Skip to main content
Log in

Neue Serummarker des Prostatakarzinoms und ihr Einsatz in artifiziellen neuronalen Netzwerken (ANN)

  • Leitthema
  • Published:
Der Urologe Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Abb. 1

Literatur

  1. Catalona WJ, Partin AW, Slawin KM et al. (1998) Use of the percentage of free prostate-specific antigen to enhance differentiation of prostate cancer from benign prostatic disease: a prospective multicenter clinical trial. JAMA 279: 1542–1547

    Article  PubMed  CAS  Google Scholar 

  2. Finne P, Finne R, Auvinen A et al. (2000) Predicting the outcome of prostate biopsy in screen-positive men by a multilayer perceptron network. Urology 56: 418–422

    Article  PubMed  CAS  Google Scholar 

  3. Stephan C, Cammann H, Jung K (2005) Artificial neural networks: has the time come for their use in prostate cancer patients? Nat Clin Pract Urol 2: 262–263

    Article  PubMed  Google Scholar 

  4. Stephan C, Cammann H, Meyer HA et al. (2007) PSA and new biomarkers within multivariate models to improve early detection of prostate cancer. Cancer Lett 249: 18–29

    Article  PubMed  CAS  Google Scholar 

  5. Stephan C, Cammann H, Semjonow A et al. (2002) Multicenter evaluation of an artificial neural network to increase prostate cancer detection rate and reduce unnecessary biopsies. Clin Chem 48: 1279–1287

    PubMed  CAS  Google Scholar 

  6. Stephan C, Jung K, Cammann H et al. (2002) An artificial neural network considerably improves the diagnostic power of percent free prostate-specific antigen in prostate cancer diagnosis – results of a five year investigation. Int J Cancer 99: 466–473

    Article  PubMed  CAS  Google Scholar 

  7. Stephan C, Jung K, Soosaipillai A et al. (2005) Clinical utility of human glandular kallikrein 2 within a neural network for prostate cancer detection. BJU Int 96: 521–527

    Article  PubMed  CAS  Google Scholar 

  8. Stephan C, Klaas M, Müller C et al. (2006) Interchangeability of measurements of total and free prostate-specific antigen in serum with 5 frequently used assay combinations: an update. Clin Chem 52: 59–64

    Article  PubMed  CAS  Google Scholar 

  9. Stephan C, Meyer H-A, Cammann H et al. (2006) Improved prostate cancer detection with a human kallikrein 11 and percent free PSA based artificial neural network. Biol Chem 387: 801–805

    Article  PubMed  CAS  Google Scholar 

  10. Stephan C, Meyer H-A, Kwiatkowski M et al. (2006) A (-5, -7) pro PSA based artificial neuronal network to detect prostate cancer. Eur Urol 50: 1014–1020

    Article  PubMed  Google Scholar 

  11. Stephan C, Xu C, Brown DA et al. (2006) Three new serum markers for prostate cancer detection within a percent free PSA-based artificial neural network. Prostate 66: 651–659

    Article  PubMed  CAS  Google Scholar 

  12. Stephan C, Xu C, Cammann H et al. (2007) Assay-specific artificial neural networks for five different PSA assays and populations with PSA 2–10 ng/ml in 4480 men. World J Urol 25: 95–103

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. Stephan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Stephan, C., Jung, K., Cammann, H. et al. Neue Serummarker des Prostatakarzinoms und ihr Einsatz in artifiziellen neuronalen Netzwerken (ANN). Urologe 46, 1084–1086 (2007). https://doi.org/10.1007/s00120-007-1435-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00120-007-1435-1

Navigation