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Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer
INTRODUCTION: Magnetic resonance imaging (MRI) can portray spatial variations in tumor heterogeneity, architecture, and its microenvironment in a non-destructive way. The objective of this study was to assess the relationship between MRI parameters measured on patients in vivo, individual metabolite...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4905954/ https://www.ncbi.nlm.nih.gov/pubmed/27379208 http://dx.doi.org/10.3389/fonc.2016.00146 |
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author | Selnæs, Kirsten Margrete Vettukattil, Riyas Bertilsson, Helena Wright, Alan J. Heerschap, Arend Angelsen, Anders Tessem, May-Britt Bathen, Tone Frost |
author_facet | Selnæs, Kirsten Margrete Vettukattil, Riyas Bertilsson, Helena Wright, Alan J. Heerschap, Arend Angelsen, Anders Tessem, May-Britt Bathen, Tone Frost |
author_sort | Selnæs, Kirsten Margrete |
collection | PubMed |
description | INTRODUCTION: Magnetic resonance imaging (MRI) can portray spatial variations in tumor heterogeneity, architecture, and its microenvironment in a non-destructive way. The objective of this study was to assess the relationship between MRI parameters measured on patients in vivo, individual metabolites measured in prostatectomy tissue ex vivo, and quantitative histopathology. MATERIALS AND METHODS: Fresh frozen tissue samples (n = 53 from 15 patients) were extracted from transversal prostate slices and linked to in vivo MR images, allowing spatially matching of ex vivo measured metabolites with in vivo MR parameters. Color-based segmentation of cryosections of each tissue sample was used to identify luminal space, stroma, and nuclei. RESULTS: Cancer samples have significantly lower area percentage of lumen and higher area percentage of nuclei than non-cancer samples (p ≤ 0.001). Apparent diffusion coefficient is significantly correlated with percentage area of lumen (ρ = 0.6, p < 0.001) and percentage area of nuclei (ρ = −0.35, p = 0.01). There is a positive correlation (ρ = 0.31, p = 0.053) between citrate and percentage area of lumen. Choline is negatively correlated with lumen (ρ = −0.38, p = 0.02) and positively correlated with percentage area of nuclei (ρ = 0.38, p = 0.02). CONCLUSION: Microstructures that are observed by histopathology are linked to MR characteristics and metabolite levels observed in prostate cancer. |
format | Online Article Text |
id | pubmed-4905954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49059542016-07-04 Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer Selnæs, Kirsten Margrete Vettukattil, Riyas Bertilsson, Helena Wright, Alan J. Heerschap, Arend Angelsen, Anders Tessem, May-Britt Bathen, Tone Frost Front Oncol Oncology INTRODUCTION: Magnetic resonance imaging (MRI) can portray spatial variations in tumor heterogeneity, architecture, and its microenvironment in a non-destructive way. The objective of this study was to assess the relationship between MRI parameters measured on patients in vivo, individual metabolites measured in prostatectomy tissue ex vivo, and quantitative histopathology. MATERIALS AND METHODS: Fresh frozen tissue samples (n = 53 from 15 patients) were extracted from transversal prostate slices and linked to in vivo MR images, allowing spatially matching of ex vivo measured metabolites with in vivo MR parameters. Color-based segmentation of cryosections of each tissue sample was used to identify luminal space, stroma, and nuclei. RESULTS: Cancer samples have significantly lower area percentage of lumen and higher area percentage of nuclei than non-cancer samples (p ≤ 0.001). Apparent diffusion coefficient is significantly correlated with percentage area of lumen (ρ = 0.6, p < 0.001) and percentage area of nuclei (ρ = −0.35, p = 0.01). There is a positive correlation (ρ = 0.31, p = 0.053) between citrate and percentage area of lumen. Choline is negatively correlated with lumen (ρ = −0.38, p = 0.02) and positively correlated with percentage area of nuclei (ρ = 0.38, p = 0.02). CONCLUSION: Microstructures that are observed by histopathology are linked to MR characteristics and metabolite levels observed in prostate cancer. Frontiers Media S.A. 2016-06-14 /pmc/articles/PMC4905954/ /pubmed/27379208 http://dx.doi.org/10.3389/fonc.2016.00146 Text en Copyright © 2016 Selnæs, Vettukattil, Bertilsson, Wright, Heerschap, Angelsen, Tessem and Bathen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Selnæs, Kirsten Margrete Vettukattil, Riyas Bertilsson, Helena Wright, Alan J. Heerschap, Arend Angelsen, Anders Tessem, May-Britt Bathen, Tone Frost Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer |
title | Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer |
title_full | Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer |
title_fullStr | Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer |
title_full_unstemmed | Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer |
title_short | Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer |
title_sort | tissue microstructure is linked to mri parameters and metabolite levels in prostate cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4905954/ https://www.ncbi.nlm.nih.gov/pubmed/27379208 http://dx.doi.org/10.3389/fonc.2016.00146 |
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