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Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies
Cerebral small vessel disease (cSVD) has a crucial role in lacunar stroke and brain hemorrhages and is a leading cause of cognitive decline and functional loss in elderly patients. Based on underlying pathophysiology, cSVD can be subdivided into amyloidal and non-amyloidal subtypes. Genetic factors...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Stroke Society
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6186915/ https://www.ncbi.nlm.nih.gov/pubmed/30309226 http://dx.doi.org/10.5853/jos.2017.02922 |
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author | Cuadrado-Godia, Elisa Dwivedi, Pratistha Sharma, Sanjiv Ois Santiago, Angel Roquer Gonzalez, Jaume Balcells, Mercedes Laird, John Turk, Monika Suri, Harman S. Nicolaides, Andrew Saba, Luca Khanna, Narendra N. Suri, Jasjit S. |
author_facet | Cuadrado-Godia, Elisa Dwivedi, Pratistha Sharma, Sanjiv Ois Santiago, Angel Roquer Gonzalez, Jaume Balcells, Mercedes Laird, John Turk, Monika Suri, Harman S. Nicolaides, Andrew Saba, Luca Khanna, Narendra N. Suri, Jasjit S. |
author_sort | Cuadrado-Godia, Elisa |
collection | PubMed |
description | Cerebral small vessel disease (cSVD) has a crucial role in lacunar stroke and brain hemorrhages and is a leading cause of cognitive decline and functional loss in elderly patients. Based on underlying pathophysiology, cSVD can be subdivided into amyloidal and non-amyloidal subtypes. Genetic factors of cSVD play a pivotal role in terms of unraveling molecular mechanism. An important pathophysiological mechanism of cSVD is blood-brain barrier leakage and endothelium dysfunction which gives a clue in identification of the disease through circulating biological markers. Detection of cSVD is routinely carried out by key neuroimaging markers including white matter hyperintensities, lacunes, small subcortical infarcts, perivascular spaces, cerebral microbleeds, and brain atrophy. Application of neural networking, machine learning and deep learning in image processing have increased significantly for correct severity of cSVD. A linkage between cSVD and other neurological disorder, such as Alzheimer’s and Parkinson’s disease and non-cerebral disease, has also been investigated recently. This review draws a broad picture of cSVD, aiming to inculcate new insights into its pathogenesis and biomarkers. It also focuses on the role of deep machine strategies and other dimensions of cSVD by linking it with several cerebral and non-cerebral diseases as well as recent advances in the field to achieve sensitive detection, effective prevention and disease management. |
format | Online Article Text |
id | pubmed-6186915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Korean Stroke Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-61869152018-10-23 Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies Cuadrado-Godia, Elisa Dwivedi, Pratistha Sharma, Sanjiv Ois Santiago, Angel Roquer Gonzalez, Jaume Balcells, Mercedes Laird, John Turk, Monika Suri, Harman S. Nicolaides, Andrew Saba, Luca Khanna, Narendra N. Suri, Jasjit S. J Stroke Review Cerebral small vessel disease (cSVD) has a crucial role in lacunar stroke and brain hemorrhages and is a leading cause of cognitive decline and functional loss in elderly patients. Based on underlying pathophysiology, cSVD can be subdivided into amyloidal and non-amyloidal subtypes. Genetic factors of cSVD play a pivotal role in terms of unraveling molecular mechanism. An important pathophysiological mechanism of cSVD is blood-brain barrier leakage and endothelium dysfunction which gives a clue in identification of the disease through circulating biological markers. Detection of cSVD is routinely carried out by key neuroimaging markers including white matter hyperintensities, lacunes, small subcortical infarcts, perivascular spaces, cerebral microbleeds, and brain atrophy. Application of neural networking, machine learning and deep learning in image processing have increased significantly for correct severity of cSVD. A linkage between cSVD and other neurological disorder, such as Alzheimer’s and Parkinson’s disease and non-cerebral disease, has also been investigated recently. This review draws a broad picture of cSVD, aiming to inculcate new insights into its pathogenesis and biomarkers. It also focuses on the role of deep machine strategies and other dimensions of cSVD by linking it with several cerebral and non-cerebral diseases as well as recent advances in the field to achieve sensitive detection, effective prevention and disease management. Korean Stroke Society 2018-09 2018-09-30 /pmc/articles/PMC6186915/ /pubmed/30309226 http://dx.doi.org/10.5853/jos.2017.02922 Text en Copyright © 2018 Korean Stroke Society This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Cuadrado-Godia, Elisa Dwivedi, Pratistha Sharma, Sanjiv Ois Santiago, Angel Roquer Gonzalez, Jaume Balcells, Mercedes Laird, John Turk, Monika Suri, Harman S. Nicolaides, Andrew Saba, Luca Khanna, Narendra N. Suri, Jasjit S. Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies |
title | Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies |
title_full | Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies |
title_fullStr | Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies |
title_full_unstemmed | Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies |
title_short | Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies |
title_sort | cerebral small vessel disease: a review focusing on pathophysiology, biomarkers, and machine learning strategies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6186915/ https://www.ncbi.nlm.nih.gov/pubmed/30309226 http://dx.doi.org/10.5853/jos.2017.02922 |
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