Literature DB >> 20826095

Predicting biopsy-proven prostate cancer recurrence following cryosurgery.

Jorge R Caso1, Matvey Tsivian, Vladimir Mouraviev, Thomas J Polascik.   

Abstract

OBJECTIVES: Prostate cancer (CaP) cryosurgery utilizes PSA nadir level and radiotherapy criteria as surrogates for success. We attempted to correlate PSA doubling time (PSAdt) and time of undetectable PSA (TUPSA) with biopsy-proven cancer recurrence (BPR) in men treated with primary third-generation cryotherapy for clinically localized CaP.
MATERIALS AND METHODS: Demographic, clinical, and pathologic data was retrieved including age, race, use of preoperative hormones or 5-α reductase inhibitors (5-ARIs), initial biopsy PSA, biopsy Gleason score, cT stage, prostate volume, presence/absence median lobe, and follow-up. Post-cryotherapy biopsy was considered for PSA levels ≥ 0.5 ng/ml. PSAdt was determined by the log-slope method. TUPSA was defined as time from surgery to a PSA value ≥ 0.2 ng/ml or most recent follow-up if undetectable.
RESULTS: Ninety-seven patients were identified. Preoperative hormonal manipulation was used in 25 (26%); 5 (5%) were using a 5-ARI. Twenty-seven (29%) underwent post-cryotherapy biopsy, 12 (12%) had a BPR. In 41 (42%), PSAdt was calculated (median 11.9 months, IQR 6.6-34.8); no significant difference between patients with BPR and without CaP was found (P = 0.46). TUPSA was a median of 4.9 months (IQR 3.2-9.9) vs. 15.6 months (IQR 6.1-30.3) for BPR or no CaP, respectively (P = 0.005). On proportional hazards regression, TUPSA was the only independent predictor of BPR (P = 0.03, OR 0.91).
CONCLUSIONS: Post-cryosurgery PSAdt does not appear to be associated with BPR risk, whereas TUPSA reduces the risk of BPR by 9% per month. This may help guide management if local failure is suspected.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20826095     DOI: 10.1016/j.urolonc.2010.04.001

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  4 in total

1.  Automated computer-derived prostate volumes from MR imaging data: comparison with radiologist-derived MR imaging and pathologic specimen volumes.

Authors:  Julie C Bulman; Robert Toth; Amish D Patel; B Nicolas Bloch; Colm J McMahon; Long Ngo; Anant Madabhushi; Neil M Rofsky
Journal:  Radiology       Date:  2012-01       Impact factor: 11.105

Review 2.  Re-purposing cryoablation: a combinatorial 'therapy' for the destruction of tissue.

Authors:  J G Baust; J C Bischof; S Jiang-Hughes; T J Polascik; D B Rukstalis; A A Gage; J M Baust
Journal:  Prostate Cancer Prostatic Dis       Date:  2015-01-27       Impact factor: 5.554

Review 3.  Cryosurgery would be An Effective Option for Clinically Localized Prostate Cancer: A Meta-analysis and Systematic Review.

Authors:  Liang Gao; Lu Yang; Shengqiang Qian; Zhuang Tang; Feng Qin; Qiang Wei; Ping Han; Jiuhong Yuan
Journal:  Sci Rep       Date:  2016-06-07       Impact factor: 4.379

4.  MRI guided procedure planning and 3D simulation for partial gland cryoablation of the prostate: a pilot study.

Authors:  Nicole Wake; Andrew B Rosenkrantz; Daniel K Sodickson; Hersh Chandarana; James S Wysock
Journal:  3D Print Med       Date:  2020-11-03
  4 in total

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