Next Article in Journal
Surveillance for Hepatocellular Carcinoma in Patients with NASH
Next Article in Special Issue
The Role of Proteomics in Biomarker Development for Improved Patient Diagnosis and Clinical Decision Making in Prostate Cancer
Previous Article in Journal
Improving the Sensitivity and Functionality of Mobile Webcam-Based Fluorescence Detectors for Point-of-Care Diagnostics in Global Health
Previous Article in Special Issue
When Prostate Cancer Circulates in the Bloodstream
Article Menu

Export Article

Open AccessReview
Diagnostics 2016, 6(2), 21;

Limitations and Prospects for Diffusion-Weighted MRI of the Prostate

Discipline of Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney, Sydney, NSW 2006, Australia
Centre for Medical Image Computing, University College London, London WC1E 6BT, UK
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Andreas Kjaer
Received: 29 April 2016 / Revised: 23 May 2016 / Accepted: 23 May 2016 / Published: 27 May 2016
(This article belongs to the Special Issue Prostate Cancer Diagnosis)
View Full-Text   |   Download PDF [243 KB, uploaded 27 May 2016]


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. View Full-Text
Keywords: prostate; cancer; MRI; mpMRI; diffusion; microstructure; modeling prostate; cancer; MRI; mpMRI; diffusion; microstructure; modeling
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Bourne, R.; Panagiotaki, E. Limitations and Prospects for Diffusion-Weighted MRI of the Prostate. Diagnostics 2016, 6, 21.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Diagnostics EISSN 2075-4418 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top