Prostate Cancer Localization With a Multiparametric MR Approach
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.
Observational
Observational Model: Cohort, Time Perspective: Prospective
Tom W Scheenen, PhD
Principal Investigator
Radiology, Radboud University Nijmegen Medical Centre
Netherlands: The Central Committee on Research Involving Human Subjects (CCMO)
RU PCa-MAP
NCT01138527
June 2010
Name | Location |
---|---|
David Geffen School of Medicine at UCLA | Los Angeles, California 90095 |
Johns Hopkins Medical Institutions | Baltimore, Maryland 21205 |