Presalvage prostate‐specific antigen (PSA) and PSA doubling time as predictors of biochemical failure of salvage cryotherapy in patients with locally recurrent prostate cancer after radiotherapy
The University of Texas MD Anderson Cancer Center · California Cancer Associates for Research and Excellence
Abstract
The value of presalvage cryotherapy serum PSA level in predicting biochemical failure in patients with local recurrence of prostate cancer (PCa) after radiotherapy was documented; however, little is known about the predictive value of prostate-specific antigen (PSA) doubling time (DT) in this patient group. The purpose of the current study was to evaluate serum PSA level and PSA DT as predictors of salvage cryotherapy outcomes in patients being treated for postradiotherapy locally recurrent PCa.
The charts of patients treated with salvage cryotherapy were retrospectively reviewed for locally recurrent PCa at the M. D. Anderson Cancer Center from January 1980 to July 2004. Patients who received neoadjuvant or adjuvant hormone therapy were excluded. We assessed pre- and postradiotherapy clinical data, pre- and postsalvage cryotherapy clinical data, and other variables. Kaplan-Meier and log rank tests were performed to assess unadjusted survival probabilities and 2-group survival comparisons, respectively. Cox proportional hazards regression models were used to assess the effect of patient characteristics in predicting overall, disease-specific, and biochemical failure-free survival.
Citation impact
- FWCI
- 80.92
- Percentile
- 100%
- References
- 18
Authors
6- PEPhilippe E. Spiess
The University of Texas MD Anderson Cancer Center
- AKAndrew K. Lee
The University of Texas MD Anderson Cancer Center
- DLDan Leibovici
The University of Texas MD Anderson Cancer Center
- XWXuemei Wang
The University of Texas MD Anderson Cancer Center
- KDKim‐Anh Do
The University of Texas MD Anderson Cancer Center
Topics & keywords
- Medicine
- Cryotherapy
- Prostate-specific antigen
- Prostate cancer
- Radiation therapy
- Proportional hazards model
- Urology
- Internal medicine
- Good health and well-being