Purpose: Gleason grading is the strongest predictor of prostate cancer outcome and commonly used to decide for or against the different treatment options. However, Gleason upgrading between systematic transrectal ultrasound-guided prostate biopsy (TRUS-GB) and radical prostatectomy (RPE) has frequently been observed. With respect to the high accuracy of multiparametric MRI (mpMRI) for high-grade cancers and the higher percentage of cancer involvement per biopsy core in targeted MR-guided prostate biopsy (MR-GB), we hypothesized that MR-GB reduces the risk of Gleason upgrading on RPE as compared to the gold standard. The purpose of this study was to compare the rate of Gleason upgrading on RPE for MR-GB, TRUS-GB, and the combination of both biopsy modalities.
Methods: Overall, 52 consecutive patients with RPE had received an mpMRI of the prostate and subsequently underwent targeted MR-GB prior to surgery. All patients underwent an additional TRUS-GB during the same biopsy session. Gleason grading was measured by two different methods: the conventional Gleason score (cGS = primary + secondary pattern) and the highest Gleason pattern (hGP).
Results: In relation to TRUS-GB, MR-GB alone showed lower rates of upgrading when comparing the cGS (40.4 vs. 50.0 %) and the hGP (21.2 vs. 32.7 %). The combination of MR-GB and TRUS-GB showed the lowest rates of upgrading (cGS: 28.8 %; hGP: 11.5 %), and compared to TRUS-GB, significantly reduced the risk of upgrading for both measurements of Gleason grading (cGS: OR 0.41, 95 % CL 0.18-0.91, p = 0.0289; hGP: OR 0.27, 95 % CL 0.10-0.75, p = 0.0123).
Conclusion: MpMRI and targeted MR-GB are useful tools to better characterize and stage the extent of disease, and therefore enable the urologist to better risk-stratify and counsel the patient. The combined use of targeted MR-GB and TRUS-GB presents the least risk of Gleason underestimation.
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http://dx.doi.org/10.1007/s00432-015-1991-5 | DOI Listing |
Introduction: The occurrence of Gleason grade group upgrading (GGU) significantly impacts both treatment strategy development. We aim to develop an optimal predictive model to assess the risk of GGU in patients with localized prostate cancer (PCa), by comparing traditional logistic regression (LR) with seven machine learning algorithms.
Methods: A retrospective collection of clinical data was conducted on patients who underwent RP at Wuhan Central Hospital (January 2017 to December 2023, n=177) and Jiangxi Cancer Hospital (July 2019 to February 2024, n=87).
Acad Radiol
December 2024
Department of Urology, Urology Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou 35005, China (W-Q.L., Y.W., Z-B.K., B.L., X-H.W., X-Y.H., Z-J.C., J-Y.C., S-H.C., Y-T.X., F.L., D-N.C., Q-S.Z., X-Y.X., N.X.); Department of Urology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China (W-Q.L., Y.W., Z-B.K., B.L., X-H.W., X-Y.H., Z-J.C., J-Y.C., S-H.C., Y-T.X., F.L., D-N.C., Q-S.Z., X-Y.X., N.X.); Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China (X-Y.X., N.X.). Electronic address:
Rationale And Objectives: To assess the predictive value of MRI-based radiomics of periprostatic fat (PPF) and tumor lesions for predicting Gleason score (GS) upgrading from biopsy to radical prostatectomy (RP) in prostate cancer (PCa).
Methods: A total of 314 patients with pathologically confirmed prostate cancer (PCa) after radical prostatectomy (RP) were included in the study. The patients were randomly assigned to the training cohort (n = 157) and the validating cohort (n = 157) in a 1:1 ratio.
Urol Oncol
December 2024
Department of Urology, Yale School of Medicine, New Haven, CT; Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT; Yale Cancer Outcomes, Public Policy and Effectiveness Research Center, New Haven, CT. Electronic address:
Background And Objective: As most Prostate Imaging Reporting and Data System (PI-RADS) 5 lesions on MRI harbor Gleason grade (GG) group ≥2 disease on biopsy, optimal management of patients with imaging-biopsy discordance remains unclear. To estimate grade misclassification, we evaluated the incidence of Gleason upgrading among patients with GG1 disease in the setting of a PI-RADS 5 lesion.
Methods: We conducted a single-institution retrospective analysis to identify patients with GG1 prostate cancer on fusion biopsy with MRI demonstrating ≥1 PI-RADS 5 lesion.
JAMA Oncol
December 2024
Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.
Importance: Active surveillance is the preferred management strategy for patients with low- or favorable intermediate-risk prostate cancer (PCa); however, frequent health care visits can be costly and burdensome to patients. Identifying patients who may benefit from intensive vs passive surveillance could reduce these burdens.
Objective: To investigate associations between a polygenic risk score (PRS) and risk of upgrading and other prostate tumor features in patients receiving active surveillance.
Prostate
December 2024
Urology Department, Instituto do Câncer do Estado de São Paulo, São Paulo, Brazil.
Background: Our study aimed to correlate ERG and PTEN expressions in prostate biopsy with multiparametric magnetic resonance imaging PI-RADS score, clinical reclassification, and prognosis of very low-risk prostate cancer (PCa) patients under active surveillance (AS).
Methods: We evaluated 101 very low-risk PCa patients under AS between 2013 and 2018. They were followed with DRE, PSA, MRI, and re-biopsies every 1-2 years.
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