Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/107236
Title: Retinal texture biomarkers may help to discriminate between Alzheimer's, Parkinson's, and healthy controls
Authors: Nunes, Ana 
Silva, Gilberto 
Duque, Cristina
Januário, Cristina 
Santana, Isabel 
Ambrósio, António 
Castelo-Branco, Miguel 
Bernardes, Rui 
Issue Date: 2019
Publisher: Public Library of Science
Serial title, monograph or event: PLoS ONE
Volume: 14
Issue: 6
Abstract: A top priority in biomarker development for Alzheimer's disease (AD) and Parkinson's disease (PD) is the focus on early diagnosis, where the use of the retina is a promising avenue of research. We computed fundus images from optical coherence tomography (OCT) data and analysed the structural arrangement of the retinal tissue using texture metrics. We built clinical class classification models to distinguish between healthy controls (HC), AD, and PD, using machine learning (support vector machines). Median sensitivity is 88.7%, 79.5% and 77.8%, for HC, AD, and PD eyes, respectively. When the same subject has the same classification for both eyes, 94.4% (median) of the classifications are correct. A significant amount of information discriminating between multiple neurodegenerative states is conveyed by OCT imaging of the human retina, even when differences in thickness are not yet present. This technique may allow for simultaneously diagnosing Alzheimer's and Parkinson's diseases.
URI: https://hdl.handle.net/10316/107236
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0218826
Rights: openAccess
Appears in Collections:I&D ICBR - Artigos em Revistas Internacionais
I&D CNC - Artigos em Revistas Internacionais
FMUC Medicina - Artigos em Revistas Internacionais
I&D ICNAS - Artigos em Revistas Internacionais
I&D CIBIT - Artigos em Revistas Internacionais

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