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Limitations and Prospects for Diffusion-Weighted MRI of the Prostate
Diffusion-weighted imaging (DWI) is the most effective component of the modern multi-parametric magnetic resonance imaging (mpMRI) scan for prostate pathology. DWI provides the strongest prediction of cancer volume, and the apparent diffusion coefficient (ADC) correlates moderately with Gleason grad...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931416/ https://www.ncbi.nlm.nih.gov/pubmed/27240408 http://dx.doi.org/10.3390/diagnostics6020021 |
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author | Bourne, Roger Panagiotaki, Eleftheria |
author_facet | Bourne, Roger Panagiotaki, Eleftheria |
author_sort | Bourne, Roger |
collection | PubMed |
description | Diffusion-weighted imaging (DWI) is the most effective component of the modern multi-parametric magnetic resonance imaging (mpMRI) scan for prostate pathology. DWI provides the strongest prediction of cancer volume, and the apparent diffusion coefficient (ADC) correlates moderately with Gleason grade. Notwithstanding the demonstrated cancer assessment value of DWI, the standard measurement and signal analysis methods are based on a model of water diffusion dynamics that is well known to be invalid in human tissue. This review describes the biophysical limitations of the DWI component of the current standard mpMRI protocol and the potential for significantly improved cancer assessment performance based on more sophisticated measurement and signal modeling techniques. |
format | Online Article Text |
id | pubmed-4931416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-49314162016-07-08 Limitations and Prospects for Diffusion-Weighted MRI of the Prostate Bourne, Roger Panagiotaki, Eleftheria Diagnostics (Basel) Review Diffusion-weighted imaging (DWI) is the most effective component of the modern multi-parametric magnetic resonance imaging (mpMRI) scan for prostate pathology. DWI provides the strongest prediction of cancer volume, and the apparent diffusion coefficient (ADC) correlates moderately with Gleason grade. Notwithstanding the demonstrated cancer assessment value of DWI, the standard measurement and signal analysis methods are based on a model of water diffusion dynamics that is well known to be invalid in human tissue. This review describes the biophysical limitations of the DWI component of the current standard mpMRI protocol and the potential for significantly improved cancer assessment performance based on more sophisticated measurement and signal modeling techniques. MDPI 2016-05-27 /pmc/articles/PMC4931416/ /pubmed/27240408 http://dx.doi.org/10.3390/diagnostics6020021 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Bourne, Roger Panagiotaki, Eleftheria Limitations and Prospects for Diffusion-Weighted MRI of the Prostate |
title | Limitations and Prospects for Diffusion-Weighted MRI of the Prostate |
title_full | Limitations and Prospects for Diffusion-Weighted MRI of the Prostate |
title_fullStr | Limitations and Prospects for Diffusion-Weighted MRI of the Prostate |
title_full_unstemmed | Limitations and Prospects for Diffusion-Weighted MRI of the Prostate |
title_short | Limitations and Prospects for Diffusion-Weighted MRI of the Prostate |
title_sort | limitations and prospects for diffusion-weighted mri of the prostate |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931416/ https://www.ncbi.nlm.nih.gov/pubmed/27240408 http://dx.doi.org/10.3390/diagnostics6020021 |
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