Soroush Rais-Bahrami1,2, Jeffrey W Nix3, Baris Turkbey4, Jason A Pietryga5, Rupan Sanyal5, John V Thomas5, Jennifer B Gordetsky3,6. 1. Department of Urology, University of Alabama at Birmingham, Faculty Office Tower 1107, 510 20th Street South, Birmingham, AL, 3529, USA. sraisbahrami@uabmc.edu. 2. Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA. sraisbahrami@uabmc.edu. 3. Department of Urology, University of Alabama at Birmingham, Faculty Office Tower 1107, 510 20th Street South, Birmingham, AL, 3529, USA. 4. Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. 5. Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA. 6. Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
Abstract
PURPOSE: The purpose of the study is to differentiate granulomatous prostatitis (GP) from high-grade prostate cancer (PCa) based on clinical findings and imaging characteristics on multiparametric MRI (MP-MRI). METHODS: Pathology from patients undergoing MRI/US fusion-guided prostate biopsies between 2014 and 2015 was reviewed. Five patients with biopsy proven GP were identified as well as 15 patients with biopsy-proven Gleason score ≥4 + 3 = 7 PCa. Patients were matched for age, serum PSA level, and prebiopsy-assigned MP-MRI cancer suspicion scores. MP-MRI studies were reviewed to identify findings that would differentiate GP from PCa in patients who had equally high suspicion scores based upon imaging characteristics. RESULTS: All five patients with GP on MR/US fusion-targeted biopsies were assigned a PIRADS 4 or 5 suspicion score. There were equally high suspicion scores on MP-MRI for both groups (p = 0.57). Re-evaluation of the MRI characteristics of the 5 GP patients and 15 matched controls who had pathologically proven Gleason score ≥4 + 3 = 7 PCa on targeted biopsy demonstrated statistically lower mean ADC values within the index targeted lesion for PCa vs. GP (p = 0.002) Qualitatively, no patients with GP on biopsy had imaging evidence of higher-staged disease, while 33% of patients in the high-risk PCa cohort demonstrated at least one high-stage feature (p = 0.003). CONCLUSION: Patients with GP routinely have MRIs with moderate to high levels of suspicion for harboring PCa. Re-evaluation of these patients' imaging demonstrated characteristics including significantly higher ADC values and absence of high-stage features, which may help differentiate areas of GP from PCa in the future.
PURPOSE: The purpose of the study is to differentiate granulomatous prostatitis (GP) from high-grade prostate cancer (PCa) based on clinical findings and imaging characteristics on multiparametric MRI (MP-MRI). METHODS: Pathology from patients undergoing MRI/US fusion-guided prostate biopsies between 2014 and 2015 was reviewed. Five patients with biopsy proven GP were identified as well as 15 patients with biopsy-proven Gleason score ≥4 + 3 = 7 PCa. Patients were matched for age, serum PSA level, and prebiopsy-assigned MP-MRI cancer suspicion scores. MP-MRI studies were reviewed to identify findings that would differentiate GP from PCa in patients who had equally high suspicion scores based upon imaging characteristics. RESULTS: All five patients with GP on MR/US fusion-targeted biopsies were assigned a PIRADS 4 or 5 suspicion score. There were equally high suspicion scores on MP-MRI for both groups (p = 0.57). Re-evaluation of the MRI characteristics of the 5 GP patients and 15 matched controls who had pathologically proven Gleason score ≥4 + 3 = 7 PCa on targeted biopsy demonstrated statistically lower mean ADC values within the index targeted lesion for PCa vs. GP (p = 0.002) Qualitatively, no patients with GP on biopsy had imaging evidence of higher-staged disease, while 33% of patients in the high-risk PCa cohort demonstrated at least one high-stage feature (p = 0.003). CONCLUSION:Patients with GP routinely have MRIs with moderate to high levels of suspicion for harboring PCa. Re-evaluation of these patients' imaging demonstrated characteristics including significantly higher ADC values and absence of high-stage features, which may help differentiate areas of GP from PCa in the future.
Authors: Jennifer B Gordetsky; David Ullman; Luciana Schultz; Kristin K Porter; Maria Del Carmen Rodriguez Pena; Carli E Calderone; Jeffrey W Nix; Michael Ullman; Sejong Bae; Soroush Rais-Bahrami Journal: Hum Pathol Date: 2018-09-01 Impact factor: 3.466
Authors: Catherine Elizabeth Lovegrove; Mudit Matanhelia; Jagpal Randeva; David Eldred-Evans; Henry Tam; Saiful Miah; Mathias Winkler; Hashim U Ahmed; Taimur T Shah Journal: Transl Androl Urol Date: 2018-09