Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Montelius, Mikael, Jalnefjord, Oscar, Spetz, Johan, Nilsson, Ola, Forssell‐Aronsson, Eva, Ljungberg, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
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
_version_ 1783429514740629504
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
work_keys_str_mv AT monteliusmikael multiparametricmrfornoninvasiveevaluationoftumourtissuehistologicalcharacteristicsafterradionuclidetherapy
AT jalnefjordoscar multiparametricmrfornoninvasiveevaluationoftumourtissuehistologicalcharacteristicsafterradionuclidetherapy
AT spetzjohan multiparametricmrfornoninvasiveevaluationoftumourtissuehistologicalcharacteristicsafterradionuclidetherapy
AT nilssonola multiparametricmrfornoninvasiveevaluationoftumourtissuehistologicalcharacteristicsafterradionuclidetherapy
AT forssellaronssoneva multiparametricmrfornoninvasiveevaluationoftumourtissuehistologicalcharacteristicsafterradionuclidetherapy
AT ljungbergmaria multiparametricmrfornoninvasiveevaluationoftumourtissuehistologicalcharacteristicsafterradionuclidetherapy