scholarly journals MP30-15 THE COMBINATION OF PROSTATE HEALTH INDEX (PHI) AND MULTIPARAMETRIC MRI PROSTATE IMPROVES THE DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER (CSPCA): A MULTICENTRE EVALUATION

2021 ◽  
Vol 206 (Supplement 3) ◽  
Author(s):  
Peter Ka-Fung Chiu ◽  
Jeffrey J Leow ◽  
Chih-Hung Chiang ◽  
Po-Fan Hsieh ◽  
Wayne Lam ◽  
...  
Cancers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 4723
Author(s):  
Matteo Ferro ◽  
Felice Crocetto ◽  
Dario Bruzzese ◽  
Massimo Imbriaco ◽  
Ferdinando Fusco ◽  
...  

Widespread use of PSA as the standard tool for prostate cancer (PCa) diagnosis led to a high rate of overdiagnosis and overtreatment. In this study, we evaluated the performance of the prostate health index (PHI) and multiparametric magnetic resonance imaging (mpMRI) for the prediction of positive biopsy and of high-grade PCa at radical prostatectomy (RP). To this end, we prospectively enrolled 196 biopsy-naïve patients who underwent mpMRI. A subgroup of 116 subjects with biopsy-proven PCa underwent surgery. We found that PHI significantly outperformed both PI-RADS score (difference in AUC: 0.14; p < 0.001) and PHI density (difference in AUC: 0.08; p = 0.002) in the ability to predict positive biopsy with a cut-off value of 42.7 as the best threshold. Conversely, comparing the performance in the identification of clinically significant prostate cancer (csPCa) at RP, we found that PHI ≥61.68 and PI-RADS score ≥4 were able to identify csPCa (Gleason score ≥7 (3 + 4)) both alone and added to a base model including age, PSA, fPSA-to-tPSA ratio and prostate volume. In conclusion, PHI had a better ability than PI-RADS score to predict positive biopsy, whereas it had a comparable performance in the identification of pathological csPCa.


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.


Author(s):  
Manuel M. Garrido ◽  
José C. Marta ◽  
Rui M. Bernardino ◽  
João Guerra ◽  
Francisco Fernandes ◽  
...  

Context.— There is a need to avoid the overdiagnosis of prostate cancer (PCa) and to find more specific biomarkers. Objective.— To evaluate the clinical utility of [−2]pro–prostate-specific antigen ([−2]proPSA) derivatives in detecting clinically significant PCa (csPCa) and to compare it with prostate-specific antigen (PSA) and with the percentage of free PSA (%fPSA). Design.— Two hundred thirty-seven men (PSA: 2–10 ng/mL) scheduled for a prostate biopsy were enrolled. Parametric and nonparametric tests, receiver operating characteristic (ROC) curves, and logistic regression analysis were applied. Outcomes were csPCa and overall PCa. Results.— Both [−2]proPSA derivatives were significantly higher in csPCa and overall PCa (P &lt; .001). The areas under the curves for the prediction of csPCa were higher for the percentage of [−2]proPSA (%[−2]proPSA) (0.781) and the prostate health index (PHI) (0.814) than for PSA (0.651) and %fPSA (0.724). There was a gain of 11% in diagnostic accuracy when %[−2]proPSA or PHI were added to a base model with PSA and %fPSA. Twenty-five percent to 29% of biopsies could have been spared with %[−2]proPSA (cutoff: ≥1.25%) and PHI (cutoff: ≥27), missing 10% of csPCa's. The same results could have been achieved by using [−2]proPSA as a reflex test, when %fPSA was 25% or less (cutoffs: ≥1.12% and ≥24 for %[−2]proPSA and PHI, respectively). Conclusions.— The [−2]proPSA derivatives improve the diagnostic accuracy of csPCa, when the PSA value is between 2 and 10 ng/mL, allowing to spare unnecessary biopsies and to select patients for active surveillance. [−2]proPSA can be used as a reflex test when %fPSA is 25% or less, without reducing the diagnostic accuracy for csPCa and the number of spared biopsies.


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