期刊
CANCER LETTERS
卷 249, 期 1, 页码 18-29出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.canlet.2006.12.031
关键词
prostate cancer; prostate-specific antigen; receiver operating characteristic curve; artificial neural network; logistic regression; prostate biopsy
类别
This review gives an overview of the use of prostate-specific antigen (PSA) and percent free-PSA (%fPSA)-based artificial neural networks (ANNs) and logistic regression models (LR) to reduce unnecessary prostate biopsies. There is a clear advantage in including clinical data such as age, digital rectal examination and transrectal ultrasound (TRUS) variables like prostate volume and PSA density as additional factors to tPSA and %fPSA within ANNs and LR models. There is also positive impact of tPSA and fPSA assays on the outcome of ANNs. New markers provide additional value within ANNs but to prove their clinical usefulness further testing is necessary. (C) 2007 Elsevier Ireland Ltd. All rights reserved.
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