Predictive models and risk of biopsy progression in active surveillance patients

Abstract Objective To analyze the performance of different radical prostatectomy–based prognostic tools in predicting the biopsy progression in our active surveillance cohort. Materials and methods We analyzed 326 patients with biopsy Gleason grade≤6,≤2 positive biopsy cores,≤20% tumor present in an...

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Bibliographic Details
Published in:Urologic oncology 2017-02, Vol.35 (2), p.37.e1-37.e8
Main Authors: Iremashvili, Viacheslav, M.D., Ph.D, Manoharan, Murugesan, M.D, Kava, Bruce R., M.D, Parekh, Dipen J., M.D, Punnen, Sanoj, M.D., M.P.H
Format: Article
Language:English
Subjects:
Active surveillance
Adult
Aged
Biopsy
Disease Progression
Humans
Kaplan-Meier Estimate
Logistic Models
Male
Middle Aged
Neoplasm Grading
Neoplasm Staging
Nomogram
Nomograms
Outcome Assessment (Health Care) - methods
Outcome Assessment (Health Care) - statistics & numerical data
Proportional Hazards Models
Prostate - pathology
Prostate - surgery
Prostate biopsy
Prostate cancer
Prostate-specific antigen
Prostatectomy - methods
Prostatectomy - statistics & numerical data
Prostatic Neoplasms - pathology
Prostatic Neoplasms - surgery
Risk Factors
Urology
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Summary:Abstract Objective To analyze the performance of different radical prostatectomy–based prognostic tools in predicting the biopsy progression in our active surveillance cohort. Materials and methods We analyzed 326 patients with biopsy Gleason grade≤6,≤2 positive biopsy cores,≤20% tumor present in any core, prostate-specific antigen
ISSN:1078-1439
1873-2496
DOI:10.1016/j.urolonc.2016.08.015