Authors: | Touijer, K.; Scardino, P. T. |
Article Title: | Nomograms for staging, prognosis, and predicting treatment outcomes |
Abstract: | Prostate cancer is a heterogeneous disease with a wide prognostic spectrum and a variety of treatment options. Such a complex clinical scenario has led to uncertainty in risk assessment and prediction of outcome. Nomograms have served as scientific formulas designed to maximize the predictive accuracy. The use of nomograms in prostate cancer has been applied to many clinical states and outcomes and has provided the most accurate predictions. © 2009 American Cancer Society. |
Keywords: | cancer survival; treatment outcome; major clinical study; disease course; postoperative period; conference paper; disease free survival; cancer staging; nuclear magnetic resonance imaging; outcome assessment; neoplasm staging; prostate specific antigen; metastasis; clinical assessment; prediction; risk assessment; prostate cancer; prostatic neoplasms; preoperative period; algorithm; prostatectomy; nomograms; disease progression; laboratory test; prostate biopsy; neoplasm metastasis; forecasting; outcome; risk reduction; statistical model; nomogram; digital rectal examination; mathematical analysis |
Journal Title: | Cancer |
Volume: | 115 |
Issue: | SUPPL 13 |
ISSN: | 0008-543X |
Publisher: | Wiley Blackwell |
Date Published: | 2009-07-01 |
Start Page: | 3107 |
End Page: | 3111 |
Language: | English |
DOI: | 10.1002/cncr.24352 |
PUBMED: | 19544538 |
PROVIDER: | scopus |
DOI/URL: | |
Notes: | --- - "Cited By (since 1996): 1" - "Export Date: 30 November 2010" - "CODEN: CANCA" - "Source: Scopus" |