Quality of Vision After Refractive Surgery

Author(s):  
Thomas Kohnen ◽  
Jens Bühren ◽  
Thomas Kasper ◽  
Evdoxia Terzi
QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Mohammed El Sharkawy Mohammed Yousef ◽  
Rania Serag Elkitkat ◽  
Maged Maher Salib Roshdy ◽  
Khaled Abdel Wahab Eltagoury

Abstract Background : Keratoconus (KC) is a bilateral asymmetric localised inferior and central corneal thinning and ectasia. Usually, it causes high myopia and irregular astigmatism resulting in a poor quality of vision. One of the most important ways of avoiding iatrogenic ectasia in cornea during refractive surgery is to detect KC in its earliest stage using the Pentacam. An important asymmetry decentration index is the inferior minus superior (IS) value. Purpose : Detection of Inferior minus Superior (IS) value and its Cut-off Value Methods : This is a cross-sectional, case control study that included 92 right eyes of 92 subjects, who presented to the outpatient clinic of “Al Watany Eye Hospitals” seeking refractive surgery or routine medical consultations. Our study focused on the measurement of the IS-value in early KC (TKC grade 1 and FFKC) and normal eyes. The right eye of each candidate was scanned 5 times in the same setting using the Pentacam. The study adhered to the tenets of the Declaration of Helsinki, and an approval was obtained from the ethical committee of Ain Shams University Hospitals. Results : We detected remarkably high statistically significant difference between patients and controls regarding the IS-value (p < 0.001). The mean (±SD) of control and cases group was 0.3 ± 0.2 and 1.4 ± 0.6, respectively. The cut-off point of 0.69 with high area under the receiver operating characteristic (AUROC). Coefficient of variation median (95% CI) for cases and controls were 1.4% (0.9 to 3.1%) and 6.2% (3 to 9.4%), respectively. Conclusion : The IS-value has a high repeatability and AUROC for differentiating early KC from normal corneas. It can be regarded as an accurate parameter for early KC detection.


1998 ◽  
Vol 14 (5) ◽  
pp. 551-558
Author(s):  
Ioannis G Pallikaris

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Miguel Angel M. A. Sanchez-Tena ◽  
Cristina C. Alvarez-Peregrina ◽  
Cesar C. Villa-Collar

Introduction. Dry eye is one of the most frequent eye problems with prevalence and incidence from 5% to 50%. Citation network analysis allows us to simplify information in a visual way and provides a better understanding of the research done in a specific field. The objective of this paper is to quantify and analyse the relationships among the scientific literature in this field using citation network analysis. Materials and Methods. The program used to analyse the citations was CitNetExplorer®. Previously, papers published in the research field during a predefined period were found using the keywords defined in Web of ScienceTM (WOS). Results. Using the keyword “dry eye,” during the period 2007 to 2018, the most cited paper is by Lemp, MA (2007), with a citation index score of 913 in our citation network containing 6,500 most relevant papers. Analysing clustering, we found 5 relevant groups that match the main areas of research in this field: definition and classification, treatment, retina, refractive surgery, and quality of vision. Core Publication is composed of 64% of the papers in the network, which is a high percentage. It indicates a clear focus on the research carried out in this field. Conclusions. This citation network analysis shows definition and classification of dry eye to be the most researched area in this field, followed by treatment.


The Eye ◽  
2020 ◽  
Vol 22 (130) ◽  
pp. 36-43
Author(s):  
Gulnara Andrienko

Corneal topography is the main method for assessing the regularity of the surface of the cornea. Corneal irregularity leads to a deterioration in its refractive properties and a decrease in the quality of vision. Learning the basics of corneal topography will help determine the choice of a color map for a specific situation, as well as understand and analyze the data associated with these maps. This article describes the main types of topographic maps, various patterns of corneal shape in normal and pathological conditions and how to use the data obtained to design and fit contact lenses. Despite the fact that images may vary depending on topographers used, the information presented in this article is universal.


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