Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
about
Risk calculators and updated tools to select and plan a repeat biopsy for prostate cancer detectionProstate Cancer Prevention Trial risk calculator 2.0 for the prediction of low- vs high-grade prostate cancer.A panel of kallikrein markers can predict outcome of prostate biopsy following clinical work-up: an independent validation study from the European Randomized Study of Prostate Cancer screening, FranceThe Xu's chart for prostate biopsy: a visual presentation of the added value of biomarkers to prostate-specific antigen for estimating detection rates of prostate cancer.The novel prostate cancer antigen 3 (PCA3) biomarker.Novel diagnostic biomarkers for prostate cancer.Projecting Benefits and Harms of Novel Cancer Screening Biomarkers: A Study of PCA3 and Prostate Cancer.Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy.Prostate cancer risk prediction in a urology clinic in Mexico.The risk of biopsy-detectable prostate cancer using the prostate cancer prevention Trial Risk Calculator in a community settingEvaluating the PCPT risk calculator in ten international biopsy cohorts: results from the Prostate Biopsy Collaborative Group.Updating risk prediction tools: a case study in prostate cancer.Incorporation of detailed family history from the Swedish Family Cancer Database into the PCPT risk calculatorBiomarkers in prostate cancer surveillance and screening: past, present, and future.Making the case for molecular staging of malignant pleural mesothelioma.Optimising repeat prostate biopsy decisions and procedures.Risk stratification in prostate cancer screening.PCA3 in the detection and management of early prostate cancer.Risk-based prostate cancer screening: who and how?Recommendations from the EGAPP Working Group: does PCA3 testing for the diagnosis and management of prostate cancer improve patient health outcomes?How accurate is our prediction of biopsy outcome? PCA3-based nomograms in personalized diagnosis of prostate cancer.Prostate cancer: measuring PSA.The role of biomarkers in the assessment of prostate cancer risk prior to prostate biopsy: which markers matter and how should they be used?Do prostate cancer risk models improve the predictive accuracy of PSA screening? A meta-analysis.Current biomarkers for diagnosing of prostate cancer.The prognostic value of stromal FK506-binding protein 1 and androgen receptor in prostate cancer outcome.External validation of a PCA-3-based nomogram for predicting prostate cancer and high-grade cancer on initial prostate biopsy.Comparison of approaches for incorporating new information into existing risk prediction models.Utility of PCA3 in patients undergoing repeat biopsy for prostate cancer.The use of the finasteride-adjusted Prostate Cancer Prevention Trial Prostate Cancer Risk Calculator in a Mexican referral population: a validation study.Prostate cancer antigen-3 (PCA3) and PCA3-based nomograms in the diagnosis of prostate cancer: an external validation of Hansen's nomogram on a Norwegian cohort.PCA3-based nomogram for predicting prostate cancer and high grade cancer on initial transrectal guided biopsy.PCA3 and PCA3-based nomograms improve diagnostic accuracy in patients undergoing first prostate biopsy.Evaluation of the Prostate Cancer Prevention Trial Risk calculator in a high-risk screening population.Prognostic value of urinary prostate cancer antigen 3 (PCA3) during active surveillance of patients with low-risk prostate cancer receiving 5α-reductase inhibitors.RankProd Combined with Genetic Algorithm Optimized Artificial Neural Network Establishes a Diagnostic and Prognostic Prediction Model that Revealed C1QTNF3 as a Biomarker for Prostate Cancer.
P2860
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P2860
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
description
2008 nî lūn-bûn
@nan
2008 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
@ast
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
@en
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
@nl
type
label
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
@ast
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
@en
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
@nl
prefLabel
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
@ast
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
@en
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
@nl
P2093
P1476
Predicting prostate cancer risk through incorporation of prostate cancer gene 3.
@en
P2093
Brad H Pollock
Cathy Tangen
Dipen Parekh
Harry Rittenhouse
Ian Thompson
Jack Groskopf
John R Day
Robin J Leach
P304
1303-8; discussion 1308
P356
10.1016/J.JURO.2008.06.038
P407
P577
2008-08-15T00:00:00Z