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Multimodal image characterization of paravenous atrophy
Objective: The objective is to describe a clinical case of paravenous atrophy using a multimodal image. Methods: A 48-year-old man was visited and followed in the ophthalmology department of Hospital Clinic (Barcelona). Visual acuity, slit-lamp exam, retinography, autofluorescence, visual field, opt...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
German Medical Science GMS Publishing House
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637453/ https://www.ncbi.nlm.nih.gov/pubmed/31355125 http://dx.doi.org/10.3205/oc000116 |
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author | Alba-Linero, Carmen Barberi, Glenda Espinosa Llorens, Victor Socorro Alforja Castella, María Adán, Alfredo |
author_facet | Alba-Linero, Carmen Barberi, Glenda Espinosa Llorens, Victor Socorro Alforja Castella, María Adán, Alfredo |
author_sort | Alba-Linero, Carmen |
collection | PubMed |
description | Objective: The objective is to describe a clinical case of paravenous atrophy using a multimodal image. Methods: A 48-year-old man was visited and followed in the ophthalmology department of Hospital Clinic (Barcelona). Visual acuity, slit-lamp exam, retinography, autofluorescence, visual field, optical coherence tomography, and electrophysiology test were performed. Results: The patient had a history of Behcet’s disease. Autofluorescence revealed hypoautofluorescence at the paravenous region, th visual field was also altered and electrophysiologic test were reduced. Conclusion: Paravenous atrophy is a rare entity not well described currently. Patients are frequently misdiagnosed. Multimodal image could help to characterize this condition properly and improve the management. |
format | Online Article Text |
id | pubmed-6637453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | German Medical Science GMS Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-66374532019-07-26 Multimodal image characterization of paravenous atrophy Alba-Linero, Carmen Barberi, Glenda Espinosa Llorens, Victor Socorro Alforja Castella, María Adán, Alfredo GMS Ophthalmol Cases Article Objective: The objective is to describe a clinical case of paravenous atrophy using a multimodal image. Methods: A 48-year-old man was visited and followed in the ophthalmology department of Hospital Clinic (Barcelona). Visual acuity, slit-lamp exam, retinography, autofluorescence, visual field, optical coherence tomography, and electrophysiology test were performed. Results: The patient had a history of Behcet’s disease. Autofluorescence revealed hypoautofluorescence at the paravenous region, th visual field was also altered and electrophysiologic test were reduced. Conclusion: Paravenous atrophy is a rare entity not well described currently. Patients are frequently misdiagnosed. Multimodal image could help to characterize this condition properly and improve the management. German Medical Science GMS Publishing House 2019-07-16 /pmc/articles/PMC6637453/ /pubmed/31355125 http://dx.doi.org/10.3205/oc000116 Text en Copyright © 2019 Alba-Linero et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Alba-Linero, Carmen Barberi, Glenda Espinosa Llorens, Victor Socorro Alforja Castella, María Adán, Alfredo Multimodal image characterization of paravenous atrophy |
title | Multimodal image characterization of paravenous atrophy |
title_full | Multimodal image characterization of paravenous atrophy |
title_fullStr | Multimodal image characterization of paravenous atrophy |
title_full_unstemmed | Multimodal image characterization of paravenous atrophy |
title_short | Multimodal image characterization of paravenous atrophy |
title_sort | multimodal image characterization of paravenous atrophy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637453/ https://www.ncbi.nlm.nih.gov/pubmed/31355125 http://dx.doi.org/10.3205/oc000116 |
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