2293 [-2]PROPSA (P2PSA) AND ITS DERIVATIVES %P2PSA AND PHI (PROSTATE HEALTH INDEX) IN A REAL CLINICAL SETTING OF CONTEMPORARY MEN UNDERGOING PROSTATE BIOPSY FOR SUSPECTED PROSTATE CANCER. A SINGLE HIGH-VOLUME CENTER EXPERIENCE

2011 ◽  
Vol 185 (4S) ◽  
Author(s):  
Luciano Nava ◽  
Massimo Lazzeri ◽  
Vincenzo Scattoni ◽  
Carmen Maccagnano ◽  
Giovanni Lughezzani ◽  
...  
2013 ◽  
Vol 189 (4S) ◽  
Author(s):  
Vincenzo Scattoni ◽  
Massimo Lazzeri ◽  
Stefano De Luca ◽  
Roberto Passera ◽  
Enrico Bollito ◽  
...  

The Prostate ◽  
2012 ◽  
Vol 73 (3) ◽  
pp. 227-235 ◽  
Author(s):  
Sisto Perdonà ◽  
Dario Bruzzese ◽  
Matteo Ferro ◽  
Riccardo Autorino ◽  
Ada Marino ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yu-Hua Fan ◽  
Po-Hsun Pan ◽  
Wei-Ming Cheng ◽  
Hsin-Kai Wang ◽  
Shu-Huei Shen ◽  
...  

AbstractTo evaluate the performance of the Prostate Health Index (PHI) in magnetic resonance imaging-transrectal ultrasound (MRI-TRUS) fusion prostate biopsy for the detection of clinically significant prostate cancer (csPCa). We prospectively enrolled 164 patients with at least one Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) ≥ 3 lesions who underwent MRI-TRUS fusion prostate biopsy. Of the PSA-derived biomarkers, the PHI had the best performance in predicting csPCa (AUC 0.792, CI 0.707–0.877) in patients with PI-RADS 4/5 lesions. Furthermore, the predictive power of PHI was even higher in the patients with PI-RADS 3 lesions (AUC 0.884, CI 0.792–0.976). To minimize missing csPCa, we used a PHI cutoff of 27 and 7.4% of patients with PI-RADS 4/5 lesions could have avoided a biopsy. At this level, 2.0% of cases with csPCa would have been missed, with sensitivity and NPV rates of 98.0% and 87.5%, respectively. However, the subgroup of PI-RADS 3 was too small to define the optimal PHI cutoff. PHI was the best PSA-derived biomarker to predict csPCa in MRI-TRUS fusion prostate biopsies in men with PI-RADS ≥ 3 lesions, especially for the patients with PI-RADS 3 lesions who gained the most value.


2013 ◽  
Vol 59 (1) ◽  
pp. 280-288 ◽  
Author(s):  
Carsten Stephan ◽  
Klaus Jung ◽  
Axel Semjonow ◽  
Kai Schulze-Forster ◽  
Henning Cammann ◽  
...  

BACKGROUND We compared urinary prostate cancer antigen 3 (PCA3), transmembrane protease, serine 2 (TMPRSS2):v-ets erythroblastosis virus E26 oncogene homolog (avian) (ERG) gene fusion (T2:ERG), and the serum [−2]proprostate-specific antigen ([−2]proPSA)-based prostate health index (Phi) for predicting biopsy outcome. METHODS Serum samples and first-catch urine samples were collected after digital rectal examination (DRE) from consented outpatients with PSA 0.5–20 μg/L who were scheduled for prostate biopsy. The PCA3 score (PROGENSA PCA3, Hologic Gen-Probe) and T2:ERG score (Hologic Gen-Probe) were determined. Measurements of serum PSA, free PSA, and [−2]proPSA (Beckman Coulter) were performed, and the percentages of free PSA (%fPSA) and Phi ([−2]proPSA/fPSA × √PSA) were determined. RESULTS Of 246 enrolled men, prostate cancer (PCa) was diagnosed in 110 (45%) and there was no evidence of malignancy (NEM) in 136 (55%). A first set of biopsies was performed in 136 (55%) of all men, and 110 (45%) had ≥1 repeat biopsies. PCA3, Phi, and T2:ERG differed significantly between men with PCa and NEM, and these markers showed the largest areas under the ROC curve (AUCs) (0.74, 0.68, and 0.63, respectively). PCA3 had the largest AUC of all parameters, albeit not statistically different from Phi. Phi showed somewhat lower specificities than PCA3 at 90% sensitivity. Combination of both markers enhanced diagnostic power with modest AUC gains of 0.01–0.04. Although PCA3 had the highest AUC in the repeat-biopsy cohort, the highest AUC for Phi was observed in DRE-negative patients with PSA in the 2–10 μg/L range. CONCLUSIONS PCA3 and Phi were superior to the other evaluated parameters but their combination gave only moderate enhancements in diagnostic accuracy for PCa at first or repeat prostate biopsy.


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