PURPOSE: The present study aimed to re-stratify patients with high-risk prostate cancer according to the National Comprehensive Cancer Network guidelines among patients who underwent radical prostatectomy (RP). MATERIALS AND METHODS: This study used the Korean Prostate Cancer Database registry and identified 1,060 patients with high-risk prostate cancer who underwent RP between May 2001 and April 2013. All patients were categorized into risk groups, and subgroups were identified according to the type and number of high-risk factors. RESULTS: Of the 1,060 high-risk patients, 599 (56.5%), 408 (38.5%), and 53 (5.0%) had 1, 2, and 3 risk factors, respectively. In multivariate analysis, the Gleason score, percentage of positive biopsy cores, and...
BACKGROUND: Significant clinical heterogeneity within contemporary risk group is well known, particu...
Introduction: We analyzed the biochemical recurrence-free survival (BRFS) of patients with high-risk...
Background Risk prediction models that incorporate biomarkers and clinicopathologic variables may be...
PURPOSE: Studies comparing radical prostatectomy (RP) outcomes with those of radiotherapy with or wi...
Introduction & Objectives : High-risk (HR) prostate cancer (PC) is associated with less favourable b...
Because of the increase in prostate cancer patients, urologists can detect more clinically localized...
Background: The current role of radical prostatectomy (RP) in patients with high-risk disease remain...
Despite the wide application of prostate-specific antigen-based screening leading to a profound stag...
Background:The value of radical prostatectomy (RP) as an approach for very high-risk prostate cancer...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139104/1/pros23436_am.pdfhttps://deepb...
Purpose: Lymph node positive (pN+) prostate cancer after radical prostatectomy has wide variability ...
When making clinical decisions concerning additional treatment for patients who have undergone radic...
Objective: The aim of this study was to assess the surgical outcome of high-grade prostate cancer (P...
PURPOSE: Prostate cancer (PC) is a devastating and heterogeneous condition with diverse treatment op...
A multicenter Korean Prostate Cancer Database (K-CaP) has been established to provide information re...
BACKGROUND: Significant clinical heterogeneity within contemporary risk group is well known, particu...
Introduction: We analyzed the biochemical recurrence-free survival (BRFS) of patients with high-risk...
Background Risk prediction models that incorporate biomarkers and clinicopathologic variables may be...
PURPOSE: Studies comparing radical prostatectomy (RP) outcomes with those of radiotherapy with or wi...
Introduction & Objectives : High-risk (HR) prostate cancer (PC) is associated with less favourable b...
Because of the increase in prostate cancer patients, urologists can detect more clinically localized...
Background: The current role of radical prostatectomy (RP) in patients with high-risk disease remain...
Despite the wide application of prostate-specific antigen-based screening leading to a profound stag...
Background:The value of radical prostatectomy (RP) as an approach for very high-risk prostate cancer...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139104/1/pros23436_am.pdfhttps://deepb...
Purpose: Lymph node positive (pN+) prostate cancer after radical prostatectomy has wide variability ...
When making clinical decisions concerning additional treatment for patients who have undergone radic...
Objective: The aim of this study was to assess the surgical outcome of high-grade prostate cancer (P...
PURPOSE: Prostate cancer (PC) is a devastating and heterogeneous condition with diverse treatment op...
A multicenter Korean Prostate Cancer Database (K-CaP) has been established to provide information re...
BACKGROUND: Significant clinical heterogeneity within contemporary risk group is well known, particu...
Introduction: We analyzed the biochemical recurrence-free survival (BRFS) of patients with high-risk...
Background Risk prediction models that incorporate biomarkers and clinicopathologic variables may be...