Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2003-9-23
pubmed:abstractText
In this prospective study covering 5.5 years we evaluated the diagnostic power of an artificial neural network (ANN) based on PSA, %fPSA, and clinical data in the PSA range 2-20 microg/l as prostate biopsy indicator. A total of 944 patients with prostate cancer or benign hyperplasia (BPH) were analyzed. The calculation of the individual patient's risk before prostate biopsy was performed at the 90% and 95% specificity and sensitivity levels within the PSA ranges 2-4, 4.1-10, and 10.1-20 microg/l. For the low PSA range 2-4 microg/l, we recommend a first time biopsy at an ANN specificity level of 95%. For PSA range 4.1-10 microg/l, we recommend a first time biopsy at an ANN sensitivity level of 95%. A rebiopsy at the PSA range 10.1-20 micro g/l should be performed based on a 95% sensitivity level. The use of an ANN at PSA 2-20 microg/l enhances the specificity and sensitivity of %fPSA by 9-39%. The application of an ANN based on %fPSA and clinical data improves the diagnostic performance compared to %fPSA only.
pubmed:language
ger
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0340-2592
pubmed:author
pubmed:issnType
Print
pubmed:volume
42
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1221-9
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
[An artificial neural network as a tool in risk evaluation of prostate cancer. Indication for biopsy with the PSA range of 2-20 microg/l].
pubmed:affiliation
Klinik und Poliklinik für Urologie, Universitätsklinikum Charité, Humboldt-Universität, Berlin. carsten.stephan@charite.de
pubmed:publicationType
Journal Article, Clinical Trial, English Abstract