Literature DB >> 29098804

Fundus autofluorescence imaging in hereditary retinal diseases.

Francesco Pichi1, Emad B Abboud1, Nicola G Ghazi1, Arif O Khan1.   

Abstract

Fundus autofluorescence (FAF) is a non-invasive retinal imaging modality used in clinical practice to non-invasively map changes at the level of the retinal pigment epithelium (RPE)/photoreceptor complex and alterations of macular pigment distribution. This imaging method is based on the visualization of intrinsic fluorophores and may be easily and rapidly used in routine patient care. Excessive accumulation of lipofuscin granules in the lysosomal compartment of RPE cells represents a common downstream pathogenic pathway in various hereditary and complex retinal diseases. The clinical applications of FAF continue to expand. It is now an essential tool for evaluating macular dystrophies and various hereditary retinal disorders. Fundus autofluorescence (FAF) may detect abnormalities beyond those detected on funduscopic examination, fluorescein angiography (FA) or optical coherence tomography (OCT). Fundus autofluorescence (FAF) imaging is particularly helpful for differential diagnosis, detection and extent delineation of involved retinal areas, genotype-phenotype correlations and monitoring of changes overtime. Given its ease of use, non-invasive nature and value in characterizing retinal disease, FAF enjoys increasing clinical relevance. This review summarizes basic principles and FAF findings in various hereditary retinal diseases.
© 2017 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Fundus albipunctatus; North carolina macular dystrophy; Stargardt disease; bestrophinopaties; choroideremia; enhanced S-cone syndrome

Mesh:

Year:  2017        PMID: 29098804     DOI: 10.1111/aos.13602

Source DB:  PubMed          Journal:  Acta Ophthalmol        ISSN: 1755-375X            Impact factor:   3.761


  9 in total

Review 1.  Recent Advances in Age-Related Macular Degeneration Therapies.

Authors:  Marie Fabre; Lou Mateo; Diana Lamaa; Stéphanie Baillif; Gilles Pagès; Luc Demange; Cyril Ronco; Rachid Benhida
Journal:  Molecules       Date:  2022-08-10       Impact factor: 4.927

Review 2.  Genetic, environmental and other risk factors for progression of retinitis pigmentosa.

Authors:  Zi-Yang Huang; Li-Na Liang; Ya-Min Li; Kai Xu; Xiao-Yu Li
Journal:  Int J Ophthalmol       Date:  2022-05-18       Impact factor: 1.645

3.  Ultra-widefield fundus autofluorescence imaging in patients with autosomal recessive retinitis pigmentosa reveals a genotype-phenotype correlation.

Authors:  Rani Patal; Eyal Banin; Tomer Batash; Dror Sharon; Jaime Levy
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2022-05-02       Impact factor: 3.535

4.  Advances in Retinal Optical Imaging.

Authors:  Yanxiu Li; Xiaobo Xia; Yannis M Paulus
Journal:  Photonics       Date:  2018-04-27

5.  Tracing the retina to analyze the integrity and phagocytic capacity of the retinal pigment epithelium.

Authors:  Francisco J Valiente-Soriano; Manuel Salinas-Navarro; Johnny Di Pierdomenico; Diego García-Ayuso; Fernando Lucas-Ruiz; Isabel Pinilla; Nicolás Cuenca; Manuel Vidal-Sanz; María Paz Villegas-Pérez; Marta Agudo-Barriuso
Journal:  Sci Rep       Date:  2020-04-29       Impact factor: 4.379

6.  Gene Therapy for Rdh12-Associated Retinal Diseases Helps to Delay Retinal Degeneration and Vision Loss.

Authors:  Jiaxin Bian; Hongyu Chen; Junhui Sun; Yuqing Cao; Jianhong An; Qing Pan; Ming Qi
Journal:  Drug Des Devel Ther       Date:  2021-08-17       Impact factor: 4.162

7.  Spectrally resolved autofluorescence imaging in posterior uveitis.

Authors:  Maximilian W M Wintergerst; Nicholas R Merten; Moritz Berger; Chantal Dysli; Jan H Terheyden; Enea Poletti; Frank G Holz; Valentin S Schäfer; Matthias Schmid; Thomas Ach; Robert P Finger
Journal:  Sci Rep       Date:  2022-08-29       Impact factor: 4.996

Review 8.  Lipofuscin: a key compound in ophthalmic practice.

Authors:  Edward Florian Călin; Stella Ioana Patoni Popescu; Corina Cristina Coman Cernat; Cristina Patoni; Marius-Nicolae Popescu; Ovidiu Mușat
Journal:  Rom J Ophthalmol       Date:  2021 Apr-Jun

9.  Deep Learning to Distinguish ABCA4-Related Stargardt Disease from PRPH2-Related Pseudo-Stargardt Pattern Dystrophy.

Authors:  Alexandra Miere; Olivia Zambrowski; Arthur Kessler; Carl-Joe Mehanna; Carlotta Pallone; Daniel Seknazi; Paul Denys; Francesca Amoroso; Eric Petit; Eric H Souied
Journal:  J Clin Med       Date:  2021-12-08       Impact factor: 4.241

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.