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Evaluating effects of normobaric oxygen therapy in acute stroke with MRI-based predictive models

BACKGROUND: Voxel-based algorithms using acute multiparametric-MRI data have been shown to accurately predict tissue outcome after stroke. We explored the potential of MRI-based predictive algorithms to objectively assess the effects of normobaric oxygen therapy (NBO), an investigational stroke trea...

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Autores principales: Wu, Ona, Benner, Thomas, Roccatagliata, Luca, Zhu, Mingwang, Schaefer, Pamela W, Sorensen, Alma Gregory, Singhal, Aneesh B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3388462/
https://www.ncbi.nlm.nih.gov/pubmed/22404875
http://dx.doi.org/10.1186/2045-9912-2-5
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author Wu, Ona
Benner, Thomas
Roccatagliata, Luca
Zhu, Mingwang
Schaefer, Pamela W
Sorensen, Alma Gregory
Singhal, Aneesh B
author_facet Wu, Ona
Benner, Thomas
Roccatagliata, Luca
Zhu, Mingwang
Schaefer, Pamela W
Sorensen, Alma Gregory
Singhal, Aneesh B
author_sort Wu, Ona
collection PubMed
description BACKGROUND: Voxel-based algorithms using acute multiparametric-MRI data have been shown to accurately predict tissue outcome after stroke. We explored the potential of MRI-based predictive algorithms to objectively assess the effects of normobaric oxygen therapy (NBO), an investigational stroke treatment, using data from a pilot study of NBO in acute stroke. METHODS: The pilot study of NBO enrolled 11 patients randomized to NBO administered for 8 hours, and 8 Control patients who received room-air. Serial MRIs were obtained at admission, during gas therapy, post-therapy, and pre-discharge. Diffusion/perfusion MRI data acquired at admission (pre-therapy) was used in generalized linear models to predict the risk of lesion growth at subsequent time points for both treatment scenarios: NBO or Control. RESULTS: Lesion volume sizes 'during NBO therapy' predicted by Control-models were significantly larger (P = 0.007) than those predicted by NBO models, suggesting that ischemic lesion growth is attenuated during NBO treatment. No significant difference was found between the predicted lesion volumes at later time-points. NBO-treated patients, despite showing larger lesion volumes on Control-models than NBO-models, tended to have reduced lesion growth. CONCLUSIONS: This study shows that NBO has therapeutic potential in acute ischemic stroke, and demonstrates the feasibility of using MRI-based algorithms to evaluate novel treatments in early-phase clinical trials.
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spelling pubmed-33884622012-07-03 Evaluating effects of normobaric oxygen therapy in acute stroke with MRI-based predictive models Wu, Ona Benner, Thomas Roccatagliata, Luca Zhu, Mingwang Schaefer, Pamela W Sorensen, Alma Gregory Singhal, Aneesh B Med Gas Res Research BACKGROUND: Voxel-based algorithms using acute multiparametric-MRI data have been shown to accurately predict tissue outcome after stroke. We explored the potential of MRI-based predictive algorithms to objectively assess the effects of normobaric oxygen therapy (NBO), an investigational stroke treatment, using data from a pilot study of NBO in acute stroke. METHODS: The pilot study of NBO enrolled 11 patients randomized to NBO administered for 8 hours, and 8 Control patients who received room-air. Serial MRIs were obtained at admission, during gas therapy, post-therapy, and pre-discharge. Diffusion/perfusion MRI data acquired at admission (pre-therapy) was used in generalized linear models to predict the risk of lesion growth at subsequent time points for both treatment scenarios: NBO or Control. RESULTS: Lesion volume sizes 'during NBO therapy' predicted by Control-models were significantly larger (P = 0.007) than those predicted by NBO models, suggesting that ischemic lesion growth is attenuated during NBO treatment. No significant difference was found between the predicted lesion volumes at later time-points. NBO-treated patients, despite showing larger lesion volumes on Control-models than NBO-models, tended to have reduced lesion growth. CONCLUSIONS: This study shows that NBO has therapeutic potential in acute ischemic stroke, and demonstrates the feasibility of using MRI-based algorithms to evaluate novel treatments in early-phase clinical trials. BioMed Central 2012-03-09 /pmc/articles/PMC3388462/ /pubmed/22404875 http://dx.doi.org/10.1186/2045-9912-2-5 Text en Copyright ©2012 Wu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Wu, Ona
Benner, Thomas
Roccatagliata, Luca
Zhu, Mingwang
Schaefer, Pamela W
Sorensen, Alma Gregory
Singhal, Aneesh B
Evaluating effects of normobaric oxygen therapy in acute stroke with MRI-based predictive models
title Evaluating effects of normobaric oxygen therapy in acute stroke with MRI-based predictive models
title_full Evaluating effects of normobaric oxygen therapy in acute stroke with MRI-based predictive models
title_fullStr Evaluating effects of normobaric oxygen therapy in acute stroke with MRI-based predictive models
title_full_unstemmed Evaluating effects of normobaric oxygen therapy in acute stroke with MRI-based predictive models
title_short Evaluating effects of normobaric oxygen therapy in acute stroke with MRI-based predictive models
title_sort evaluating effects of normobaric oxygen therapy in acute stroke with mri-based predictive models
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3388462/
https://www.ncbi.nlm.nih.gov/pubmed/22404875
http://dx.doi.org/10.1186/2045-9912-2-5
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