Prostate Cancer Localization With a Multiparametric Magnetic Resonance (MR) Approach — PCa-MAP  

Prostate Cancer Clinical Trial

Official title: Prostate Cancer Localization With a Multiparametric MR Approach

Status Completed

Clinical Trial Summary

The primary objective of this prospective multi-centre study is to prove the diagnostic accuracy of in vivo 3T multi-modality Magnetic Resonance Imaging (high resolution T2-weighted MRI, DCE-MRI, MRSI and DWI techniques) in distinguishing carcinoma from other prostate tissue. The gold standard for distinguishing the tissue types is the analysis of whole-mount sections of the resected prostate by a genitourinary histopathologist.

Clinical Trial Description

Goal Proving that multi-parametric MR imaging in a multi-centre setting allows for localizing clinically significant (volume > 0.5cc; Gleason > 6) prostate carcinoma in the prostate.

Objective 1

To determine the diagnostic accuracy (area under the receiver-operating characteristic curve) of 3-Tesla multi-modality non-endorectal coil (ERC) MR imaging in localizing prostate cancer, by correlating:

1. focal areas of low signal intensity on T2-weighted images;

2. the extent and degree of deviating metabolite ratios derived from MRSI. This can be the choline+creatine/citrate ratio or if possible, the choline / citrate ratio;

3. the extent and degree of apparent diffusion coefficient reduction on DWI;

4. the extent and degree of perfusion abnormality on DCE-MRI; with the presence or absence of cancer at (reconstructed) whole mount section histopathology.

Objective 2 Proving that multi-modality MR data allows for predicting tumor grade. The parameters from the different MR methods for a tumor focus can be correlated to the local Gleason grade of the corresponding lesion in the histopathological specimens. ;

Related Conditions & MeSH terms

• Prostate Cancer
• Prostatic Neoplasms

• NCT number: NCT01138527
• Study type: Observational
• Source: Radboud University
• Status: Completed
• Start date: June 2010
• Completion date: July 2019