Multimodal imaging of foveal cavitation in retinal dystrophies

2016 ◽  
Vol 255 (2) ◽  
pp. 271-279 ◽  
Author(s):  
Maurizio Battaglia Parodi ◽  
Maria Vittoria Cicinelli ◽  
Pierluigi Iacono ◽  
Gianluigi Bolognesi ◽  
Francesco Bandello
2020 ◽  
Vol 13 (4) ◽  
pp. 75-82
Author(s):  
S. V. Milash ◽  
I. V. Zolnikova ◽  
V. V. Kadyshev

Multimodal visualization data of inherited retinal degeneration (IRD) on a Mirante platform (Nidek, Japan), used in a number of clinical cases, is compared with the data obtained by electrophysiological diagnostic methods. 4 patients with varying IRD were examined: adult-onset foveomacular vitelliform dystrophy, Stargardt disease, including those with fundus flavimaculatus, and retinitis pigmentosa. Multimodal imaging includes: colour fundus imaging, fundus autofluorescence, retro mode, and optical coherence tomography. Electroretinography was performed using an MBN electroretinograph (Russia), and electrooculography was performed using a RETIscan Science system (Roland Consult, Germany). Using non-invasive retinal imaging methods, specific patterns of inherited dystrophies were shown, which correlated well with the data of electrophysiological research methods. The combination of multimodal imaging on the Mirante platform (Nidek, Japan) in combination with electrophysiological diagnostic methods can be successfully used in complex diagnostics, monitoring of the progression, and evaluation of the results of IRD treatment.


2021 ◽  
Author(s):  
João Pedro Marques ◽  
Ana Marta ◽  
Sara Geada ◽  
Ana Luísa Carvalho ◽  
Pedro Menéres ◽  
...  

INTRODUCTION The purpose of this study was to compare clinical/demographic, functional testing and multimodal imaging features between genetically solved and genetically unsolved non-syndromic retinitis pigmentosa (nsRP) patients. METHODS Cross sectional study conducted at an inherited retinal dystrophies reference center. Consecutive patients with nsRP and available genetic testing results performed between 2018 and 2020 were included. Genetic testing was clinically-oriented and variants were classified according to the American College of Medical Genetics and Genomics. Only class IV or V variants were considered disease-causing. Clinical/demographic, functional and imaging features were compared between genetically unsolved (G1) and genetically solved (G2) patients. RESULTS A total of 175 patients (146 families) were included: 68 patients (59 families) in G1 and 107 patients (87 families) in G2. First symptoms <25 years, consanguinity, evidence for a particular inheritance pattern and absence of indicators for phenocopies were significantly more prevalent in G2. No significant differences were observed on best-corrected visual acuity. The visual field index and mean central retinal layer thickness were significantly higher in G1. The frequency of atypical features on multimodal imaging did not differ between groups. CONCLUSION Individual clinical/demographic, functional testing and multimodal imaging features should be considered when counselling patients about the probability of identifying disease-causing variants.


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