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MRI software for diffusion-perfusion mismatch analysis may impact on patients’ selection and clinical outcome

OBJECTIVE: Impact of different MR perfusion software on selection and outcome of patients with acute ischemic stroke (AIS) and large vessel occlusion (LVO) treated by endovascular thrombectomy (EVT) is unclear. We aimed at comparing two commercial MRI software, semi-automated with unadjusted (method...

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Autores principales: Pistocchi, Silvia, Strambo, Davide, Bartolini, Bruno, Maeder, Philippe, Meuli, Reto, Michel, Patrik, Dunet, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794935/
https://www.ncbi.nlm.nih.gov/pubmed/34350507
http://dx.doi.org/10.1007/s00330-021-08211-2
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author Pistocchi, Silvia
Strambo, Davide
Bartolini, Bruno
Maeder, Philippe
Meuli, Reto
Michel, Patrik
Dunet, Vincent
author_facet Pistocchi, Silvia
Strambo, Davide
Bartolini, Bruno
Maeder, Philippe
Meuli, Reto
Michel, Patrik
Dunet, Vincent
author_sort Pistocchi, Silvia
collection PubMed
description OBJECTIVE: Impact of different MR perfusion software on selection and outcome of patients with acute ischemic stroke (AIS) and large vessel occlusion (LVO) treated by endovascular thrombectomy (EVT) is unclear. We aimed at comparing two commercial MRI software, semi-automated with unadjusted (method A) and adjusted mask (method B), and fully automated (method C) in this setting. METHODS: MRI from 144 consecutive AIS patients with anterior circulation LVO was retrospectively analysed. All diffusion- and perfusion-weighted images (DWI-PWI) were post-processed with the three methods using standard thresholds. Concordance for core and hypoperfusion volumes was assessed with Lin’s test. Clinical outcome was compared between groups in patients who underwent successful EVT in the early and late time window. RESULTS: Mean core volume was higher and mean hypoperfusion volume was lower in method C than in methods A and B. In the early time window, methods A and B found fewer patients with a mismatch ratio ≤ 1.2 than method C (1/67 [1.5%] vs. 12/67 [17.9%], p = 0.0013). In the late time window, methods A and B found fewer patients with a mismatch ratio < 1.8 than method C (3/46 [6.5%] and 2/46 [4.3%] vs. 18/46 [39.1%], p ≤ 0.0002). More patients with functional independence at 3 months would not have been treated using method C versus methods A and B in the early (p = 0.0063) and late (p ≤ 0.011) time window. CONCLUSIONS: MRI software for DWI-PWI analysis may influence patients’ selection before EVT and clinical outcome. KEY POINTS: • Method C detects fewer patients with favourable mismatch profile. • Method C might underselect more patients with functional independence at 3 months. • Software used before thrombectomy may influence patients’ outcome.
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spelling pubmed-87949352022-02-02 MRI software for diffusion-perfusion mismatch analysis may impact on patients’ selection and clinical outcome Pistocchi, Silvia Strambo, Davide Bartolini, Bruno Maeder, Philippe Meuli, Reto Michel, Patrik Dunet, Vincent Eur Radiol Neuro OBJECTIVE: Impact of different MR perfusion software on selection and outcome of patients with acute ischemic stroke (AIS) and large vessel occlusion (LVO) treated by endovascular thrombectomy (EVT) is unclear. We aimed at comparing two commercial MRI software, semi-automated with unadjusted (method A) and adjusted mask (method B), and fully automated (method C) in this setting. METHODS: MRI from 144 consecutive AIS patients with anterior circulation LVO was retrospectively analysed. All diffusion- and perfusion-weighted images (DWI-PWI) were post-processed with the three methods using standard thresholds. Concordance for core and hypoperfusion volumes was assessed with Lin’s test. Clinical outcome was compared between groups in patients who underwent successful EVT in the early and late time window. RESULTS: Mean core volume was higher and mean hypoperfusion volume was lower in method C than in methods A and B. In the early time window, methods A and B found fewer patients with a mismatch ratio ≤ 1.2 than method C (1/67 [1.5%] vs. 12/67 [17.9%], p = 0.0013). In the late time window, methods A and B found fewer patients with a mismatch ratio < 1.8 than method C (3/46 [6.5%] and 2/46 [4.3%] vs. 18/46 [39.1%], p ≤ 0.0002). More patients with functional independence at 3 months would not have been treated using method C versus methods A and B in the early (p = 0.0063) and late (p ≤ 0.011) time window. CONCLUSIONS: MRI software for DWI-PWI analysis may influence patients’ selection before EVT and clinical outcome. KEY POINTS: • Method C detects fewer patients with favourable mismatch profile. • Method C might underselect more patients with functional independence at 3 months. • Software used before thrombectomy may influence patients’ outcome. Springer Berlin Heidelberg 2021-08-05 2022 /pmc/articles/PMC8794935/ /pubmed/34350507 http://dx.doi.org/10.1007/s00330-021-08211-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Neuro
Pistocchi, Silvia
Strambo, Davide
Bartolini, Bruno
Maeder, Philippe
Meuli, Reto
Michel, Patrik
Dunet, Vincent
MRI software for diffusion-perfusion mismatch analysis may impact on patients’ selection and clinical outcome
title MRI software for diffusion-perfusion mismatch analysis may impact on patients’ selection and clinical outcome
title_full MRI software for diffusion-perfusion mismatch analysis may impact on patients’ selection and clinical outcome
title_fullStr MRI software for diffusion-perfusion mismatch analysis may impact on patients’ selection and clinical outcome
title_full_unstemmed MRI software for diffusion-perfusion mismatch analysis may impact on patients’ selection and clinical outcome
title_short MRI software for diffusion-perfusion mismatch analysis may impact on patients’ selection and clinical outcome
title_sort mri software for diffusion-perfusion mismatch analysis may impact on patients’ selection and clinical outcome
topic Neuro
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794935/
https://www.ncbi.nlm.nih.gov/pubmed/34350507
http://dx.doi.org/10.1007/s00330-021-08211-2
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