Literature DB >> 8683695

Prostate specific antigen density versus prostate specific antigen slope as predictors of prostate cancer in men with initially negative prostatic biopsies.

D W Keetch1, J M McMurtry, D S Smith, G L Andriole, W J Catalona.   

Abstract

PURPOSE: We determined if prostate specific antigen (PSA) density and PSA slope alone or in combination could be used to predict which men with persistently elevated serum PSA and prior negative prostate biopsies will have prostate cancer on repeat evaluation.
MATERIALS AND METHODS: In our PSA-1 data base we identified 327 men 50 years old or older with an initially negative prostate biopsy who had persistent PSA elevation, and compared those who did and did not have prostate cancer on subsequent serial prostatic biopsy.
RESULTS: Of 70 men with a PSA density of 0.15 or more and PSA slope of 0.75 ng./ml. or more annually compared to 83 with a PSA density of less than 0.15 and PSA slope of less than 0.75 ng./ml. annually 32 (46%) and only 11 (13%), respectively, had prostate cancer on subsequent prostate biopsies (p < 0.0001). In a hierarchical logistic regression analysis PSA density and PSA slope were predictive of prostate cancer on subsequent biopsy (p = 0.001 and 0.03, respectively). PSA density of 0.15 or more alone or PSA slope of 0.75 ng./ml. or more annually alone as the indicator for repeat biopsy would have missed 35 and 40% of cancers, respectively.
CONCLUSIONS: In men with persistently elevated serum PSA after an initially negative prostate biopsy, PSA density and PSA slope alone or in combination provide useful predictive information about the results of repeat prostate biopsies. However, these parameters are not sufficiently sensitive to identify all patients with detectable prostate cancer.

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Year:  1996        PMID: 8683695     DOI: 10.1097/00005392-199608000-00025

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  7 in total

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3.  A Study of Needle Image Artifact Localization in Confirmation Imaging of MRI-guided Robotic Prostate Biopsy.

Authors:  Sang-Eun Song; Nathan B Cho; Iulian I Iordachita; Peter Guion; Gabor Fichtinger; Louis L Whitcomb
Journal:  IEEE Int Conf Robot Autom       Date:  2011-08-15

Review 4.  Spatial Tracking of Targeted Prostate Biopsy Locations: Moving Towards Effective Focal Partial Prostate Gland Ablation with Improved Treatment Planning.

Authors:  Steven Sidelsky; Shaan Setia; Srinivas Vourganti
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5.  Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy.

Authors:  Juan Morote; Angel Borque-Fernando; Marina Triquell; Anna Celma; Lucas Regis; Richard Mast; Inés M de Torres; María E Semidey; José M Abascal; Pol Servian; Anna Santamaría; Jacques Planas; Luis M Esteban; Enrique Trilla
Journal:  Cancers (Basel)       Date:  2022-05-11       Impact factor: 6.575

6.  Multiparametric magnetic resonance imaging and ultrasound fusion biopsy detect prostate cancer in patients with prior negative transrectal ultrasound biopsies.

Authors:  Srinivas Vourganti; Ardeshir Rastinehad; Nitin Yerram; Jeffrey Nix; Dmitry Volkin; An Hoang; Baris Turkbey; Gopal N Gupta; Jochen Kruecker; W Marston Linehan; Peter L Choyke; Bradford J Wood; Peter A Pinto
Journal:  J Urol       Date:  2012-10-18       Impact factor: 7.450

7.  The Prostate Cancer Detection Rate on the Second Prostate Biopsy according to Prostate-Specific Antigen Trend.

Authors:  Hyung-Sang Kim; Chang-Yong Lee; Dong-Hun Lim; Chul-Sung Kim; Seung Baik
Journal:  Korean J Urol       Date:  2012-10-19
  7 in total

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