Multiparametric MRI in Evaluating Cancer Stage and Helping Treatment Planning in Patients With Prostate Cancer

  • End date
    Aug 1, 2025
  • participants needed
  • sponsor
    ECOG-ACRIN Cancer Research Group
Updated on 4 October 2022
multiparametric magnetic resonance imaging


This phase II trial studies how well multiparametric magnetic resonance imaging (MRI) works in evaluating cancer stage and helping treatment planning in patients with prostate cancer. Multiparametric MRI may be useful for evaluating the type of cancer in finding aggressive disease.



I. To estimate the diagnostic performance as quantified by the area under the ROC curve to detect aggressive prostate cancer.

II. To develop a risk prediction model by incorporating overall PI-RADS, PSA, Gleason score and clinical stage to predict the presence of aggressive prostate cancer.


I. To evaluate the diagnostic performance of the individual PI-RADS score of each MRI parameter (T2W, DWI and DCE), as determined by local imaging review.


I. All clinical data including magnetic resonance (MR) images will be banked for future exploratory research aims.


Patients undergo mpMRI within 3 months prior to schedule surgery.

After completion of study, patients are followed up until radical prostatectomy pathology is reported and finalized.

Condition Prostate Carcinoma
Treatment Multiparametric Magnetic Resonance Imaging
Clinical Study IdentifierNCT03697148
SponsorECOG-ACRIN Cancer Research Group
Last Modified on4 October 2022


Yes No Not Sure

Inclusion Criteria

Recently diagnosed with prostate cancer for whom definitive surgical treatment is indicated

Exclusion Criteria

Not suitable to undergo MRI or receive gadolinium-based contrast agent (severe, untreatable claustrophobia; MRI-incompatible metallic objects or implanted medical devices; renal failure; weight greater than allowable by scanner per institutional standard practice)
Prior surgical and/or non-surgical treatment for prostate cancer
Prior hip replacement or other major pelvic surgery
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