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Comparative analysis of core and perfusion lesion volumes between commercially available computed tomography perfusion software

INTRODUCTION: Computed tomography perfusion (CTP) imaging has become an important tool in evaluating acute recanalization treatment candidates. Large clinical trials have successfully used RAPID automated imaging analysis software for quantifying ischemic core and penumbra, yet other commercially av...

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Autores principales: Suomalainen, Olli P, Martinez-Majander, Nicolas, Sibolt, Gerli, Bäcklund, Katariina, Järveläinen, Juha, Korvenoja, Antti, Tiainen, Marjaana, Forss, Nina, Curtze, Sami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069177/
https://www.ncbi.nlm.nih.gov/pubmed/37021148
http://dx.doi.org/10.1177/23969873221135915
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author Suomalainen, Olli P
Martinez-Majander, Nicolas
Sibolt, Gerli
Bäcklund, Katariina
Järveläinen, Juha
Korvenoja, Antti
Tiainen, Marjaana
Forss, Nina
Curtze, Sami
author_facet Suomalainen, Olli P
Martinez-Majander, Nicolas
Sibolt, Gerli
Bäcklund, Katariina
Järveläinen, Juha
Korvenoja, Antti
Tiainen, Marjaana
Forss, Nina
Curtze, Sami
author_sort Suomalainen, Olli P
collection PubMed
description INTRODUCTION: Computed tomography perfusion (CTP) imaging has become an important tool in evaluating acute recanalization treatment candidates. Large clinical trials have successfully used RAPID automated imaging analysis software for quantifying ischemic core and penumbra, yet other commercially available software vendors are also on the market. We evaluated the possible difference in ischemic core and perfusion lesion volumes and the agreement rate of target mismatch between OLEA, MIStar, and Syngo.Via versus RAPID software in acute recanalization treatment candidates. PATIENTS AND METHODS: All consecutive stroke-code patients with baseline CTP RAPID imaging at Helsinki University Hospital during 8/2018–9/2021 were included. Ischemic core was defined as cerebral blood flow <30% than the contralateral hemisphere and within the area of delay time (DT) >3s with MIStar. Perfusion lesion volume was defined as DT > 3 s (MIStar) and T(max) > 6 s with all other software. A perfusion mismatch ratio of ⩾1.8, a perfusion lesion volume of ⩾15 mL, and ischemic core <70 mL was defined as target mismatch. The mean pairwise differences of the core and perfusion lesion volumes between software were calculated using the Bland-Altman method and the agreement of target mismatch between software using the Pearson correlation. RESULTS: A total of 1606 patients had RAPID perfusion maps, 1222 of which had MIStar, 596 patients had OLEA, and 349 patients had Syngo.Via perfusion maps available. Each software was compared with simultaneously analyzed RAPID software. MIStar showed the smallest core difference compared with RAPID (−2 mL, confidence interval (CI) from −26 to 22), followed by OLEA (2 mL, CI from −33 to 38). Perfusion lesion volume differed least with MIStar (4 mL, CI from −62 to 71) in comparison with RAPID, followed by Syngo.Via (6 mL, CI from −94 to 106). MIStar had the best agreement rate with target mismatch of RAPID followed by OLEA and Syngo.Via. DISCUSSION AND CONCLUSION: Comparison of RAPID with three other automated imaging analysis software showed variance in ischemic core and perfusion lesion volumes and in target mismatch.
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spelling pubmed-100691772023-04-04 Comparative analysis of core and perfusion lesion volumes between commercially available computed tomography perfusion software Suomalainen, Olli P Martinez-Majander, Nicolas Sibolt, Gerli Bäcklund, Katariina Järveläinen, Juha Korvenoja, Antti Tiainen, Marjaana Forss, Nina Curtze, Sami Eur Stroke J Original Research Articles INTRODUCTION: Computed tomography perfusion (CTP) imaging has become an important tool in evaluating acute recanalization treatment candidates. Large clinical trials have successfully used RAPID automated imaging analysis software for quantifying ischemic core and penumbra, yet other commercially available software vendors are also on the market. We evaluated the possible difference in ischemic core and perfusion lesion volumes and the agreement rate of target mismatch between OLEA, MIStar, and Syngo.Via versus RAPID software in acute recanalization treatment candidates. PATIENTS AND METHODS: All consecutive stroke-code patients with baseline CTP RAPID imaging at Helsinki University Hospital during 8/2018–9/2021 were included. Ischemic core was defined as cerebral blood flow <30% than the contralateral hemisphere and within the area of delay time (DT) >3s with MIStar. Perfusion lesion volume was defined as DT > 3 s (MIStar) and T(max) > 6 s with all other software. A perfusion mismatch ratio of ⩾1.8, a perfusion lesion volume of ⩾15 mL, and ischemic core <70 mL was defined as target mismatch. The mean pairwise differences of the core and perfusion lesion volumes between software were calculated using the Bland-Altman method and the agreement of target mismatch between software using the Pearson correlation. RESULTS: A total of 1606 patients had RAPID perfusion maps, 1222 of which had MIStar, 596 patients had OLEA, and 349 patients had Syngo.Via perfusion maps available. Each software was compared with simultaneously analyzed RAPID software. MIStar showed the smallest core difference compared with RAPID (−2 mL, confidence interval (CI) from −26 to 22), followed by OLEA (2 mL, CI from −33 to 38). Perfusion lesion volume differed least with MIStar (4 mL, CI from −62 to 71) in comparison with RAPID, followed by Syngo.Via (6 mL, CI from −94 to 106). MIStar had the best agreement rate with target mismatch of RAPID followed by OLEA and Syngo.Via. DISCUSSION AND CONCLUSION: Comparison of RAPID with three other automated imaging analysis software showed variance in ischemic core and perfusion lesion volumes and in target mismatch. SAGE Publications 2022-11-18 2023-03 /pmc/articles/PMC10069177/ /pubmed/37021148 http://dx.doi.org/10.1177/23969873221135915 Text en © European Stroke Organisation 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Articles
Suomalainen, Olli P
Martinez-Majander, Nicolas
Sibolt, Gerli
Bäcklund, Katariina
Järveläinen, Juha
Korvenoja, Antti
Tiainen, Marjaana
Forss, Nina
Curtze, Sami
Comparative analysis of core and perfusion lesion volumes between commercially available computed tomography perfusion software
title Comparative analysis of core and perfusion lesion volumes between commercially available computed tomography perfusion software
title_full Comparative analysis of core and perfusion lesion volumes between commercially available computed tomography perfusion software
title_fullStr Comparative analysis of core and perfusion lesion volumes between commercially available computed tomography perfusion software
title_full_unstemmed Comparative analysis of core and perfusion lesion volumes between commercially available computed tomography perfusion software
title_short Comparative analysis of core and perfusion lesion volumes between commercially available computed tomography perfusion software
title_sort comparative analysis of core and perfusion lesion volumes between commercially available computed tomography perfusion software
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069177/
https://www.ncbi.nlm.nih.gov/pubmed/37021148
http://dx.doi.org/10.1177/23969873221135915
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