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Computational methods for visualizing and measuring verapamil efficacy for cerebral vasospasm
Cerebral vasospasm is a dreaded sequelae of aneurysmal subarachnoid hemorrhage (aSAH), requiring timely intervention with therapeutic goals of improving brain perfusion. There are currently no standardized real-time, objective assessments of the interventional procedures performed to treat vasospasm...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606481/ https://www.ncbi.nlm.nih.gov/pubmed/33139791 http://dx.doi.org/10.1038/s41598-020-75365-2 |
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author | Abumoussa, Andrew Flores, Alex Ho, James Niethammer, Marc Sasaki-Adams, Deanna Lee, Yueh Z. |
author_facet | Abumoussa, Andrew Flores, Alex Ho, James Niethammer, Marc Sasaki-Adams, Deanna Lee, Yueh Z. |
author_sort | Abumoussa, Andrew |
collection | PubMed |
description | Cerebral vasospasm is a dreaded sequelae of aneurysmal subarachnoid hemorrhage (aSAH), requiring timely intervention with therapeutic goals of improving brain perfusion. There are currently no standardized real-time, objective assessments of the interventional procedures performed to treat vasospasm. Here we describe real-time techniques to quantify cerebral perfusion during interventional cerebral angiography. We retrospectively analyzed 39 consecutive cases performed to treat clinical vasospasm and quantified the changes in perfusion metrics between pre- and post- verapamil administrations. With Digital Subtraction Angiography (DSA) perfusion analysis, we are able to identify hypoperfused territories and quantify the exact changes in cerebral perfusion for each individual case and vascular territory. We demonstrate that perfusion analysis for DSA can be performed in real time. This provides clinicians with a colorized map which directly visualizes hypoperfused tissue, combined with associated perfusion statistics. Quantitative thresholds and analysis based on DSA perfusion may assist with real-time dosage estimation and help predict response to treatment, however future prospective analysis is required for validation. |
format | Online Article Text |
id | pubmed-7606481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76064812020-11-03 Computational methods for visualizing and measuring verapamil efficacy for cerebral vasospasm Abumoussa, Andrew Flores, Alex Ho, James Niethammer, Marc Sasaki-Adams, Deanna Lee, Yueh Z. Sci Rep Article Cerebral vasospasm is a dreaded sequelae of aneurysmal subarachnoid hemorrhage (aSAH), requiring timely intervention with therapeutic goals of improving brain perfusion. There are currently no standardized real-time, objective assessments of the interventional procedures performed to treat vasospasm. Here we describe real-time techniques to quantify cerebral perfusion during interventional cerebral angiography. We retrospectively analyzed 39 consecutive cases performed to treat clinical vasospasm and quantified the changes in perfusion metrics between pre- and post- verapamil administrations. With Digital Subtraction Angiography (DSA) perfusion analysis, we are able to identify hypoperfused territories and quantify the exact changes in cerebral perfusion for each individual case and vascular territory. We demonstrate that perfusion analysis for DSA can be performed in real time. This provides clinicians with a colorized map which directly visualizes hypoperfused tissue, combined with associated perfusion statistics. Quantitative thresholds and analysis based on DSA perfusion may assist with real-time dosage estimation and help predict response to treatment, however future prospective analysis is required for validation. Nature Publishing Group UK 2020-11-02 /pmc/articles/PMC7606481/ /pubmed/33139791 http://dx.doi.org/10.1038/s41598-020-75365-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Abumoussa, Andrew Flores, Alex Ho, James Niethammer, Marc Sasaki-Adams, Deanna Lee, Yueh Z. Computational methods for visualizing and measuring verapamil efficacy for cerebral vasospasm |
title | Computational methods for visualizing and measuring verapamil efficacy for cerebral vasospasm |
title_full | Computational methods for visualizing and measuring verapamil efficacy for cerebral vasospasm |
title_fullStr | Computational methods for visualizing and measuring verapamil efficacy for cerebral vasospasm |
title_full_unstemmed | Computational methods for visualizing and measuring verapamil efficacy for cerebral vasospasm |
title_short | Computational methods for visualizing and measuring verapamil efficacy for cerebral vasospasm |
title_sort | computational methods for visualizing and measuring verapamil efficacy for cerebral vasospasm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606481/ https://www.ncbi.nlm.nih.gov/pubmed/33139791 http://dx.doi.org/10.1038/s41598-020-75365-2 |
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