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The Application of Software “Rapid Processing of Perfusion and Diffusion” in Acute Ischemic Stroke
In the event of an acute ischemic stroke, saving the penumbra is the most important aspect of early treatment. The rapid and accurate identification of ischemic penumbra plays a key role in its comprehensive treatment. At present, the identification method and evaluation standard of ischemic penumbr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688896/ https://www.ncbi.nlm.nih.gov/pubmed/36358379 http://dx.doi.org/10.3390/brainsci12111451 |
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author | Zhang, Yudi Song, Shuang Li, Zhenzhong Huang, Boyuan Geng, Yanlu Zhang, Lihong |
author_facet | Zhang, Yudi Song, Shuang Li, Zhenzhong Huang, Boyuan Geng, Yanlu Zhang, Lihong |
author_sort | Zhang, Yudi |
collection | PubMed |
description | In the event of an acute ischemic stroke, saving the penumbra is the most important aspect of early treatment. The rapid and accurate identification of ischemic penumbra plays a key role in its comprehensive treatment. At present, the identification method and evaluation standard of ischemic penumbra have not been unified. Numerous pieces of software identifying ischemic penumbra have been developed, such as rapid processing of perfusion and diffusion (RAPID), Sphere, Vitrea, and computed tomography perfusion+ (CTP+). The RAPID software, analyzing and integrating multi-mode image data (mainly based on perfusion weighted imaging (PWI) or computed tomography perfusion (CTP) images, shows good performance in identifying ischemic penumbra and has been utilized for the assessment of ischemic penumbra in many ischemic stroke clinical studies, achieving good outcomes and promoting the transition from “time window” to “tissue window” in the treatment of early stage AIS. To obtain a comprehensive understanding of the RAPID software and its accuracy in evaluating ischemic penumbra, this paper reviews the background and development of the RAPID software, summarizes the published acute cerebral infarction trials using the RAPID software, generalizes the threshold parameters in different time windows, and further discusses its application and limitations. |
format | Online Article Text |
id | pubmed-9688896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96888962022-11-25 The Application of Software “Rapid Processing of Perfusion and Diffusion” in Acute Ischemic Stroke Zhang, Yudi Song, Shuang Li, Zhenzhong Huang, Boyuan Geng, Yanlu Zhang, Lihong Brain Sci Perspective In the event of an acute ischemic stroke, saving the penumbra is the most important aspect of early treatment. The rapid and accurate identification of ischemic penumbra plays a key role in its comprehensive treatment. At present, the identification method and evaluation standard of ischemic penumbra have not been unified. Numerous pieces of software identifying ischemic penumbra have been developed, such as rapid processing of perfusion and diffusion (RAPID), Sphere, Vitrea, and computed tomography perfusion+ (CTP+). The RAPID software, analyzing and integrating multi-mode image data (mainly based on perfusion weighted imaging (PWI) or computed tomography perfusion (CTP) images, shows good performance in identifying ischemic penumbra and has been utilized for the assessment of ischemic penumbra in many ischemic stroke clinical studies, achieving good outcomes and promoting the transition from “time window” to “tissue window” in the treatment of early stage AIS. To obtain a comprehensive understanding of the RAPID software and its accuracy in evaluating ischemic penumbra, this paper reviews the background and development of the RAPID software, summarizes the published acute cerebral infarction trials using the RAPID software, generalizes the threshold parameters in different time windows, and further discusses its application and limitations. MDPI 2022-10-27 /pmc/articles/PMC9688896/ /pubmed/36358379 http://dx.doi.org/10.3390/brainsci12111451 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Perspective Zhang, Yudi Song, Shuang Li, Zhenzhong Huang, Boyuan Geng, Yanlu Zhang, Lihong The Application of Software “Rapid Processing of Perfusion and Diffusion” in Acute Ischemic Stroke |
title | The Application of Software “Rapid Processing of Perfusion and Diffusion” in Acute Ischemic Stroke |
title_full | The Application of Software “Rapid Processing of Perfusion and Diffusion” in Acute Ischemic Stroke |
title_fullStr | The Application of Software “Rapid Processing of Perfusion and Diffusion” in Acute Ischemic Stroke |
title_full_unstemmed | The Application of Software “Rapid Processing of Perfusion and Diffusion” in Acute Ischemic Stroke |
title_short | The Application of Software “Rapid Processing of Perfusion and Diffusion” in Acute Ischemic Stroke |
title_sort | application of software “rapid processing of perfusion and diffusion” in acute ischemic stroke |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688896/ https://www.ncbi.nlm.nih.gov/pubmed/36358379 http://dx.doi.org/10.3390/brainsci12111451 |
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