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VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment
The VERDICT framework for modelling diffusion MRI data aims to relate parameters from a biophysical model to histological features used for tumour grading in prostate cancer. Validation of the VERDICT model is necessary for clinical use. This study compared VERDICT parameters obtained ex vivo with h...
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/PMC6519204/ https://www.ncbi.nlm.nih.gov/pubmed/30779863 http://dx.doi.org/10.1002/nbm.4073 |
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author | Bailey, Colleen Bourne, Roger M. Siow, Bernard Johnston, Edward W. Brizmohun Appayya, Mrishta Pye, Hayley Heavey, Susan Mertzanidou, Thomy Whitaker, Hayley Freeman, Alex Patel, Dominic Shaw, Greg L. Sridhar, Ashwin Hawkes, David J. Punwani, Shonit Alexander, Daniel C. Panagiotaki, Eleftheria |
author_facet | Bailey, Colleen Bourne, Roger M. Siow, Bernard Johnston, Edward W. Brizmohun Appayya, Mrishta Pye, Hayley Heavey, Susan Mertzanidou, Thomy Whitaker, Hayley Freeman, Alex Patel, Dominic Shaw, Greg L. Sridhar, Ashwin Hawkes, David J. Punwani, Shonit Alexander, Daniel C. Panagiotaki, Eleftheria |
author_sort | Bailey, Colleen |
collection | PubMed |
description | The VERDICT framework for modelling diffusion MRI data aims to relate parameters from a biophysical model to histological features used for tumour grading in prostate cancer. Validation of the VERDICT model is necessary for clinical use. This study compared VERDICT parameters obtained ex vivo with histology in five specimens from radical prostatectomy. A patient‐specific 3D‐printed mould was used to investigate the effects of fixation on VERDICT parameters and to aid registration to histology. A rich diffusion data set was acquired in each ex vivo prostate before and after fixation. At both time points, data were best described by a two‐compartment model: the model assumes that an anisotropic tensor compartment represents the extracellular space and a restricted sphere compartment models the intracellular space. The effect of fixation on model parameters associated with tissue microstructure was small. The patient‐specific mould minimized tissue deformations and co‐localized slices, so that rigid registration of MRI to histology images allowed region‐based comparison with histology. The VERDICT estimate of the intracellular volume fraction corresponded to histological indicators of cellular fraction, including high values in tumour regions. The average sphere radius from VERDICT, representing the average cell size, was relatively uniform across samples. The primary diffusion direction from the extracellular compartment of the VERDICT model aligned with collagen fibre patterns in the stroma obtained by structure tensor analysis. This confirmed the biophysical relationship between ex vivo VERDICT parameters and tissue microstructure from histology. |
format | Online Article Text |
id | pubmed-6519204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65192042019-08-29 VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment Bailey, Colleen Bourne, Roger M. Siow, Bernard Johnston, Edward W. Brizmohun Appayya, Mrishta Pye, Hayley Heavey, Susan Mertzanidou, Thomy Whitaker, Hayley Freeman, Alex Patel, Dominic Shaw, Greg L. Sridhar, Ashwin Hawkes, David J. Punwani, Shonit Alexander, Daniel C. Panagiotaki, Eleftheria NMR Biomed Research Articles The VERDICT framework for modelling diffusion MRI data aims to relate parameters from a biophysical model to histological features used for tumour grading in prostate cancer. Validation of the VERDICT model is necessary for clinical use. This study compared VERDICT parameters obtained ex vivo with histology in five specimens from radical prostatectomy. A patient‐specific 3D‐printed mould was used to investigate the effects of fixation on VERDICT parameters and to aid registration to histology. A rich diffusion data set was acquired in each ex vivo prostate before and after fixation. At both time points, data were best described by a two‐compartment model: the model assumes that an anisotropic tensor compartment represents the extracellular space and a restricted sphere compartment models the intracellular space. The effect of fixation on model parameters associated with tissue microstructure was small. The patient‐specific mould minimized tissue deformations and co‐localized slices, so that rigid registration of MRI to histology images allowed region‐based comparison with histology. The VERDICT estimate of the intracellular volume fraction corresponded to histological indicators of cellular fraction, including high values in tumour regions. The average sphere radius from VERDICT, representing the average cell size, was relatively uniform across samples. The primary diffusion direction from the extracellular compartment of the VERDICT model aligned with collagen fibre patterns in the stroma obtained by structure tensor analysis. This confirmed the biophysical relationship between ex vivo VERDICT parameters and tissue microstructure from histology. John Wiley and Sons Inc. 2019-02-19 2019-05 /pmc/articles/PMC6519204/ /pubmed/30779863 http://dx.doi.org/10.1002/nbm.4073 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 Bailey, Colleen Bourne, Roger M. Siow, Bernard Johnston, Edward W. Brizmohun Appayya, Mrishta Pye, Hayley Heavey, Susan Mertzanidou, Thomy Whitaker, Hayley Freeman, Alex Patel, Dominic Shaw, Greg L. Sridhar, Ashwin Hawkes, David J. Punwani, Shonit Alexander, Daniel C. Panagiotaki, Eleftheria VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment |
title | VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment |
title_full | VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment |
title_fullStr | VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment |
title_full_unstemmed | VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment |
title_short | VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment |
title_sort | verdict mri validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and mr alignment |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519204/ https://www.ncbi.nlm.nih.gov/pubmed/30779863 http://dx.doi.org/10.1002/nbm.4073 |
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