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.
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.
Study Type
OBSERVATIONAL
Enrollment
148
45-minute MRI examination of the prostate and surrounding tissues with T2-weighted MRI, diffusion-weighted MRI, Spectroscopic Imaging and dynamic contrast enhanced imaging
David Geffen School of Medicine at UCLA
Los Angeles, California, United States
Johns Hopkins Medical Institutions
Baltimore, Maryland, United States
Medical University Vienna
Vienna, Austria
Ghent University Hospita
Area under the ROC curve to distinguish between cancer and non-cancer tissue in the prostate
Time frame: December 2015
Area under the ROC curve to separate low aggressive from intermediate and high aggressive prostate cancer
Time frame: december 2015
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Ghent, Belgium
University Health Network, Princess Margaret Hospital
Toronto, Canada
University Medical Center Mannheim, Heidelberg University
Mannheim, Germany
Radboud University Nijmegen Medical Centre
Nijmegen, Netherlands
Norwegian University of Science and Technology
Trondheim, Norway
Mount Vernon Hospital, Paul Strickland Scanner Centre
London, United Kingdom