Literature DB >> 29045093

Changes of Drusen Number and Central Retinal Thickness in Age-Related Macular Degeneration Patients Over Two Years

Krešimir Mandić1, Nenad Vukojević1, Tomislav Jukić1, Damir Katušić1, Jelena Juri Mandić1.   

Abstract

Age-related macular degeneration (ARMD) is the leading cause of blindness in developed world but there are still much unknown facts about the disease itself. Age, genetic factors and smoking are the three main risk factors for the development of ARMD, but the exact pathophysiological mechanism of the disease remains unknown. Current high resolution optical coherence tomography devices provide ample new information on retinal layers, drusen characteristics and their interaction. In this study, we analyzed 44 eyes with drusiform dry ARMD using high resolution optical coherence tomography over a 2-year period. Our results showed a statistically significant increase in drusen number in both females and males in the 2-year period. On average, increment by 4 and 5 drusen per eye during the 2-year period was recorded in female and male patients with drusiform dry ARMD, respectively. Also, statistical analysis of the central retinal thickness showed that women with drusiform dry ARMD had a statistically significantly thinner macula than their male counterparts.

Entities:  

Keywords:  Macular degeneration, aged; Retinal drusen; Retina; Sex; Male; Female

Mesh:

Year:  2016        PMID: 29045093     DOI: 10.20471/acc.2016.55.03.02

Source DB:  PubMed          Journal:  Acta Clin Croat        ISSN: 0353-9466            Impact factor:   0.780


  3 in total

Review 1.  THE USE OF ELECTRORETINOGRAPHY AND OPTICAL COHERENCE TOMOGRAPHY IN PATIENTS WITH SCHIZOPHRENIA.

Authors:  Din Duraković; Ante Silić; Vjekoslav Peitl; Rašeljka Tadić; Kristina Lončarić; Trpimir Glavina; Daniela Šago; Ljiljana Pačić Turk; Dalibor Karlović
Journal:  Acta Clin Croat       Date:  2020-12       Impact factor: 0.932

2.  Effects of subthreshold nanosecond laser therapy in age-related macular degeneration using artificial intelligence (STAR-AI Study).

Authors:  Verina Hanna; Jonathan Oakley; Daniel Russakoff; Netan Choudhry
Journal:  PLoS One       Date:  2021-04-29       Impact factor: 3.752

3.  MHANet: A hybrid attention mechanism for retinal diseases classification.

Authors:  Lianghui Xu; Liejun Wang; Shuli Cheng; Yongming Li
Journal:  PLoS One       Date:  2021-12-16       Impact factor: 3.752

  3 in total

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