Literature DB >> 16800743

Improved prostate cancer detection with a human kallikrein 11 and percentage free PSA-based artificial neural network.

Carsten Stephan1, Hellmuth-Alexander Meyer, Henning Cammann, Terukazu Nakamura, Eleftherios P Diamandis, Klaus Jung.   

Abstract

Human kallikrein 11 (hK11) was evaluated in a percentage free PSA-based artificial neural network (ANN) to reduce unnecessary prostate biopsies. Serum samples from 357 patients with (n=132) and without (n=225) prostate cancer (PCa) were analyzed and ANN models were constructed and compared to all parameters. The discriminatory power of hK11 was lower than that of PSA, but receiver operator characteristic (ROC) analyses demonstrated significantly larger areas under the curves for the ANN compared to all other parameters. ANNs with hK11 may lead to a further reduction in unnecessary prostate biopsies, especially when analyzing patients with less than 15% free PSA.

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Year:  2006        PMID: 16800743     DOI: 10.1515/BC.2006.101

Source DB:  PubMed          Journal:  Biol Chem        ISSN: 1431-6730            Impact factor:   3.915


  4 in total

1.  [New serum markers in prostate carcinoma and their application to artificial neural networks].

Authors:  C Stephan; K Jung; H Cammann; J Kramer; G Kristiansen; S A Loening; M Lein
Journal:  Urologe A       Date:  2007-09       Impact factor: 0.639

Review 2.  Artificial neural networks and prostate cancer--tools for diagnosis and management.

Authors:  Xinhai Hu; Henning Cammann; Hellmuth-A Meyer; Kurt Miller; Klaus Jung; Carsten Stephan
Journal:  Nat Rev Urol       Date:  2013-02-12       Impact factor: 14.432

3.  Diagnostic accuracy of the RBANS in mild cognitive impairment: limitations on assessing milder impairments.

Authors:  Kevin Duff; Valerie L Hobson; Leigh J Beglinger; Sid E O'Bryant
Journal:  Arch Clin Neuropsychol       Date:  2010-06-21       Impact factor: 2.813

4.  A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology.

Authors:  Hesham Salem; Daniele Soria; Jonathan N Lund; Amir Awwad
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-22       Impact factor: 2.796

  4 in total

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