Literature DB >> 18765117

The use of prostate-specific antigen kinetics to stratify risk in prostate cancer.

Joseph Presti1.   

Abstract

Risk assessment is critical to providing appropriate counseling and treatment for patients diagnosed with prostate cancer. The three classic clinical parameters to determine risk have been clinical stage, biopsy grade, and prostate-specific antigen (PSA) level. More recently, the importance of PSA kinetics has been realized in the pretreatment and serologic relapse settings. This article reviews the use of PSA velocity and PSA doubling time in several clinical scenarios.

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Year:  2008        PMID： 18765117     DOI： 10.1007/s11934-008-0039-7

Source DB:  PubMed          Journal:  Curr Urol Rep        ISSN： 1527-2737            Impact factor:   3.092


  19 in total

1.  A preoperative nomogram for disease recurrence following radical prostatectomy for prostate cancer.

Authors:  M W Kattan; J A Eastham; A M Stapleton; T M Wheeler; P T Scardino
Journal:  J Natl Cancer Inst       Date:  1998-05-20       Impact factor: 13.506

2.  Pretreatment PSA velocity and risk of death from prostate cancer following external beam radiation therapy.

Authors:  Anthony V D'Amico; Andrew A Renshaw; Brenda Sussman; Ming-Hui Chen
Journal:  JAMA       Date:  2005-07-27       Impact factor: 56.272

3.  Risk of prostate cancer-specific mortality following biochemical recurrence after radical prostatectomy.

Authors:  Stephen J Freedland; Elizabeth B Humphreys; Leslie A Mangold; Mario Eisenberger; Frederick J Dorey; Patrick C Walsh; Alan W Partin
Journal:  JAMA       Date:  2005-07-27       Impact factor: 56.272

4.  Natural history of progression after PSA elevation following radical prostatectomy.

Authors:  C R Pound; A W Partin; M A Eisenberger; D W Chan; J D Pearson; P C Walsh
Journal:  JAMA       Date:  1999-05-05       Impact factor: 56.272

5.  Detection of life-threatening prostate cancer with prostate-specific antigen velocity during a window of curability.

Authors:  H Ballentine Carter; Luigi Ferrucci; Anna Kettermann; Patricia Landis; E James Wright; Jonathan I Epstein; Bruce J Trock; E Jeffrey Metter
Journal:  J Natl Cancer Inst       Date:  2006-11-01       Impact factor: 13.506

6.  Obesity and biochemical outcome following radical prostatectomy for organ confined disease with negative surgical margins.

Authors:  Stephen J Freedland; Martha K Terris; Joseph C Presti; Christopher L Amling; Christopher J Kane; Bruce Trock; William J Aronson
Journal:  J Urol       Date:  2004-08       Impact factor: 7.450

7.  Preoperative PSA velocity and the risk of death from prostate cancer after radical prostatectomy.

Authors:  Anthony V D'Amico; Ming-Hui Chen; Kimberly A Roehl; William J Catalona
Journal:  N Engl J Med       Date:  2004-07-08       Impact factor: 91.245

8.  Impact of obesity on the utility of preoperative prostate-specific antigen velocity to predict for relapse after prostatectomy: a report from the SEARCH database.

Authors:  Christopher R King; Stephen J Freedland; Martha K Terris; Christopher J Kane; Christopher L Amling; William J Aronson; Joseph C Presti
Journal:  Urology       Date:  2007-05       Impact factor: 2.649

9.  Optimal timing, cutoff, and method of calculation of preoperative prostate-specific antigen velocity to predict relapse after prostatectomy: a report from SEARCH.

Authors:  Christopher R King; Stephen J Freedland; Martha K Terris; William J Aronson; Christopher J Kane; Christopher L Amling; Joseph C Presti
Journal:  Urology       Date:  2007-04       Impact factor: 2.649

10.  Impact of obesity on biochemical control after radical prostatectomy for clinically localized prostate cancer: a report by the Shared Equal Access Regional Cancer Hospital database study group.

Authors:  Stephen J Freedland; William J Aronson; Christopher J Kane; Joseph C Presti; Christopher L Amling; David Elashoff; Martha K Terris
Journal:  J Clin Oncol       Date:  2003-12-22       Impact factor: 44.544
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  1 in total

1.  Advancing Traditional Prostate-specific Antigen Kinetics in the Detection of Prostate Cancer: A Machine Learning Model.

Authors:  Marlon Perera; Lewis Smith; Ian Thompson; Geoff Breemer; Nathan Papa; Manish I Patel; Peter Swindle; Elliot Smith
Journal:  Eur Urol Focus       Date:  2021-12-14
  1 in total

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