Postoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy.
about
Association of cysteine-rich secretory protein 3 and beta-microseminoprotein with outcome after radical prostatectomyNomograms in oncology: more than meets the eyeCancer/testis antigens: novel tools for discerning aggressive and non-aggressive prostate cancerEmerging critical role of molecular testing in diagnostic genitourinary pathologyCo-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patientsA novel miRNA-based predictive model for biochemical failure following post-prostatectomy salvage radiation therapyDesign of a Global Medical Database which is Searchable by Human Diagnostic PatternsGenomic prostate cancer classifier predicts biochemical failure and metastases in patients after postoperative radiation therapyReporting methods in studies developing prognostic models in cancer: a review.Modeling potential time to event data with competing risks.How to interpret the results of medical time series data analysis: Classical statistical approaches versus dynamic Bayesian network modeling.The effect of race on the discriminatory accuracy of models to predict biochemical recurrence after radical prostatectomy: results from the Shared Equal Access Regional Cancer Hospital and Duke Prostate Center databasesReporting performance of prognostic models in cancer: a review.Postoperative systems models more accurately predict risk of significant disease progression than standard risk groups and a 10-year postoperative nomogram: potential impact on the receipt of adjuvant therapy after surgery.Postoperative prostate-specific antigen nadir improves accuracy for predicting biochemical recurrence after radical prostatectomy: Results from the Shared Equal Access Regional Cancer Hospital (SEARCH) and Duke Prostate Center databases.Derivation of cancer diagnostic and prognostic signatures from gene expression data.Predicting 15-year prostate cancer specific mortality after radical prostatectomy.Incremental value of magnetic resonance imaging in the advanced management of prostate cancer.A group of genome-based biomarkers that add to a Kattan nomogram for predicting progression in men with high-risk prostate cancer.The learning curve for surgical margins after open radical prostatectomy: implications for margin status as an oncological end point.Development of a real-time clinical decision support system upon the Web MVC-based architecture for prostate cancer treatmentProstate cancer postoperative nomogram scores and obesity.Conditional probability of survival nomogram for 1-, 2-, and 3-year survivors after an R0 resection for gastric cancer.Validation of a genomic classifier that predicts metastasis following radical prostatectomy in an at risk patient population.Prediction models in urology: are they any good, and how would we know anyway?Positive surgical margins at radical prostatectomy predict prostate cancer specific mortalityPredictive and prognostic models in radical prostatectomy candidates: a critical analysis of the literature.Copy number alteration burden predicts prostate cancer relapseHigh-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.Critical review of prostate cancer predictive toolsDual inhibition of EGFR and mTOR pathways in small cell lung cancer.What happens after an elevated PSA test: the experience of 13,591 veterans.Surgery confounds biology: the predictive value of stage-, grade- and prostate-specific antigen for recurrence after radical prostatectomy as a function of surgeon experience.Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: a retrospective study.Evaluation of prediction models for the staging of prostate cancer.Use of nomograms for predictions of outcome in patients with advanced bladder cancer.Selecting patients for randomized trials: a systematic approach based on risk group.A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomyImproving prediction of prostate cancer recurrence using chemical imaging.Projecting the clinical benefits of adjuvant radiotherapy versus observation and selective salvage radiotherapy after radical prostatectomy: a decision analysis.
P2860
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P2860
Postoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
Postoperative nomogram predict ...... e after radical prostatectomy.
@ast
Postoperative nomogram predict ...... e after radical prostatectomy.
@en
type
label
Postoperative nomogram predict ...... e after radical prostatectomy.
@ast
Postoperative nomogram predict ...... e after radical prostatectomy.
@en
prefLabel
Postoperative nomogram predict ...... e after radical prostatectomy.
@ast
Postoperative nomogram predict ...... e after radical prostatectomy.
@en
P2093
P2860
P356
P1476
Postoperative nomogram predict ...... e after radical prostatectomy.
@en
P2093
Alwyn Reuther
Andrew J Stephenson
Christopher J DiBlasio
Eric A Klein
Fernando J Bianco
James A Eastham
Michael W Kattan
Peter T Scardino
Zohar A Dotan
P2860
P304
P356
10.1200/JCO.2005.01.867
P407
P577
2005-10-01T00:00:00Z