人工晶状体
视力
医学
验光服务
眼科
单眼
计算机科学
人工晶状体
人工智能
作者
Joaquín Fernández,Filomena Ribeiro,Carlos Rocha‐de‐Lossada,Manuel Rodríguez‐Vallejo
出处
期刊:Journal of Refractive Surgery
[SLACK, Inc.]
日期:2024-02-01
卷期号:40 (2)
被引量:3
标识
DOI:10.3928/1081597x-20231212-01
摘要
Purpose: To explore a potential functional classification of intraocular lenses (IOLs) based on monocular visual acuity defocus curves (VADCs) as a primary end-point. Methods: A systematic literature search was conducted using PubMed. Two independent reviewers screened the literature for inclusion and data extraction. Inclusion criteria were full-text primary clinical studies of IOLs, published in English from 2010 onward, involving patients undergoing cataract or refractive lens exchange. A cluster analysis was conducted to explore similarities in the range of field (RoF) and increase of visual acuity from intermediate to near (ΔVA). Results: A total of 107 studies were ultimately included from the 436 identified in the systematic search, with an additional 5 studies added through the snowballing technique search. The cluster analysis was conducted using 69 reports that included monocular VADCs. Two main categories were identified based on the achieved RoF for 0.2 and 0.3 logMAR: full (FRoF) and partial (PRoF) RoF IOLs. Three subcategories were identified for FRoF depending on ΔVA: continuous (FRoF-C), smooth (FRoF-Sm), and steep (FRoF-St). On the other hand, PRoF IOLs shared the characteristic of monotonous decrease in visual acuity and were subclassified into two subcategories depending on the achieved RoF: narrowed (PRoF-N) and extended (PRoF-Ex). An additional subcategory was added to PRoF, enhanced (PRoF-En), for 7 reports alternating between PRoF-N and PRoF-Ex depending on the use of 0.2 or 0.3 logMAR as a cut-off for calculating the RoF. Conclusions: IOLs can be functionally classified into six types depending on the RoF and shape of the monocular VADC. [ J Refract Surg . 2024;40(2):e108–e116.]
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