工晶状体
医学
人工晶状体
验光服务
对比度(视觉)
视力
多焦点人工晶状体
图像质量
光学
超声乳化术
计算机科学
人工智能
物理
图像(数学)
作者
Ana B. Plaza-Puche,Jorge L. Alió,Scott MacRae,Len Zheleznyak,Esperanza Sala,Geunyoung Yoon
出处
期刊:Journal of Refractive Surgery
[SLACK, Inc.]
日期:2015-05-01
卷期号:31 (5): 300-307
被引量:40
标识
DOI:10.3928/1081597x-20150423-03
摘要
PURPOSE: To investigate the correlations existing between a trifocal intraocular lens (IOL) and a varifocal IOL using the “ex vivo” optical bench through-focus image quality analysis and the clinical visual performance in real patients by study of the defocus curves. METHODS: This prospective, consecutive, nonrandomized, comparative study included a total of 64 eyes of 42 patients. Three groups of eyes were differentiated according to the IOL implanted: 22 eyes implanted with the varifocal Lentis Mplus LS-313 IOL (Oculentis GmbH, Berlin, Germany); 22 eyes implanted with the trifocal FineVision IOL (Physiol, Liege, Belgium), and 20 eyes implanted with the monofocal Acrysof SA60AT IOL (Alcon Laboratories, Inc., Fort Worth, TX). Visual outcomes and defocus curve were evaluated postoperatively. Optical bench through-focus performance was quantified by computing an image quality metric and the cross-correlation coefficient between an unaberrated reference image and captured retinal images from a model eye with a 3.0-mm artificial pupil. RESULTS: Statistically significant differences among defocus curves of different IOLs were detected for the levels of defocus from −4.00 to −1.00 diopters (D) ( P < .01). Significant correlations were found between the optical bench image quality metric results and logMAR visual acuity scale in all groups (Lentis Mplus group: r = −0.97, P < .01; FineVision group: r = −0.82, P < .01; Acrysof group: r = −0.99, P < .01). Linear predicting models were obtained. CONCLUSIONS: Significant correlations were found between logMAR visual acuity and image quality metric for the multifocal and monofocal IOLs analyzed. This finding enables surgeons to predict visual outcomes from the optical bench analysis. [ J Refract Surg. 2015;31(5):300–307.]
科研通智能强力驱动
Strongly Powered by AbleSci AI