Retro-mode imaging and fundus autofluorescence with scanning laser ophthalmoscope of retinal dystrophies

BMC Ophthalmology

Research Article

Vergallo Stefano¹  Bandello Francesco²  Battaglia Parodi Maurizio²  Kontadakis Stelios²  Cascavilla Marialucia²  Zucchiatti Ilaria²  Iacono Pierluigi³ 

[1] Clinica Oculistica, Santa Maria della Misericordia Hospital, Udine, Italy;Department of Ophthalmology, Vita-Salute University, San Raffaele Scientific Institute, Milan, Italy;G. B. Bietti Foundation, IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Rome, Italy;

关键词: Optical Coherence Tomography;    Retinal Vein Occlusion;    Cystoid Macular Edema;    Polypoidal Choroidal Vasculopathy;    Retinal Dystrophy;   

DOI  :  10.1186/1471-2415-12-8

 received in 2011-03-16, accepted in 2012-03-19,  发布年份 2012

来源: Springer

【 摘 要 】

BackgroundRetinal dystrophies display a considerably wide range of phenotypic variability, which can make diagnosis and clinical staging difficult. The aim of the study is to analyze the contribution of retro-mode imaging (RMI) and fundus autofluorescence (FAF) to the characterization of retinal dystrophies.MethodsEighteen consecutive patients affected by retinal dystrophies underwent a complete ophthalmological examination, including best corrected visual acuity with ETDRS charts, blue-light fundus autofluorescence, (BL-FAF), near-infrared fundus autofluorescence (NIR-FAF), and RMI. The primary outcome was the identification of abnormal patterns on RMI. The secondary outcome was the correlation with the findings on BL-FAF and NIR-FAF.ResultsOverall, the main feature of RMI is represented by a pseudo-3D pattern of all the lesions at the posterior pole. More specifically, any accumulation of material within the retina appears as an area of elevation of different shape and size, displaying irregular and darker borders. No precise correlations between RMI, BL-AF, and NIR-AF imaging was found.ConclusionsRMI and FAF appear to be useful tools for characterizing retinal dystrophies. Non-invasive diagnostic tools may yield additional information on the clinical setting and the monitoring of the patients.

【 授权许可】

Unknown   
© Parodi et al.; licensee BioMed Central Ltd. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.