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The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach
The Massachusetts General Hospital Neuroradiology Division employed an experience and evidence based approach to develop a neuroimaging algorithm to best select patients with severe ischemic strokes caused by anterior circulation occlusions (ACOs) for intravenous tissue plasminogen activator and end...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3623036/ https://www.ncbi.nlm.nih.gov/pubmed/23493340 http://dx.doi.org/10.1136/neurintsurg-2013-010715 |
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author | González, Ramon Gilberto Copen, William A Schaefer, Pamela W Lev, Michael H Pomerantz, Stuart R Rapalino, Otto Chen, John W Hunter, George J Romero, Javier M Buchbinder, Bradley R Larvie, Mykol Hirsch, Joshua Adam Gupta, Rajiv |
author_facet | González, Ramon Gilberto Copen, William A Schaefer, Pamela W Lev, Michael H Pomerantz, Stuart R Rapalino, Otto Chen, John W Hunter, George J Romero, Javier M Buchbinder, Bradley R Larvie, Mykol Hirsch, Joshua Adam Gupta, Rajiv |
author_sort | González, Ramon Gilberto |
collection | PubMed |
description | The Massachusetts General Hospital Neuroradiology Division employed an experience and evidence based approach to develop a neuroimaging algorithm to best select patients with severe ischemic strokes caused by anterior circulation occlusions (ACOs) for intravenous tissue plasminogen activator and endovascular treatment. Methods found to be of value included the National Institutes of Health Stroke Scale (NIHSS), non-contrast CT, CT angiography (CTA) and diffusion MRI. Perfusion imaging by CT and MRI were found to be unnecessary for safe and effective triage of patients with severe ACOs. An algorithm was adopted that includes: non-contrast CT to identify hemorrhage and large hypodensity followed by CTA to identify the ACO; diffusion MRI to estimate the core infarct; and NIHSS in conjunction with diffusion data to estimate the clinical penumbra. |
format | Online Article Text |
id | pubmed-3623036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-36230362013-04-11 The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach González, Ramon Gilberto Copen, William A Schaefer, Pamela W Lev, Michael H Pomerantz, Stuart R Rapalino, Otto Chen, John W Hunter, George J Romero, Javier M Buchbinder, Bradley R Larvie, Mykol Hirsch, Joshua Adam Gupta, Rajiv J Neurointerv Surg Review The Massachusetts General Hospital Neuroradiology Division employed an experience and evidence based approach to develop a neuroimaging algorithm to best select patients with severe ischemic strokes caused by anterior circulation occlusions (ACOs) for intravenous tissue plasminogen activator and endovascular treatment. Methods found to be of value included the National Institutes of Health Stroke Scale (NIHSS), non-contrast CT, CT angiography (CTA) and diffusion MRI. Perfusion imaging by CT and MRI were found to be unnecessary for safe and effective triage of patients with severe ACOs. An algorithm was adopted that includes: non-contrast CT to identify hemorrhage and large hypodensity followed by CTA to identify the ACO; diffusion MRI to estimate the core infarct; and NIHSS in conjunction with diffusion data to estimate the clinical penumbra. BMJ Publishing Group 2013-05 2013-03-14 /pmc/articles/PMC3623036/ /pubmed/23493340 http://dx.doi.org/10.1136/neurintsurg-2013-010715 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode |
spellingShingle | Review González, Ramon Gilberto Copen, William A Schaefer, Pamela W Lev, Michael H Pomerantz, Stuart R Rapalino, Otto Chen, John W Hunter, George J Romero, Javier M Buchbinder, Bradley R Larvie, Mykol Hirsch, Joshua Adam Gupta, Rajiv The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach |
title | The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach |
title_full | The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach |
title_fullStr | The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach |
title_full_unstemmed | The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach |
title_short | The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach |
title_sort | massachusetts general hospital acute stroke imaging algorithm: an experience and evidence based approach |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3623036/ https://www.ncbi.nlm.nih.gov/pubmed/23493340 http://dx.doi.org/10.1136/neurintsurg-2013-010715 |
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