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Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI

Tumor heterogeneity can be elucidated by mapping subregions of the lesion with differential imaging characteristics, called habitats. Dynamic Contrast Enhanced (DCE-)MRI can depict the tumor microenvironments by identifying areas with variable perfusion and vascular permeability, since individual tu...

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Autores principales: Chang, Yu-Cherng Channing, Ackerstaff, Ellen, Tschudi, Yohann, Jimenez, Bryan, Foltz, Warren, Fisher, Carl, Lilge, Lothar, Cho, HyungJoon, Carlin, Sean, Gillies, Robert J., Balagurunathan, Yoganand, Yechieli, Raphael L., Subhawong, Ty, Turkbey, Baris, Pollack, Alan, Stoyanova, Radka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575347/
https://www.ncbi.nlm.nih.gov/pubmed/28851989
http://dx.doi.org/10.1038/s41598-017-09932-5
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author Chang, Yu-Cherng Channing
Ackerstaff, Ellen
Tschudi, Yohann
Jimenez, Bryan
Foltz, Warren
Fisher, Carl
Lilge, Lothar
Cho, HyungJoon
Carlin, Sean
Gillies, Robert J.
Balagurunathan, Yoganand
Yechieli, Raphael L.
Subhawong, Ty
Turkbey, Baris
Pollack, Alan
Stoyanova, Radka
author_facet Chang, Yu-Cherng Channing
Ackerstaff, Ellen
Tschudi, Yohann
Jimenez, Bryan
Foltz, Warren
Fisher, Carl
Lilge, Lothar
Cho, HyungJoon
Carlin, Sean
Gillies, Robert J.
Balagurunathan, Yoganand
Yechieli, Raphael L.
Subhawong, Ty
Turkbey, Baris
Pollack, Alan
Stoyanova, Radka
author_sort Chang, Yu-Cherng Channing
collection PubMed
description Tumor heterogeneity can be elucidated by mapping subregions of the lesion with differential imaging characteristics, called habitats. Dynamic Contrast Enhanced (DCE-)MRI can depict the tumor microenvironments by identifying areas with variable perfusion and vascular permeability, since individual tumor habitats vary in the rate and magnitude of the contrast uptake and washout. Of particular interest is identifying areas of hypoxia, characterized by inadequate perfusion and hyper-permeable vasculature. An automatic procedure for delineation of tumor habitats from DCE-MRI was developed as a two-part process involving: (1) statistical testing in order to determine the number of the underlying habitats; and (2) an unsupervised pattern recognition technique to recover the temporal contrast patterns and locations of the associated habitats. The technique is examined on simulated data and DCE-MRI, obtained from prostate and brain pre-clinical cancer models, as well as clinical data from sarcoma and prostate cancer patients. The procedure successfully identified habitats previously associated with well-perfused, hypoxic and/or necrotic tumor compartments. Given the association of tumor hypoxia with more aggressive tumor phenotypes, the obtained in vivo information could impact management of cancer patients considerably.
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spelling pubmed-55753472017-09-01 Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI Chang, Yu-Cherng Channing Ackerstaff, Ellen Tschudi, Yohann Jimenez, Bryan Foltz, Warren Fisher, Carl Lilge, Lothar Cho, HyungJoon Carlin, Sean Gillies, Robert J. Balagurunathan, Yoganand Yechieli, Raphael L. Subhawong, Ty Turkbey, Baris Pollack, Alan Stoyanova, Radka Sci Rep Article Tumor heterogeneity can be elucidated by mapping subregions of the lesion with differential imaging characteristics, called habitats. Dynamic Contrast Enhanced (DCE-)MRI can depict the tumor microenvironments by identifying areas with variable perfusion and vascular permeability, since individual tumor habitats vary in the rate and magnitude of the contrast uptake and washout. Of particular interest is identifying areas of hypoxia, characterized by inadequate perfusion and hyper-permeable vasculature. An automatic procedure for delineation of tumor habitats from DCE-MRI was developed as a two-part process involving: (1) statistical testing in order to determine the number of the underlying habitats; and (2) an unsupervised pattern recognition technique to recover the temporal contrast patterns and locations of the associated habitats. The technique is examined on simulated data and DCE-MRI, obtained from prostate and brain pre-clinical cancer models, as well as clinical data from sarcoma and prostate cancer patients. The procedure successfully identified habitats previously associated with well-perfused, hypoxic and/or necrotic tumor compartments. Given the association of tumor hypoxia with more aggressive tumor phenotypes, the obtained in vivo information could impact management of cancer patients considerably. Nature Publishing Group UK 2017-08-29 /pmc/articles/PMC5575347/ /pubmed/28851989 http://dx.doi.org/10.1038/s41598-017-09932-5 Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chang, Yu-Cherng Channing
Ackerstaff, Ellen
Tschudi, Yohann
Jimenez, Bryan
Foltz, Warren
Fisher, Carl
Lilge, Lothar
Cho, HyungJoon
Carlin, Sean
Gillies, Robert J.
Balagurunathan, Yoganand
Yechieli, Raphael L.
Subhawong, Ty
Turkbey, Baris
Pollack, Alan
Stoyanova, Radka
Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI
title Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI
title_full Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI
title_fullStr Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI
title_full_unstemmed Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI
title_short Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI
title_sort delineation of tumor habitats based on dynamic contrast enhanced mri
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575347/
https://www.ncbi.nlm.nih.gov/pubmed/28851989
http://dx.doi.org/10.1038/s41598-017-09932-5
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