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Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study

The diffusion signal in breast tissue has primarily been modelled using apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM) and diffusion tensor (DT) models, which may be too simplistic to describe the underlying tissue microstructure. Formalin‐fixed breast cancer samples were...

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Autores principales: Bailey, Colleen, Siow, Bernard, Panagiotaki, Eleftheria, Hipwell, John H., Mertzanidou, Thomy, Owen, Julie, Gazinska, Patrycja, Pinder, Sarah E., Alexander, Daniel C., Hawkes, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5244665/
https://www.ncbi.nlm.nih.gov/pubmed/28000292
http://dx.doi.org/10.1002/nbm.3679
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author Bailey, Colleen
Siow, Bernard
Panagiotaki, Eleftheria
Hipwell, John H.
Mertzanidou, Thomy
Owen, Julie
Gazinska, Patrycja
Pinder, Sarah E.
Alexander, Daniel C.
Hawkes, David J.
author_facet Bailey, Colleen
Siow, Bernard
Panagiotaki, Eleftheria
Hipwell, John H.
Mertzanidou, Thomy
Owen, Julie
Gazinska, Patrycja
Pinder, Sarah E.
Alexander, Daniel C.
Hawkes, David J.
author_sort Bailey, Colleen
collection PubMed
description The diffusion signal in breast tissue has primarily been modelled using apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM) and diffusion tensor (DT) models, which may be too simplistic to describe the underlying tissue microstructure. Formalin‐fixed breast cancer samples were scanned using a wide range of gradient strengths, durations, separations and orientations. A variety of one‐ and two‐compartment models were tested to determine which best described the data. Models with restricted diffusion components and anisotropy were selected in most cancerous regions and there were no regions in which conventional ADC or DT models were selected. Maps of ADC generally related to cellularity on histology, but maps of parameters from more complex models suggest that both overall cell volume fraction and individual cell size can contribute to the diffusion signal, affecting the specificity of ADC to the tissue microstructure. The areas of coherence in diffusion anisotropy images were small, approximately 1 mm, but the orientation corresponded to stromal orientation patterns on histology.
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spelling pubmed-52446652017-01-25 Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study Bailey, Colleen Siow, Bernard Panagiotaki, Eleftheria Hipwell, John H. Mertzanidou, Thomy Owen, Julie Gazinska, Patrycja Pinder, Sarah E. Alexander, Daniel C. Hawkes, David J. NMR Biomed Research Articles The diffusion signal in breast tissue has primarily been modelled using apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM) and diffusion tensor (DT) models, which may be too simplistic to describe the underlying tissue microstructure. Formalin‐fixed breast cancer samples were scanned using a wide range of gradient strengths, durations, separations and orientations. A variety of one‐ and two‐compartment models were tested to determine which best described the data. Models with restricted diffusion components and anisotropy were selected in most cancerous regions and there were no regions in which conventional ADC or DT models were selected. Maps of ADC generally related to cellularity on histology, but maps of parameters from more complex models suggest that both overall cell volume fraction and individual cell size can contribute to the diffusion signal, affecting the specificity of ADC to the tissue microstructure. The areas of coherence in diffusion anisotropy images were small, approximately 1 mm, but the orientation corresponded to stromal orientation patterns on histology. John Wiley and Sons Inc. 2016-12-21 2017-02 /pmc/articles/PMC5244665/ /pubmed/28000292 http://dx.doi.org/10.1002/nbm.3679 Text en © 2016 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (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
Bailey, Colleen
Siow, Bernard
Panagiotaki, Eleftheria
Hipwell, John H.
Mertzanidou, Thomy
Owen, Julie
Gazinska, Patrycja
Pinder, Sarah E.
Alexander, Daniel C.
Hawkes, David J.
Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study
title Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study
title_full Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study
title_fullStr Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study
title_full_unstemmed Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study
title_short Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study
title_sort microstructural models for diffusion mri in breast cancer and surrounding stroma: an ex vivo study
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5244665/
https://www.ncbi.nlm.nih.gov/pubmed/28000292
http://dx.doi.org/10.1002/nbm.3679
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