PurposeTwo methods widely used to predict the risk of treatment failure after radical prostatectomy for localized prostate cancer are the 3 level D'Amico risk classification and the Kattan nomogram. Although they have been previously validated, to our knowledge they have not been compared in a community based cohort. We tested the 2 instruments in the Cancer of the Prostate Strategic Urologic Research Endeavor (CaPSURE) database, a national registry of patients with prostate cancer, to assess their accuracy in a community based cohort.Materials and methodsMen were invited to join CaPSURE from 33 American urology practices, of which 30 were community based. A total of 1,701 men with localized prostate cancer (T1-3a) were treated with radical...
Current National Comprehensive Cancer Network guidelines recommend postoperative radiation therapy b...
OBJECTIVES: Although the incidence of prostate cancer (PCa) is rapidly increasing in Korea, there ar...
Background Risk prediction models that incorporate biomarkers and clinicopathologic variables may be...
PurposeTwo methods widely used to predict the risk of treatment failure after radical prostatectomy ...
PurposeMultivariate prognostic instruments aim to predict risk of recurrence among patients with loc...
PurposeThe Kattan preoperative nomogram combines preoperative prostate specific antigen (PSA), biops...
BackgroundThe University of California, San Francisco (UCSF) Cancer of the Prostate Risk Assessment ...
WOS: 000274393100041PubMed ID: 19589584OBJECTIVES To examine, in a multicenter validation study desi...
Purpose—To compare the predictive accuracy of existing models in estimating risk of biochemical recu...
Despite the key importance of magnetic resonance imaging (MRI) parameters, risk classification syste...
BackgroundThe authors previously developed and validated the Cancer of the Prostate Risk Assessment ...
BackgroundThe University of California, San Francisco, Cancer of the Prostate Risk Assessment Postsu...
An existing preoperative nomogram predicts the probability of prostate cancer recurrence, defi ned b...
<div><p>Objectives</p><p>Although the incidence of prostate cancer (PCa) is rapidly increasing in Ko...
Background: The Cancer of the Prostate Risk Assessment Post‐Surgical (CAPRA‐S) score is a simple pos...
Current National Comprehensive Cancer Network guidelines recommend postoperative radiation therapy b...
OBJECTIVES: Although the incidence of prostate cancer (PCa) is rapidly increasing in Korea, there ar...
Background Risk prediction models that incorporate biomarkers and clinicopathologic variables may be...
PurposeTwo methods widely used to predict the risk of treatment failure after radical prostatectomy ...
PurposeMultivariate prognostic instruments aim to predict risk of recurrence among patients with loc...
PurposeThe Kattan preoperative nomogram combines preoperative prostate specific antigen (PSA), biops...
BackgroundThe University of California, San Francisco (UCSF) Cancer of the Prostate Risk Assessment ...
WOS: 000274393100041PubMed ID: 19589584OBJECTIVES To examine, in a multicenter validation study desi...
Purpose—To compare the predictive accuracy of existing models in estimating risk of biochemical recu...
Despite the key importance of magnetic resonance imaging (MRI) parameters, risk classification syste...
BackgroundThe authors previously developed and validated the Cancer of the Prostate Risk Assessment ...
BackgroundThe University of California, San Francisco, Cancer of the Prostate Risk Assessment Postsu...
An existing preoperative nomogram predicts the probability of prostate cancer recurrence, defi ned b...
<div><p>Objectives</p><p>Although the incidence of prostate cancer (PCa) is rapidly increasing in Ko...
Background: The Cancer of the Prostate Risk Assessment Post‐Surgical (CAPRA‐S) score is a simple pos...
Current National Comprehensive Cancer Network guidelines recommend postoperative radiation therapy b...
OBJECTIVES: Although the incidence of prostate cancer (PCa) is rapidly increasing in Korea, there ar...
Background Risk prediction models that incorporate biomarkers and clinicopathologic variables may be...