Comparison of methods for prediction of prostate cancer in Turkish men with PSA levels of 0-10 ng/mL

GÜLKESEN K. H., KÖKSAL İ. T., BİLGE U., Saka O.

JOURNAL OF BUON, vol.15, no.3, pp.537-542, 2010 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 15 Issue: 3
  • Publication Date: 2010
  • Journal Name: JOURNAL OF BUON
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.537-542
  • Keywords: decision trees, logistic models, neural networks (computer), prostatic neoplasms, prostate specific antigen, Turkey, ARTIFICIAL NEURAL-NETWORK, REGRESSION-BASED NOMOGRAMS, DIGITAL RECTAL EXAMINATION, JAPANESE POPULATION, ANTIGEN, BIOPSY, VOLUME, SERUM, VALIDATION, STRATIFICATION
  • Akdeniz University Affiliated: Yes

Abstract

Purpose: Several concepts to improve the diagnostic accuracy of prostate specific antigen (PSA) for prediction of prostate cancer have been studied. The aim of this study was to examine and compare the methods used for improving the diagnostic accuracy of PSA in a country with low incidence of prostate cancer