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Imaging Acute Stroke: From One-Size-Fit-All to Biomarkers
In acute stroke management, time window has been rigidly used as a guide for decades and the reperfusion treatment is only available in the first few limited hours. Recently, imaging-based selection of patients has successfully expanded the treatment window out to 16 and even 24 h in the DEFUSE 3 an...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497192/ https://www.ncbi.nlm.nih.gov/pubmed/34630278 http://dx.doi.org/10.3389/fneur.2021.697779 |
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author | Lu, Jianfei Mei, Qiyong Hou, Xianhua Manaenko, Anatol Zhou, Lili Liebeskind, David S. Zhang, John H. Li, Yao Hu, Qin |
author_facet | Lu, Jianfei Mei, Qiyong Hou, Xianhua Manaenko, Anatol Zhou, Lili Liebeskind, David S. Zhang, John H. Li, Yao Hu, Qin |
author_sort | Lu, Jianfei |
collection | PubMed |
description | In acute stroke management, time window has been rigidly used as a guide for decades and the reperfusion treatment is only available in the first few limited hours. Recently, imaging-based selection of patients has successfully expanded the treatment window out to 16 and even 24 h in the DEFUSE 3 and DAWN trials, respectively. Recent guidelines recommend the use of imaging techniques to guide therapeutic decision-making and expanded eligibility in acute ischemic stroke. A tissue window is proposed to replace the time window and serve as the surrogate marker for potentially salvageable tissue. This article reviews the evolution of time window, addresses the advantage of a tissue window in precision medicine for ischemic stroke, and discusses both the established and emerging techniques of neuroimaging and their roles in defining a tissue window. We also emphasize the metabolic imaging and molecular imaging of brain pathophysiology, and highlight its potential in patient selection and treatment response prediction in ischemic stroke. |
format | Online Article Text |
id | pubmed-8497192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84971922021-10-09 Imaging Acute Stroke: From One-Size-Fit-All to Biomarkers Lu, Jianfei Mei, Qiyong Hou, Xianhua Manaenko, Anatol Zhou, Lili Liebeskind, David S. Zhang, John H. Li, Yao Hu, Qin Front Neurol Neurology In acute stroke management, time window has been rigidly used as a guide for decades and the reperfusion treatment is only available in the first few limited hours. Recently, imaging-based selection of patients has successfully expanded the treatment window out to 16 and even 24 h in the DEFUSE 3 and DAWN trials, respectively. Recent guidelines recommend the use of imaging techniques to guide therapeutic decision-making and expanded eligibility in acute ischemic stroke. A tissue window is proposed to replace the time window and serve as the surrogate marker for potentially salvageable tissue. This article reviews the evolution of time window, addresses the advantage of a tissue window in precision medicine for ischemic stroke, and discusses both the established and emerging techniques of neuroimaging and their roles in defining a tissue window. We also emphasize the metabolic imaging and molecular imaging of brain pathophysiology, and highlight its potential in patient selection and treatment response prediction in ischemic stroke. Frontiers Media S.A. 2021-09-23 /pmc/articles/PMC8497192/ /pubmed/34630278 http://dx.doi.org/10.3389/fneur.2021.697779 Text en Copyright © 2021 Lu, Mei, Hou, Manaenko, Zhou, Liebeskind, Zhang, Li and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Lu, Jianfei Mei, Qiyong Hou, Xianhua Manaenko, Anatol Zhou, Lili Liebeskind, David S. Zhang, John H. Li, Yao Hu, Qin Imaging Acute Stroke: From One-Size-Fit-All to Biomarkers |
title | Imaging Acute Stroke: From One-Size-Fit-All to Biomarkers |
title_full | Imaging Acute Stroke: From One-Size-Fit-All to Biomarkers |
title_fullStr | Imaging Acute Stroke: From One-Size-Fit-All to Biomarkers |
title_full_unstemmed | Imaging Acute Stroke: From One-Size-Fit-All to Biomarkers |
title_short | Imaging Acute Stroke: From One-Size-Fit-All to Biomarkers |
title_sort | imaging acute stroke: from one-size-fit-all to biomarkers |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497192/ https://www.ncbi.nlm.nih.gov/pubmed/34630278 http://dx.doi.org/10.3389/fneur.2021.697779 |
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