Artigo Revisado por pares

2224 HEAD-TO-HEAD COMPARISON OF PROSTATE HEALTH INDEX AND URINARY PCA3 ASSAY IN PREDICTING PROSTATE CANCER AT INITIAL OR REPEAT PROSTATE BIOPSY

2013; Lippincott Williams & Wilkins; Volume: 189; Issue: 4S Linguagem: Inglês

10.1016/j.juro.2013.02.2133

ISSN

1527-3792

Autores

Vincenzo Scattoni, Massimo Lazzeri, Stefano De Luca, Roberto Passera, Enrico Bollito, Donato Randone, Firas Abdollah, Umberto Capitanio, Carmen Maccagnano, Giorgio Lughezzani, Giuliana Lista, Giulio Maria Gadda, Alessandro Larcher, Francesco Montorsi, Giorgio Guazzoni,

Tópico(s)

Prostate Cancer Diagnosis and Treatment

Resumo

You have accessJournal of UrologyProstate Cancer: Markers (II)1 Apr 20132224 HEAD-TO-HEAD COMPARISON OF PROSTATE HEALTH INDEX AND URINARY PCA3 ASSAY IN PREDICTING PROSTATE CANCER AT INITIAL OR REPEAT PROSTATE BIOPSY Vincenzo Scattoni, Massimo Lazzeri, Stefano De Luca, Roberto Passera, Enrico Bollito, Donato Randone, Firas Abdollah, Umberto Capitanio, Carmen Maccagnano, Giorgio Lughezzani, Giuliana Lista, Giulio Maria Gadda, Alessandro Larcher, Francesco Montorsi, and Giorgio Guazzoni Vincenzo ScattoniVincenzo Scattoni Milan, Italy More articles by this author , Massimo LazzeriMassimo Lazzeri Milan, Italy More articles by this author , Stefano De LucaStefano De Luca Torino, Italy More articles by this author , Roberto PasseraRoberto Passera Torino, Italy More articles by this author , Enrico BollitoEnrico Bollito Torino, Italy More articles by this author , Donato RandoneDonato Randone Torino, Italy More articles by this author , Firas AbdollahFiras Abdollah Milan, Italy More articles by this author , Umberto CapitanioUmberto Capitanio Milan, Italy More articles by this author , Carmen MaccagnanoCarmen Maccagnano Milan, Italy More articles by this author , Giorgio LughezzaniGiorgio Lughezzani Milan, Italy More articles by this author , Giuliana ListaGiuliana Lista Milan, Italy More articles by this author , Giulio Maria GaddaGiulio Maria Gadda Milan, Italy More articles by this author , Alessandro LarcherAlessandro Larcher Milan, Italy More articles by this author , Francesco MontorsiFrancesco Montorsi Milan, Italy More articles by this author , and Giorgio GuazzoniGiorgio Guazzoni Milan, Italy More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.2133AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Prostate Health Index (PHI) and PCA3 have been shown to improve the prediction of prostate cancer (PCa) in men undergoing first and repeat prostate biopsy (PBx). However, a head-to-head comparison of the accuracy of PHI and PCA3 in these two different scenarios has never been performed. METHODS The performance characteristics of Beckman-Coulter PHI using the formula (p2PSA/free PSA) × √total PSA) and Progensa PCA3 were evaluated in a prospective cohort of 211 consecutive European men undergoing first (n=116) or repeat PBx (n=95). Univariable and multivariable logistic regression analysis tested the ability of the potential predictors (PHI, PCA3, age, PSA, %fPSA and prostate volume) of PCa in the initial and the repeat biopsy setting. Discrimination and calibration properties were evaluated for the base model, base model + PHI and base model + PCA3. Finally, we relied on decision curve analysis (DCA) to compare the various models. RESULTS PCa was detected in 34.4% and 31.5% of initial and repeat PBx cohort. Overall, PHI accuracy in predicting PCa resulted significantly higher (0.69) than %FPSA and PCA3 both in the initial (69 vs. 60 vs. 58%) and in the repeat setting (72 vs. 63 vs. 52%). The addition of PHI and PCA3 to the base model (AUC 77%) significantly improved its predictive accuracy (82 and 78%). Conversely, the inclusion of PCA3 to the base model + PHI did not increase predictive accuracy. At DCA, the highest net-benefit was observed when PHI was included in the base model. Adding PCA3 to the base model + PHI did not result in a further improvement of the net-benefit. CONCLUSIONS PHI seems to be the strongest predictor of PCa in the initial as well as in the repeat PBx setting. If PHI is assessed, PCA3 does not increase the accuracy in predicting the presence of PCa in both PBx settings. © 2013 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 189Issue 4SApril 2013Page: e912 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.MetricsAuthor Information Vincenzo Scattoni Milan, Italy More articles by this author Massimo Lazzeri Milan, Italy More articles by this author Stefano De Luca Torino, Italy More articles by this author Roberto Passera Torino, Italy More articles by this author Enrico Bollito Torino, Italy More articles by this author Donato Randone Torino, Italy More articles by this author Firas Abdollah Milan, Italy More articles by this author Umberto Capitanio Milan, Italy More articles by this author Carmen Maccagnano Milan, Italy More articles by this author Giorgio Lughezzani Milan, Italy More articles by this author Giuliana Lista Milan, Italy More articles by this author Giulio Maria Gadda Milan, Italy More articles by this author Alessandro Larcher Milan, Italy More articles by this author Francesco Montorsi Milan, Italy More articles by this author Giorgio Guazzoni Milan, Italy More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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