2020
DOI: 10.5489/cuaj.6463
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Predictors of prostate bed recurrence on magnetic resonance imaging in patients with rising prostate-specific antigen after radical prostatectomy

Abstract: Introduction: Radical prostatectomy (RP) is a standard treatment modality for localized prostate cancer. Biochemical failure after RP is usually evaluated with whole body imaging to exclude distant metastatic disease, and pelvic magnetic resonance imaging (MRI) to detect local recurrence in the prostatectomy bed. The goal of this study is to correlate disease characteristics and demographic data in patients with rising prostate-specific antigen (PSA) after RP to determine association with MRI-detected cancer r… Show more

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Cited by 2 publications
(2 citation statements)
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“…Patients showing BCR of PCa have a higher risk of developing distant metastases and PCa-related death [ 3 , 4 ]. Several clinical parameters including serum prostate-specific antigen (PSA) levels, PSA kinetics, and the International Society of Urological Pathology (ISUP) score have been shown to predict the risk of PCa recurrence after RP [ 5 , 6 , 7 , 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…Patients showing BCR of PCa have a higher risk of developing distant metastases and PCa-related death [ 3 , 4 ]. Several clinical parameters including serum prostate-specific antigen (PSA) levels, PSA kinetics, and the International Society of Urological Pathology (ISUP) score have been shown to predict the risk of PCa recurrence after RP [ 5 , 6 , 7 , 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…Identifying factors predicting positive-PSMA imaging with respect to site in BF could aid appropriate patient selection for PSMA imaging in resource limited health systems. Factors that predict BF after RP in general include pre-treatment PSA level, short PSA-doubling time (PSAdt), time interval from RP to BF (IBF), and pathological features of the original tumour specimen including Gleason score, pathological T stage, extracapsular extension (ECE), seminal vesicle involvement (SVI), surgical margin positivity, and lymph node involvement [17][18][19]. These factors have been used to create risk groups and nomograms predicting postoperative prostate cancer-specific mortality (PCSM); however, such models are unable to predict the site and extent of disease.…”
Section: Introductionmentioning
confidence: 99%