Development, Validation, and Head-to-Head Comparison of Logistic Regression-Based Nomograms and Artificial Neural Network Models Predicting Prostate Cancer on Initial Extended Biopsy-Reference-Cited by-同舟云学术

Development, Validation, and Head-to-Head Comparison of Logistic Regression-Based Nomograms and Artificial Neural Network Models Predicting Prostate Cancer on Initial Extended Biopsy

Published:2008-09 Issue:3 Volume:54 Page:601-611
ISSN:0302-2838
Container-title:European Urology
language:en
Short-container-title:European Urology

Author:

Kawakami Satoru,Numao Noboru,Okubo Yuhei,Koga Fumitaka,Yamamoto Shinya,Saito Kazutaka,Fujii Yasuhisa,Yonese Junji,Masuda Hitoshi,Kihara Kazunori,Fukui Iwao

Publisher

Elsevier BV

Subject

Urology

Reference25 articles.

1. Aus G, Abbou CC, Bolla M, et al. EAU guidelines on prostate cancer. Eur Urol 2005;48:546–51. An updated EAU guidelines on prostate cancer. Available at: http://www.uroweb.org/fileadmin/user_upload/Guidelines/07_Prostate_Cancer_2007.pdf. Accessed August 17, 2007.

2. NCCN Practice Guidelines in Oncology – Prostate Cancer Early Detection. v.2.2007. Available at: http://www.nccn.org/professionals/physician_gls/PDF/prostate_detection.pdf. Accessed July 31, 2007.

3. Making the most of six systematic sextant biopsies;Stamey;Urology,1995

4. Systematic 5 region prostate biopsy is superior to sextant method for diagnosing carcinoma of the prostate;Eskew;J Urol,1997

5. Prostate cancer diagnosis using a saturation needle biopsy technique after previous negative sextant biopsies;Stewart;J Urol,2001

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