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Unfavorable MRI But Favorable 68Ga-PSMA PET/MRI for Primary Prostate Cancer Detection

Prostate Neoplasm Clinical Trial

Official title:
Diagnostic Performance of 68Ga-PSMA PET/MRI in Suspicious Biopsy-naive Prostate Cancer Patients With Favorable Lesion on PET But Unfavorable on MRI for Primary Prostate Cancer Detection: a Pilot Study

Clinical Trial Summary

This perspective cohort study aims to assess the detection rate of prostate cancer through prostate biopsy within suspicious patients harboring unfavorable multiparametric MRI but favorable 68Ga-PSMA PET/MRI who have had no prior prostate biopsy.

Clinical Trial Description

Multiparametric MRI (MpMRI) is currently regarded as the best imaging method to noninvasively identify and characterize prostate cancer (PCa) with the Prostate Imaging Reporting and Data System (PI-RADS) v2. However, there are diagnostic difficulties for suspicious patients with PI-RADS score 3 and not all PCa are equivalently visible on mpMRI. For such patients, other alternative imaging techniques are required to properly characterize and detect PCa.

It has been widely reported that 68Ga-PSMA PET imaging offers excellent performance in detecting primary PCa and is able to noninvasively characterize the aggressiveness of PCa. Recently, integrated PET/MRI, which combines the strengths of both modalities, has been shown to have great potential for influencing clinical practice by providing a more certain map of localized PCa to aid targeted biopsies and therapy.

This perspective cohort study aims to assess the detection rate of PCa through prostate biopsy within suspicious patients harboring unfavorable mpMRI but favorable 68Ga-PSMA PET/MRI who have had no prior prostate biopsy. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04124107
Study type Interventional
Source The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Contact Hongqian Guo, PhD
Phone 8613605171690
Email dr.ghq@nju.edu.cn
Status Not yet recruiting
Phase N/A
Start date December 2019
Completion date December 2020
View Details
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