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Multiparametric MR for non‐invasive evaluation of tumour tissue histological characteristics after radionuclide therapy
Early non‐invasive tumour therapy response assessment requires methods sensitive to biological and physiological tumour characteristics. The aim of this study was to find and evaluate magnetic resonance imaging (MRI) derived tumour tissue parameters that correlate with histological parameters and th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590232/ https://www.ncbi.nlm.nih.gov/pubmed/30693592 http://dx.doi.org/10.1002/nbm.4060 |
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author | Montelius, Mikael Jalnefjord, Oscar Spetz, Johan Nilsson, Ola Forssell‐Aronsson, Eva Ljungberg, Maria |
author_facet | Montelius, Mikael Jalnefjord, Oscar Spetz, Johan Nilsson, Ola Forssell‐Aronsson, Eva Ljungberg, Maria |
author_sort | Montelius, Mikael |
collection | PubMed |
description | Early non‐invasive tumour therapy response assessment requires methods sensitive to biological and physiological tumour characteristics. The aim of this study was to find and evaluate magnetic resonance imaging (MRI) derived tumour tissue parameters that correlate with histological parameters and that reflect effects of radionuclide therapy. Mice bearing a subcutaneous human small‐intestine neuroendocrine tumour were i.v. injected with (177)Lu‐octreotate. MRI was performed (7 T Bruker Biospec) on different post‐therapy intervals (1 and 13 days) using T2‐weighted imaging, mapping of T2* and T1 relaxation time constants, as well as diffusion and dynamic contrast enhancement (DCE‐MRI) techniques. After MRI, animals were killed and tumours excised. Four differently stained histological sections of the most central imaged tumour plane were digitized, and segmentation techniques were used to produce maps reflecting fibrotic and vascular density, apoptosis, and proliferation. Histological maps were aligned with MRI‐derived parametric maps using landmark‐based registration. Correlations and predictive power were evaluated using linear mixed‐effects models and cross‐validation, respectively. Several MR parameters showed statistically significant correlations with histological parameters. In particular, three DCE‐MRI‐derived parameters reflecting capillary function additionally showed high predictive power regarding apoptosis (2/3) and proliferation (1/3). T1 could be used to predict vascular density, and perfusion fraction derived from diffusion MRI could predict fibrotic density, although with lower predictive power. This work demonstrates the potential to use multiparametric MRI to retrieve important information on the tumour microenvironment after radiotherapy. The non‐invasiveness of the method also allows longitudinal tumour tissue characterization. Further investigation is warranted to evaluate the parameters highlighted in this study longitudinally, in larger studies, and with additional histological methods. |
format | Online Article Text |
id | pubmed-6590232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65902322019-07-08 Multiparametric MR for non‐invasive evaluation of tumour tissue histological characteristics after radionuclide therapy Montelius, Mikael Jalnefjord, Oscar Spetz, Johan Nilsson, Ola Forssell‐Aronsson, Eva Ljungberg, Maria NMR Biomed Research Articles Early non‐invasive tumour therapy response assessment requires methods sensitive to biological and physiological tumour characteristics. The aim of this study was to find and evaluate magnetic resonance imaging (MRI) derived tumour tissue parameters that correlate with histological parameters and that reflect effects of radionuclide therapy. Mice bearing a subcutaneous human small‐intestine neuroendocrine tumour were i.v. injected with (177)Lu‐octreotate. MRI was performed (7 T Bruker Biospec) on different post‐therapy intervals (1 and 13 days) using T2‐weighted imaging, mapping of T2* and T1 relaxation time constants, as well as diffusion and dynamic contrast enhancement (DCE‐MRI) techniques. After MRI, animals were killed and tumours excised. Four differently stained histological sections of the most central imaged tumour plane were digitized, and segmentation techniques were used to produce maps reflecting fibrotic and vascular density, apoptosis, and proliferation. Histological maps were aligned with MRI‐derived parametric maps using landmark‐based registration. Correlations and predictive power were evaluated using linear mixed‐effects models and cross‐validation, respectively. Several MR parameters showed statistically significant correlations with histological parameters. In particular, three DCE‐MRI‐derived parameters reflecting capillary function additionally showed high predictive power regarding apoptosis (2/3) and proliferation (1/3). T1 could be used to predict vascular density, and perfusion fraction derived from diffusion MRI could predict fibrotic density, although with lower predictive power. This work demonstrates the potential to use multiparametric MRI to retrieve important information on the tumour microenvironment after radiotherapy. The non‐invasiveness of the method also allows longitudinal tumour tissue characterization. Further investigation is warranted to evaluate the parameters highlighted in this study longitudinally, in larger studies, and with additional histological methods. John Wiley and Sons Inc. 2019-01-28 2019-03 /pmc/articles/PMC6590232/ /pubmed/30693592 http://dx.doi.org/10.1002/nbm.4060 Text en © 2019 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Montelius, Mikael Jalnefjord, Oscar Spetz, Johan Nilsson, Ola Forssell‐Aronsson, Eva Ljungberg, Maria Multiparametric MR for non‐invasive evaluation of tumour tissue histological characteristics after radionuclide therapy |
title | Multiparametric MR for non‐invasive evaluation of tumour tissue histological characteristics after radionuclide therapy |
title_full | Multiparametric MR for non‐invasive evaluation of tumour tissue histological characteristics after radionuclide therapy |
title_fullStr | Multiparametric MR for non‐invasive evaluation of tumour tissue histological characteristics after radionuclide therapy |
title_full_unstemmed | Multiparametric MR for non‐invasive evaluation of tumour tissue histological characteristics after radionuclide therapy |
title_short | Multiparametric MR for non‐invasive evaluation of tumour tissue histological characteristics after radionuclide therapy |
title_sort | multiparametric mr for non‐invasive evaluation of tumour tissue histological characteristics after radionuclide therapy |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590232/ https://www.ncbi.nlm.nih.gov/pubmed/30693592 http://dx.doi.org/10.1002/nbm.4060 |
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