TY - JOUR
T1 - The roles of multiparametric magnetic resonance imaging, PCA3 and prostate health index - Which is the best predictor of prostate cancer after a negative biopsy?
AU - Porpiglia, Francesco
AU - Russo, Filippo
AU - Manfredi, Matteo
AU - Mele, Fabrizio
AU - Fiori, Cristian
AU - Bollito, Enrico
AU - Papotti, Mauro
AU - Molineris, Ivan
AU - Passera, Roberto
AU - Regge, Daniele
PY - 2014
Y1 - 2014
N2 - Purpose In patients with a negative prostate biopsy and persistent suspicion of prostate cancer, additional analyses such as the PCA3 score, PHI and multiparametric magnetic resonance imaging have been proposed to reduce the number of unnecessary repeat biopsies. In this study we evaluate the diagnostic accuracy of PCA3, PHI, multiparametric magnetic resonance imaging and various combinations of these tests in the repeat biopsy setting. Materials and Methods A total of 170 patients with an initial negative prostate biopsy and persistent suspicion of prostate cancer were enrolled in this prospective study. The patients underwent measurements of the total prostate specific antigen and free prostate specific antigen rate, along with PHI, PCA3 tests and multiparametric magnetic resonance imaging before standard repeat biopsy that was performed by urologists blinded to the multiparametric magnetic resonance imaging results. Multivariate logistic regression models with various combinations of PCA3, PHI and multiparametric magnetic resonance imaging were used to identify the predictors of prostate cancer with repeat biopsy, and the performance of these models was compared using ROC curves, AUC analysis and decision curve analysis. Results In the ROC analysis the most significant contribution was provided by multiparametric magnetic resonance imaging (AUC 0.936), which was greater than the contribution of the PHI+PCA3 model (p
AB - Purpose In patients with a negative prostate biopsy and persistent suspicion of prostate cancer, additional analyses such as the PCA3 score, PHI and multiparametric magnetic resonance imaging have been proposed to reduce the number of unnecessary repeat biopsies. In this study we evaluate the diagnostic accuracy of PCA3, PHI, multiparametric magnetic resonance imaging and various combinations of these tests in the repeat biopsy setting. Materials and Methods A total of 170 patients with an initial negative prostate biopsy and persistent suspicion of prostate cancer were enrolled in this prospective study. The patients underwent measurements of the total prostate specific antigen and free prostate specific antigen rate, along with PHI, PCA3 tests and multiparametric magnetic resonance imaging before standard repeat biopsy that was performed by urologists blinded to the multiparametric magnetic resonance imaging results. Multivariate logistic regression models with various combinations of PCA3, PHI and multiparametric magnetic resonance imaging were used to identify the predictors of prostate cancer with repeat biopsy, and the performance of these models was compared using ROC curves, AUC analysis and decision curve analysis. Results In the ROC analysis the most significant contribution was provided by multiparametric magnetic resonance imaging (AUC 0.936), which was greater than the contribution of the PHI+PCA3 model (p
KW - biopsy
KW - human
KW - magnetic resonance imaging
KW - prostate cancer antigen 3
KW - prostatic neoplasms
UR - http://www.scopus.com/inward/record.url?scp=84902548325&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902548325&partnerID=8YFLogxK
U2 - 10.1016/j.juro.2014.01.030
DO - 10.1016/j.juro.2014.01.030
M3 - Article
C2 - 24518780
AN - SCOPUS:84902548325
VL - 192
SP - 60
EP - 66
JO - Journal of Urology
JF - Journal of Urology
SN - 0022-5347
IS - 1
ER -