UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Limitations and Prospects for Diffusion-Weighted MRI of the Prostate

Bourne, R; Panagiotaki, E; (2016) Limitations and Prospects for Diffusion-Weighted MRI of the Prostate. Diagnostics , 6 (2) , Article 21. 10.3390/diagnostics6020021. Green open access

[thumbnail of Panagiotaki_diagnostics-06-00021 (1).pdf]
Preview
Text
Panagiotaki_diagnostics-06-00021 (1).pdf

Download (248kB) | Preview

Abstract

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.

Type: Article
Title: Limitations and Prospects for Diffusion-Weighted MRI of the Prostate
Location: Switzerland
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/diagnostics6020021
Publisher version: http://doi.org/10.3390/diagnostics6020021
Language: English
Additional information: © 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/).
Keywords: MRI, cancer, diffusion, microstructure, modeling, mpMRI, prostate
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1498345
Downloads since deposit
98Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item