Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Abumoussa, Andrew, Flores, Alex, Ho, James, Niethammer, Marc, Sasaki-Adams, Deanna, Lee, Yueh Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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
_version_ 1783604490281156608
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
work_keys_str_mv AT abumoussaandrew computationalmethodsforvisualizingandmeasuringverapamilefficacyforcerebralvasospasm
AT floresalex computationalmethodsforvisualizingandmeasuringverapamilefficacyforcerebralvasospasm
AT hojames computationalmethodsforvisualizingandmeasuringverapamilefficacyforcerebralvasospasm
AT niethammermarc computationalmethodsforvisualizingandmeasuringverapamilefficacyforcerebralvasospasm
AT sasakiadamsdeanna computationalmethodsforvisualizingandmeasuringverapamilefficacyforcerebralvasospasm
AT leeyuehz computationalmethodsforvisualizingandmeasuringverapamilefficacyforcerebralvasospasm