Literature DB >> 18341627

The utility of prostate-specific antigen velocity thresholds in clinical practice: a population-based analysis.

David Connolly1, Amanda Black, Liam J Murray, Thiagarajan Nambirajan, Patrick F Keane, Anna Gavin.   

Abstract

OBJECTIVE: To investigate the ability of prostate-specific antigen velocity (PSAV) to predict prostate cancer, and assess the test characteristics of several PSAV thresholds for identifying prostate cancer and high-grade cancers. PATIENTS AND METHODS: From a population-based database of PSA results, men with an initial PSA level of <10.0 ng/mL, taken between I January 1994 and 31 December 2003, were identified. Those with three or more PSA tests before diagnosis, taken over > or =18 months, were included. Men were followed for a diagnosis of prostate cancer or histologically confirmed benign disease until 31 December 2003.
RESULTS: In all, 24 709 men were included, with 716 (2.9%) diagnosed with prostate cancer and 1488 (6.0%) with benign histology. The mean (10.38 vs 0.43 ng/mL/year) and median (1.47 vs 0.03 ng/mL/year) PSAV were considerably higher in men with prostate cancer than in those with no cancer (P < 0.001). There was no PSAV threshold that could reliably identify prostate cancer or high-grade cancers without requiring many men to proceed to prostate biopsy.
CONCLUSION: In this population, PSAV had additional value over one PSA value in identifying men with prostate cancer. Many men with prostate cancer might have a 'normal' (<0.75 ng/mL/year) PSAV. As with total PSA level, there was no PSAV threshold that could reliably predict prostate cancer, but rather a continuum of risk of cancer associated with PSAV level.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18341627     DOI: 10.1111/j.1464-410X.2008.07470.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  3 in total

1.  An examination of the dynamic changes in prostate-specific antigen occurring in a population-based cohort of men over time.

Authors:  Brant A Inman; Jingyu Zhang; Nilay D Shah; Brian T Denton
Journal:  BJU Int       Date:  2012-02-07       Impact factor: 5.588

2.  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

3.  Prostate-specific antigen velocity for early detection of prostate cancer: result from a large, representative, population-based cohort.

Authors:  Andrew J Vickers; Tineke Wolters; Caroline J Savage; Angel M Cronin; M Frank O'Brien; Kim Pettersson; Monique J Roobol; Gunnar Aus; Peter T Scardino; Jonas Hugosson; Fritz H Schröder; Hans Lilja
Journal:  Eur Urol       Date:  2009-08-07       Impact factor: 20.096

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.