Literature DB >> 14673043

Pretreatment nomogram that predicts 5-year probability of metastasis following three-dimensional conformal radiation therapy for localized prostate cancer.

Michael W Kattan1, Michael J Zelefsky, Patrick A Kupelian, Daniel Cho, Peter T Scardino, Zvi Fuks, Steven A Leibel.   

Abstract

PURPOSE: There are several nomograms for the patient considering radiation therapy for clinically localized prostate cancer. Because of the questionable clinical implications of prostate-specific antigen (PSA) recurrence, its use as an end point has been criticized in several of these nomograms. The goal of this study was to create and to externally validate a nomogram for predicting the probability that a patient will develop metastasis within 5 years after three-dimensional conformal radiation therapy (CRT). PATIENTS AND METHODS: We conducted a retrospective, nonrandomized analysis of 1,677 patients treated with three-dimensional CRT at Memorial Sloan-Kettering Cancer Center (MSKCC) from 1988 to 2000. Clinical parameters examined were pretreatment PSA level, clinical stage, and biopsy Gleason sum. Patients were followed until their deaths, and the time at which they developed metastasis was noted. A nomogram for predicting the 5-year probability of developing metastasis was constructed from the MSKCC cohort and validated using the Cleveland Clinic series of 1,626 patients.
RESULTS: After three-dimensional CRT, 159 patients developed metastasis. At 5 years, 11% of patients experienced metastasis by cumulative incidence analysis (95% CI, 9% to 13%). A nomogram constructed from the data gathered from these men showed an excellent ability to discriminate among patients in an external validation data set, as shown by a concordance index of 0.81.
CONCLUSION: A nomogram with reasonable accuracy and discrimination has been constructed and validated using an external data set to predict the probability that a patient will experience metastasis within 5 years after three-dimensional CRT.

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Year:  2003        PMID: 14673043     DOI: 10.1200/JCO.2003.05.046

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  29 in total

Review 1.  The 'CaP Calculator': an online decision support tool for clinically localized prostate cancer.

Authors:  Matthew S Katz; Jason A Efstathiou; Anthony V D'Amico; Michael W Kattan; Martin G Sanda; Paul L Nguyen; Matthew R Smith; Peter R Carroll; Anthony L Zietman
Journal:  BJU Int       Date:  2010-03-15       Impact factor: 5.588

Review 2.  Predictive and prognostic models in radical prostatectomy candidates: a critical analysis of the literature.

Authors:  Giovanni Lughezzani; Alberto Briganti; Pierre I Karakiewicz; Michael W Kattan; Francesco Montorsi; Shahrokh F Shariat; Andrew J Vickers
Journal:  Eur Urol       Date:  2010-08-06       Impact factor: 20.096

Review 3.  Role of nomograms for prostate cancer in 2007.

Authors:  Felix K-H Chun; Pierre I Karakiewicz; Hartwig Huland; Markus Graefen
Journal:  World J Urol       Date:  2007-02-27       Impact factor: 4.226

4.  Clinical risk-stratification for prostate cancer: Where are we, and where do we need to go?

Authors:  Matthew R Cooperberg
Journal:  Can Urol Assoc J       Date:  2017 Mar-Apr       Impact factor: 1.862

5.  A national survey of radiation oncologists and urologists on prediction tools and nomograms for localized prostate cancer.

Authors:  Boris Gershman; Paul Maroni; Jon C Tilburt; Robert J Volk; Badrinath Konety; Charles L Bennett; Alexander Kutikov; Marc C Smaldone; Victor Chen; Simon P Kim
Journal:  World J Urol       Date:  2019-01-22       Impact factor: 4.226

6.  External validation of the ProCaRS nomograms and comparison of existing risk-stratification tools for localized prostate cancer.

Authors:  David Tiberi; George Rodrigues; Tom Pickles; Jim Morris; Juanita Crook; Andre-Guy Martin; Fabio Cury; Charles Catton; Himu Lukka; Andrew Warner; Daniel Taussky
Journal:  Can Urol Assoc J       Date:  2017 Mar-Apr       Impact factor: 1.862

Review 7.  Critical review of prostate cancer predictive tools.

Authors:  Shahrokh F Shariat; Michael W Kattan; Andrew J Vickers; Pierre I Karakiewicz; Peter T Scardino
Journal:  Future Oncol       Date:  2009-12       Impact factor: 3.404

Review 8.  Use of nomograms as predictive tools in bladder cancer.

Authors:  Ahmad Shabsigh; Bernard H Bochner
Journal:  World J Urol       Date:  2006-11       Impact factor: 4.226

9.  Regarding the focal treatment of prostate cancer: inference of the Gleason grade from magnetic resonance spectroscopic imaging.

Authors:  Ryan S Brame; Marco Zaider; Kristen L Zakian; Jason A Koutcher; Amita Shukla-Dave; Victor E Reuter; Michael J Zelefsky; Peter T Scardino; Hedvig Hricak
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-11-05       Impact factor: 7.038

10.  Prostate cancer risk assessment: choosing the sharpest tool in the shed.

Authors:  Matthew R Cooperberg
Journal:  Cancer       Date:  2008-12-01       Impact factor: 6.860

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