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Simulation of superselective catheterization for cerebrovascular lesions using a virtual injection software

BACKGROUND: This report addresses the feasibility of virtual injection software based on contrast-enhanced cone-beam CTs (CBCTs) in the context of cerebrovascular lesion embolization. Intracranial arteriovenous malformation (AVM), dural arteriovenous fistula (AVF) and mycotic aneurysm embolization c...

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Autores principales: Sundararajan, Sri Hari, Ranganathan, Srirajkumar, Kishore, Vaishnavi, Doustaly, Raphael, Patsalides, Athos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203774/
https://www.ncbi.nlm.nih.gov/pubmed/34125300
http://dx.doi.org/10.1186/s42155-021-00242-6
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author Sundararajan, Sri Hari
Ranganathan, Srirajkumar
Kishore, Vaishnavi
Doustaly, Raphael
Patsalides, Athos
author_facet Sundararajan, Sri Hari
Ranganathan, Srirajkumar
Kishore, Vaishnavi
Doustaly, Raphael
Patsalides, Athos
author_sort Sundararajan, Sri Hari
collection PubMed
description BACKGROUND: This report addresses the feasibility of virtual injection software based on contrast-enhanced cone-beam CTs (CBCTs) in the context of cerebrovascular lesion embolization. Intracranial arteriovenous malformation (AVM), dural arteriovenous fistula (AVF) and mycotic aneurysm embolization cases with CBCTs performed between 2013 and 2020 were retrospectively reviewed. Cerebrovascular lesions were reviewed by 2 neurointerventionalists using a dedicated virtual injection software (EmboASSIST, GE Healthcare; Chicago, IL). Points of Interest (POIs) surrounding the vascular lesions were first identified. The software then automatically displayed POI-associated vascular traces from vessel roots to selected POIs. Vascular segments and reason for POI identification were recorded. Using 2D multiplanar reconstructions from CBCTs, the accuracy of vascular traces was assessed. Clinical utility metrics were recorded on a 3-point Likert scale from 1 (no benefit) to 3 (very beneficial). RESULTS: Nine cases (7 AVM, 1 AVF, 1 mycotic aneurysm) were reviewed, with 26 POIs selected. Three POIs were in 2nd order segments, 8 POIs in 3rd order segments and 15 POIs in 4th order segments of their respective arteries. The reviewers rated all 26 POI traces – involving a total of 90 vascular segments – as accurate. The average utility score across the 8 questions were 2.7 and 2.8 respectively from each reviewer, acknowledging the software’s potential benefit in cerebrovascular embolization procedural planning. CONCLUSION: The operators considered CBCT-based virtual injection software clinically useful and accurate in guiding and planning cerebrovascular lesion embolization in this retrospective review. Future prospective studies in larger cohorts are warranted for validation of this modality.
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spelling pubmed-82037742021-07-01 Simulation of superselective catheterization for cerebrovascular lesions using a virtual injection software Sundararajan, Sri Hari Ranganathan, Srirajkumar Kishore, Vaishnavi Doustaly, Raphael Patsalides, Athos CVIR Endovasc Original Article BACKGROUND: This report addresses the feasibility of virtual injection software based on contrast-enhanced cone-beam CTs (CBCTs) in the context of cerebrovascular lesion embolization. Intracranial arteriovenous malformation (AVM), dural arteriovenous fistula (AVF) and mycotic aneurysm embolization cases with CBCTs performed between 2013 and 2020 were retrospectively reviewed. Cerebrovascular lesions were reviewed by 2 neurointerventionalists using a dedicated virtual injection software (EmboASSIST, GE Healthcare; Chicago, IL). Points of Interest (POIs) surrounding the vascular lesions were first identified. The software then automatically displayed POI-associated vascular traces from vessel roots to selected POIs. Vascular segments and reason for POI identification were recorded. Using 2D multiplanar reconstructions from CBCTs, the accuracy of vascular traces was assessed. Clinical utility metrics were recorded on a 3-point Likert scale from 1 (no benefit) to 3 (very beneficial). RESULTS: Nine cases (7 AVM, 1 AVF, 1 mycotic aneurysm) were reviewed, with 26 POIs selected. Three POIs were in 2nd order segments, 8 POIs in 3rd order segments and 15 POIs in 4th order segments of their respective arteries. The reviewers rated all 26 POI traces – involving a total of 90 vascular segments – as accurate. The average utility score across the 8 questions were 2.7 and 2.8 respectively from each reviewer, acknowledging the software’s potential benefit in cerebrovascular embolization procedural planning. CONCLUSION: The operators considered CBCT-based virtual injection software clinically useful and accurate in guiding and planning cerebrovascular lesion embolization in this retrospective review. Future prospective studies in larger cohorts are warranted for validation of this modality. Springer International Publishing 2021-06-14 /pmc/articles/PMC8203774/ /pubmed/34125300 http://dx.doi.org/10.1186/s42155-021-00242-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Sundararajan, Sri Hari
Ranganathan, Srirajkumar
Kishore, Vaishnavi
Doustaly, Raphael
Patsalides, Athos
Simulation of superselective catheterization for cerebrovascular lesions using a virtual injection software
title Simulation of superselective catheterization for cerebrovascular lesions using a virtual injection software
title_full Simulation of superselective catheterization for cerebrovascular lesions using a virtual injection software
title_fullStr Simulation of superselective catheterization for cerebrovascular lesions using a virtual injection software
title_full_unstemmed Simulation of superselective catheterization for cerebrovascular lesions using a virtual injection software
title_short Simulation of superselective catheterization for cerebrovascular lesions using a virtual injection software
title_sort simulation of superselective catheterization for cerebrovascular lesions using a virtual injection software
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203774/
https://www.ncbi.nlm.nih.gov/pubmed/34125300
http://dx.doi.org/10.1186/s42155-021-00242-6
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