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A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images

BACKGROUND: Traditional methods for diagnosing dementia are costly, time-consuming, and somewhat invasive. Since the retina shares significant anatomical similarities with the brain, retinal abnormalities detected via optical coherence tomography (OCT) and OCT angiography (OCTA) have been studied as...

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Autores principales: Ibrahim, Yehia, Xie, Jianyang, Macerollo, Antonella, Sardone, Rodolfo, Shen, Yaochun, Romano, Vito, Zheng, Yalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657718/
https://www.ncbi.nlm.nih.gov/pubmed/38025800
http://dx.doi.org/10.3233/ADR-230042
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author Ibrahim, Yehia
Xie, Jianyang
Macerollo, Antonella
Sardone, Rodolfo
Shen, Yaochun
Romano, Vito
Zheng, Yalin
author_facet Ibrahim, Yehia
Xie, Jianyang
Macerollo, Antonella
Sardone, Rodolfo
Shen, Yaochun
Romano, Vito
Zheng, Yalin
author_sort Ibrahim, Yehia
collection PubMed
description BACKGROUND: Traditional methods for diagnosing dementia are costly, time-consuming, and somewhat invasive. Since the retina shares significant anatomical similarities with the brain, retinal abnormalities detected via optical coherence tomography (OCT) and OCT angiography (OCTA) have been studied as a potential non-invasive diagnostic tool for neurodegenerative disorders; however, the most effective retinal changes remain a mystery to be unraveled in this review. OBJECTIVE: This study aims to explore the relationship between retinal abnormalities in OCT/OCTA images and cognitive decline as well as evaluating biomarkers’ effectiveness in detecting neurodegenerative diseases. METHODS: A systematic search was conducted on PubMed, Web of Science, and Scopus until December 2022, resulted in 64 papers using agreed search keywords, and inclusion/exclusion criteria. RESULTS: The superior peripapillary retinal nerve fiber layer (pRNFL) is a trustworthy biomarker to identify most Alzheimer’s disease (AD) cases; however, it is inefficient when dealing with mild AD and mild cognitive impairment (MCI). The global pRNFL (pRNFL-G) is another reliable biomarker to discriminate frontotemporal dementia from mild AD and healthy controls (HCs), moderate AD and MCI from HCs, as well as identifing pathological Aβ(42)/tau in cognitively healthy individuals. Conversely, pRNFL-G fails to realize mild AD and the progression of AD. The average pRNFL thickness variation is considered a viable biomarker to monitor the progression of AD. Finally, the superior and average pRNFL thicknesses are considered consistent for advanced AD but not for early/mild AD. CONCLUSIONS: Retinal changes may indicate dementia, but further research is needed to confirm the most effective biomarkers for early and mild AD.
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spelling pubmed-106577182023-11-01 A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images Ibrahim, Yehia Xie, Jianyang Macerollo, Antonella Sardone, Rodolfo Shen, Yaochun Romano, Vito Zheng, Yalin J Alzheimers Dis Rep Systematic Review BACKGROUND: Traditional methods for diagnosing dementia are costly, time-consuming, and somewhat invasive. Since the retina shares significant anatomical similarities with the brain, retinal abnormalities detected via optical coherence tomography (OCT) and OCT angiography (OCTA) have been studied as a potential non-invasive diagnostic tool for neurodegenerative disorders; however, the most effective retinal changes remain a mystery to be unraveled in this review. OBJECTIVE: This study aims to explore the relationship between retinal abnormalities in OCT/OCTA images and cognitive decline as well as evaluating biomarkers’ effectiveness in detecting neurodegenerative diseases. METHODS: A systematic search was conducted on PubMed, Web of Science, and Scopus until December 2022, resulted in 64 papers using agreed search keywords, and inclusion/exclusion criteria. RESULTS: The superior peripapillary retinal nerve fiber layer (pRNFL) is a trustworthy biomarker to identify most Alzheimer’s disease (AD) cases; however, it is inefficient when dealing with mild AD and mild cognitive impairment (MCI). The global pRNFL (pRNFL-G) is another reliable biomarker to discriminate frontotemporal dementia from mild AD and healthy controls (HCs), moderate AD and MCI from HCs, as well as identifing pathological Aβ(42)/tau in cognitively healthy individuals. Conversely, pRNFL-G fails to realize mild AD and the progression of AD. The average pRNFL thickness variation is considered a viable biomarker to monitor the progression of AD. Finally, the superior and average pRNFL thicknesses are considered consistent for advanced AD but not for early/mild AD. CONCLUSIONS: Retinal changes may indicate dementia, but further research is needed to confirm the most effective biomarkers for early and mild AD. IOS Press 2023-11-01 /pmc/articles/PMC10657718/ /pubmed/38025800 http://dx.doi.org/10.3233/ADR-230042 Text en © 2023 – The authors. Published by IOS Press https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) License (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Systematic Review
Ibrahim, Yehia
Xie, Jianyang
Macerollo, Antonella
Sardone, Rodolfo
Shen, Yaochun
Romano, Vito
Zheng, Yalin
A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images
title A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images
title_full A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images
title_fullStr A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images
title_full_unstemmed A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images
title_short A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images
title_sort systematic review on retinal biomarkers to diagnose dementia from oct/octa images
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657718/
https://www.ncbi.nlm.nih.gov/pubmed/38025800
http://dx.doi.org/10.3233/ADR-230042
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