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Pretreatment Multiparametric Magnetic Resonance Imaging Findings Are More Accurate Independent Predictors of Outcome Than Clinical Variables in Localized Prostate Cancer by Alfonso Gomez-Iturriaga; Francisco Casquero; Jose Ignacio Pijoan; Juanita Crook; Arantza Urresola; Ana Ezquerro; Geert M. Villeirs; Alberto Bossi; Jon Cacicedo; David Buchser; Pedro Bilbao is a Medicine article available to read on EtoBox.

What is Pretreatment Multiparametric Magnetic Resonance Imaging Findings Are More Accurate Independent Predictors of Outcome Than Clinical Variables in Localized Prostate Cancer about?

## Purpose: To prospectively determine whether multiparametric magnetic resonance imaging (mpmri)-based staging is a more accurate independent predictor of outcome than traditional clinical variables for patients undergoing brachytherapy and external beam radiation therapy. ## Methods and materials: The primary endpoints were biochemical (nadir plus 2 ng/ml) and metastatic failure. descriptive, univariate, and multivariate competing risks analyses were performed. the cumulative incidence rates were estimated to describe the cumulative risk of the events of interest. the magnitude of the increased risk was estimated using univariate and multivariate subdistribution hazard ratios. ## Results: A total of 185 patients had undergone prospective treatment (123 with high risk and 62 with intermediate risk). the median age was 71 years (range 56-82). of the patients, 20.5% had mpmri-determined (mrt) stage mrt1-mrt2b, 37.3% had mrt2c, 31% had mrt3a, and 11.2% had mrt3b. the gleason score was 6 in 22.2%, 7 in 49.5%, and 8 to 10 in 28.2%. the median baseline prostate-specific antigen was 11.7 ng/ml (range 2.9-153). after a median follow-up period of 46 months (range 16-70), 15 patients (8.1%)

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Author
Alfonso Gomez-Iturriaga; Francisco Casquero; Jose Ignacio Pijoan; Juanita Crook; Arantza Urresola; Ana Ezquerro; Geert M. Villeirs; Alberto Bossi; Jon Cacicedo; David Buchser; Pedro Bilbao
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 0360-3016)
Published
2018
Language
EN
Field
Medicine (Health Sciences)