Literature DB >> 12909209

Evaluation of the Houston biochemical relapse definition in men treated with prolonged neoadjuvant and adjuvant androgen ablation and assessment of follow-up lead-time bias.

Tom Pickles1, Charmaine Kim-Sing, W James Morris, Scott Tyldesley, Chuck Paltiel.   

Abstract

PURPOSE: To validate the Houston prostate-specific antigen relapse definition in a mature cohort of men treated with external beam radiotherapy (EBRT) and adjuvant androgen ablation (AA) and men treated with EBRT monotherapy, and to compare these results with the American Society for Therapeutic Radiology and Oncology (ASTRO) and Vancouver prostate-specific antigen relapse (biochemical no evidence of disease) definitions. METHODS AND MATERIALS: A prospective database of 1490 men treated with EBRT, with or without AA, was examined. The impact on hazard proportions, as well as the predictive ability, of the Houston, ASTRO, and Vancouver definitions was tested.
RESULTS: For all patients, the Houston definition was more accurate (79.5%) than the ASTRO (76.7%) or Vancouver (77.2%) definitions in predicting subsequent clinical relapse. The Houston definition was superior to the ASTRO definition in those treated both with and without AA and equivalent to the Vancouver definition in those receiving AA. The Houston definition demonstrated proportional hazards when categorized for the use of AA, unlike the ASTRO and Vancouver definitions. The effect of inadequate follow-up on the projected relapse rates was negligible with the Houston definition.
CONCLUSION: The Houston relapse definition is favored after EBRT monotherapy or combined EBRT and AA. Use of the Cox proportional hazard multivariate analysis is appropriate with the Houston definition, but not with the ASTRO or Vancouver definitions if AA and non-AA patients are combined.

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Year:  2003        PMID: 12909209     DOI: 10.1016/s0360-3016(03)00439-5

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  14 in total

1.  Biochemical control of prostate cancer with iodine-125 brachytherapy alone: experience from a single institution.

Authors:  Larissa Pereira da Ponte Amadei; João Luis Fernandes Silva; Samir Abdallah Hanna; Cecília Maria Kalil Haddad; Adriano João Nesrallah; Heloisa Andrade Carvalho
Journal:  Clin Transl Oncol       Date:  2012-05       Impact factor: 3.405

2.  The pattern of prostate cancer local recurrence after radiation and salvage cryoablation.

Authors:  Chee Kwan Ng; Naji J Touma; Venu Chalasani; Madeleine Moussa; Donal B Downey; Joseph L Chin
Journal:  Can Urol Assoc J       Date:  2011-01-13       Impact factor: 1.862

3.  Radiation dose and late failures in prostate cancer.

Authors:  Peter B Morgan; Alexandra L Hanlon; Eric M Horwitz; Mark K Buyyounouski; Robert G Uzzo; Alan Pollack
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-12-29       Impact factor: 7.038

4.  Clinical outcome of patients treated with 3D conformal radiation therapy (3D-CRT) for prostate cancer on RTOG 9406.

Authors:  Jeff Michalski; Kathryn Winter; Mack Roach; Arnold Markoe; Howard M Sandler; Janice Ryu; Matthew Parliament; James A Purdy; Richard K Valicenti; James D Cox
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-07-01       Impact factor: 7.038

5.  PSA Doubling Time Predicts for the Development of Distant Metastases for Patients Who Fail 3DCRT Or IMRT Using the Phoenix Definition.

Authors:  Tracy L Klayton; Karen Ruth; Mark K Buyyounouski; Robert G Uzzo; Yu-Ning Wong; David Y T Chen; Mark Sobczak; Ruth Peter; Eric M Horwitz
Journal:  Pract Radiat Oncol       Date:  2011

Review 6.  Joint latent class models for longitudinal and time-to-event data: a review.

Authors:  Cécile Proust-Lima; Mbéry Séne; Jeremy M G Taylor; Hélène Jacqmin-Gadda
Journal:  Stat Methods Med Res       Date:  2012-04-19       Impact factor: 3.021

7.  Real-time individual predictions of prostate cancer recurrence using joint models.

Authors:  Jeremy M G Taylor; Yongseok Park; Donna P Ankerst; Cecile Proust-Lima; Scott Williams; Larry Kestin; Kyoungwha Bae; Tom Pickles; Howard Sandler
Journal:  Biometrics       Date:  2013-02-04       Impact factor: 2.571

8.  Joint modelling of longitudinal and multi-state processes: application to clinical progressions in prostate cancer.

Authors:  Loïc Ferrer; Virginie Rondeau; James Dignam; Tom Pickles; Hélène Jacqmin-Gadda; Cécile Proust-Lima
Journal:  Stat Med       Date:  2016-04-18       Impact factor: 2.373

9.  What dose of external-beam radiation is high enough for prostate cancer?

Authors:  Thomas N Eade; Alexandra L Hanlon; Eric M Horwitz; Mark K Buyyounouski; Gerald E Hanks; Alan Pollack
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-03-29       Impact factor: 7.038

10.  Timing of biochemical failure and distant metastatic disease for low-, intermediate-, and high-risk prostate cancer after radiotherapy.

Authors:  Peter B Morgan; Alexandra L Hanlon; Eric M Horwitz; Mark K Buyyounouski; Robert G Uzzo; Alan Pollack
Journal:  Cancer       Date:  2007-07-01       Impact factor: 6.860

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