Literature DB >> 19288576

Patient selection for hemiablative focal therapy of prostate cancer: variables predictive of tumor unilaterality based upon radical prostatectomy.

Thomas J Polascik1, Janice M Mayes, Florian R Schroeck, Leon Sun, John F Madden, Judd W Moul, Vladimir Mouraviev.   

Abstract

BACKGROUND: The application of focal therapy for low-risk prostate cancer (PCa) depended on appropriate patient selection. No definitive criteria existed to characterize patients who may potentially benefit from an organ-sparing approach. We evaluated pretreatment clinical parameters that may predict unilateral PCa amenable to hemigland thermoablation.
METHODS: In total, 538 patients with complete data from the Duke Prostate Center (DPC) Outcomes database with low- to low-intermediate-risk PCa (prostate-specific antigen<10 ng/mL, biopsy Gleason score < or =7, and clinical stage T1c-T2b) treated with radical prostatectomy (RP) were included in the dataset. Patients underwent diagnostic prostate biopsy (PBx) at Duke or community hospitals from 1996 to 2006. Clinical and biopsy parameters were assessed as to the ability to predict PCa unilaterality verified by RP pathology.
RESULTS: The strongest predictor of pathologic unilaterality was PBx unilaterality. The sensitivity and specificity for biopsy unilaterality to predict pathologic unilaterality was 88.4% and 34%, with a positive predictive value of 28% and a negative predictive value of 91%. PBx unilaterality (odds ratio [OR] = 3.88; 95% confidence interval [CI], 2.14-7.05; P < .0005) and negative family history of PCa (OR = 1.83; 95% CI, 1.09-3.05; P = .21) was associated with a higher probability of unilateral disease by multivariate regression.
CONCLUSIONS: Two pretreatment clinical variables were significantly predictive of unilateral PCa: negative family history of PCa and PBx unilaterality. These variables may be used to select men with low- to low-moderate-risk PCa for hemiablation. Further work is necessary to decrease the false-negative and false-positive rates associated with PBx to improve predictability for PCa laterality.

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Year:  2009        PMID: 19288576     DOI: 10.1002/cncr.24258

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  19 in total

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Authors:  Matvey Tsivian; Thomas J Polascik
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Review 3.  Recent advances in imaging-guided interventions for prostate cancers.

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4.  Establishing the distribution of satellite lesions in intermediate- and high-risk prostate cancer: implications for focused radiotherapy.

Authors:  J V Hegde; D J Margolis; P-C Wang; R E Reiter; J Huang; M L Steinberg; M Kamrava
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Review 5.  Value of multiparametric MRI in the work-up of prostate cancer.

Authors:  F Cornud; N B Delongchamps; P Mozer; F Beuvon; A Schull; N Muradyan; M Peyromaure
Journal:  Curr Urol Rep       Date:  2012-02       Impact factor: 3.092

6.  PSA density lower cutoff value as a tool to exclude pathologic upstaging in initially diagnosed unilateral prostate cancer: impact on hemiablative focal therapy.

Authors:  Thomas Hofner; Jesco Pfitzenmaier; Adel Alrabadi; Sascha Pahernik; Boris Hadaschik; Nina Wagener; Nenad Djakovic; Axel Haferkamp; Markus Hohenfellner
Journal:  World J Urol       Date:  2010-12-31       Impact factor: 4.226

7.  Recent advances in focal therapy of prostate and kidney cancer.

Authors:  Matvey Tsivian; Thomas J Polascik
Journal:  F1000 Med Rep       Date:  2010-01-18

Review 8.  Pathologic basis of focal therapy for early-stage prostate cancer.

Authors:  Vladimir Mouraviev; Janice M Mayes; Thomas J Polascik
Journal:  Nat Rev Urol       Date:  2009-04       Impact factor: 14.432

9.  Parameters predicting postoperative unilateral disease in patients with unilateral prostate cancer in diagnostic biopsy: a rationale for selecting hemiablative focal therapy candidates.

Authors:  Stavros Sfoungaristos; Petros Perimenis
Journal:  Can Urol Assoc J       Date:  2013 Jan-Feb       Impact factor: 1.862

10.  Endorectal MRI and MR spectroscopic imaging of prostate cancer: developing selection criteria for MR-guided focal therapy.

Authors:  Stephanie T Chang; Antonio C Westphalen; Priyanka Jha; Adam J Jung; Peter R Carroll; John Kurhanewicz; Fergus V Coakley
Journal:  J Magn Reson Imaging       Date:  2013-05-16       Impact factor: 4.813

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