Literature DB >> 10737484

Optimal predictors of prostate cancer on repeat prostate biopsy: a prospective study of 1,051 men.

B Djavan1, A Zlotta, M Remzi, K Ghawidel, A Basharkhah, C C Schulman, M Marberger.   

Abstract

PURPOSE: We compare the ability of total prostate specific antigen (PSA), percent free PSA, PSA density and transition zone PSA density to predict the outcome of repeat prostatic biopsy in men with serum total PSA 4 to 10 ng./ml. who were diagnosed with benign prostatic hyperplasia after initial biopsy.
MATERIALS AND METHODS: In this prospective study 1,051 men with total PSA 4 to 10 ng./ml. underwent transrectal ultrasound guided sextant biopsy with 2 additional transition zone biopsies. In 254 subjects biopsy specimens were also obtained from suspicious areas identified during transrectal ultrasound and digital rectal examination. All subjects with biopsy specimens negative for prostate cancer underwent repeat biopsy 6 weeks after initial biopsy. The ability of total PSA, percent free PSA, PSA density and transition zone PSA density to improve the diagnostic power of PSA testing was assessed with univariate and multivariate analyses as well as receiver operating characteristics (ROC) curves.
RESULTS: Initial biopsy was positive (prostate cancer) in 231 and negative (benign prostatic hyperplasia) in 820 of the 1,051 subjects. Prostate cancer was detected on repeat biopsy in 10% of subjects (83 of 820) with negative initial biopsy. Percent free PSA and transition zone PSA density were the most accurate predictors of prostate cancer in these subjects. At a cutoff of 30% percent free PSA would have detected 90% of cancers (sensitivity) and eliminated 50% of unnecessary repeat biopsies (specificity). Sensitivity and specificity of transition zone PSA density at a cutoff of 0.26 ng./ml./cc was 78% and 52%, respectively. ROC curve analysis also showed that percent free PSA was a significantly better predictor of repeat biopsy results than total PSA, PSA density and transition zone PSA density. The area under the ROC curve was 74.5% for percent free PSA, 69.1% for transition zone PSA density, 61.8% for PSA density and 60.3% for total PSA.
CONCLUSIONS: At least 10% of patients with negative initial prostatic biopsy results will be diagnosed with prostate cancer on repeat biopsy. Percent free PSA and transition zone PSA density enhance the specificity of PSA testing compared to total PSA or PSA density when determining which patients should undergo repeat biopsy. Repeat biopsy should be performed in patients with percent free PSA less than 30% or transition zone PSA density 0.26 ng./ml./cc or greater. In our study percent free PSA was the most accurate predictor of prostate cancer in repeat biopsy specimens.

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Year:  2000        PMID: 10737484

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


  64 in total

1.  Early detection and aggressive treatment of prostate cancer: groping in the dark.

Authors:  M J Barry
Journal:  J Gen Intern Med       Date:  2000-10       Impact factor: 5.128

2.  Prostate-specific antigen testing. Should we recommend it?

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Journal:  Can Fam Physician       Date:  2003-03       Impact factor: 3.275

3.  Evaluation of GSTP1 and APC methylation as indicators for repeat biopsy in a high-risk cohort of men with negative initial prostate biopsies.

Authors:  Bruce J Trock; Michelle J Brotzman; Leslie A Mangold; Joseph W Bigley; Jonathan I Epstein; David McLeod; Eric A Klein; J Stephen Jones; Songbai Wang; Theresa McAskill; Jyoti Mehrotra; Bhargavi Raghavan; Alan W Partin
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Review 4.  The role of prostate specific antigen in screening and management of clinically localized prostate cancer.

Authors:  Khurshid Guru; Ashutosh Tewari; Ashok K Hemal; John Wei; Javid Javidan; James Peabody; Mani Menon
Journal:  Int Urol Nephrol       Date:  2003       Impact factor: 2.370

Review 5.  The technique of ultrasound guided prostate biopsy.

Authors:  Imre Romics
Journal:  World J Urol       Date:  2004-09-29       Impact factor: 4.226

6.  Risk factors for prostate cancer detection after a negative biopsy: a novel multivariable longitudinal approach.

Authors:  Peter H Gann; Angela Fought; Ryan Deaton; William J Catalona; Edward Vonesh
Journal:  J Clin Oncol       Date:  2010-02-22       Impact factor: 44.544

7.  Artificial neural networks for decision-making in urologic oncology.

Authors:  Theodore Anagnostou; Mesut Remzi; Bob Djavan
Journal:  Rev Urol       Date:  2003

8.  Laparoscopic prostatectomy: where do we stand?

Authors:  Mesut Remzi; Bob Djavan
Journal:  Rev Urol       Date:  2002

Review 9.  Contrast specific imaging in the detection and localization of prostate cancer.

Authors:  Hessel Wijkstra; Margot H Wink; Jean J M C H de la Rosette
Journal:  World J Urol       Date:  2004-10-05       Impact factor: 4.226

Review 10.  Contemporary issues in the diagnosis of prostate cancer for the radiologist.

Authors:  Richard Clements
Journal:  Eur Radiol       Date:  2006-04-01       Impact factor: 5.315

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