scholarly journals Performance of prostate health index and PSA density in a diverse biopsy‐naïve cohort with mpMRI for detecting significant prostate cancer

BJUI Compass ◽  
2021 ◽  
Author(s):  
Samuel Carbunaru ◽  
James Stinson ◽  
Rilwan Babajide ◽  
Courtney M. P. Hollowell ◽  
Ximing Yang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Health Index ◽  
Psa Density ◽  
Prostate Health Index ◽  
Prostate Health

Clinical performance of the Prostate Health Index (PHI) for the prediction of prostate cancer in obese men: data from the PROMEtheuS project, a multicentre European prospective study

2015 ◽  
Vol 115 (4) ◽  
pp. 537-545 ◽  
Author(s):  
Alberto Abrate ◽  
Massimo Lazzeri ◽  
Giovanni Lughezzani ◽  
Nicolòmaria Buffi ◽  
Vittorio Bini ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prospective Study ◽  
Clinical Performance ◽  
Health Index ◽  
Prostate Health Index ◽  
Prostate Health

Use of the Prostate Health Index for the Detection of Aggressive Prostate Cancer at Radical Prostatectomy

2015 ◽  
Vol 95 (4) ◽  
pp. 390-399 ◽  
Author(s):  
Luigi Mearini ◽  
Elisabetta Nunzi ◽  
Carla Ferri ◽  
Guido Bellezza ◽  
Carolina Lolli ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Lymph Node ◽  
High Risk ◽  
Radical Prostatectomy ◽  
Gleason Score ◽  
Health Index ◽  
Final Pathology ◽  
High Risk Disease ◽  
Prostate Health Index ◽  
Prostate Health

Introduction: In current study, we compared the accuracy of the PSA isoform p2PSA and its derivatives, the percentage of p2PSA to free PSA (%p2PSA) and the Prostate Health Index (PHI) in the detection of prostate cancer (PC) characteristics at the final pathology with respect to reference standards. Materials and Methods: This was an observational prospective study evaluating 43 consecutive PC patients treated with laparoscopic/robotic radical prostatectomy (RP). Logistic regression models were fitted to test the predictors of pT3 stage, pathologic Gleason score ≥8 or Gleason score upgrading, margin status, lymph node invasion, and the presence of high-risk disease (pT3 disease and/or Gleason score ≥8 and/or positive lymph node). The comparative base model included tPSA, clinical stage, biopsy Gleason score, and percentage of positive core. Results: Seventeen patients (39.5%) were affected by pT3 disease or had a pathologic Gleason score ≥8; positive margins were detected in 12 patients (27.9%), lymph node invasion was found in 2 patients (4.7%), and 15 patients (34.8%) harbored high-risk disease. In the univariate analysis, p2PSA, %p2PSA, and PHI were significant predictors of pT3 disease, pathologic Gleason score, and the presence of high-risk disease (all p < 0.05), whereas only PHI was an independent predictor of pT3 disease, margin status, and presence of high-risk disease, increasing the accuracy of a base multivariable model by 6.3% (p < 0.05) and 4.2% (p < 0.05) for the prediction of pT3 and high-risk disease, respectively. Conclusions: p2PSA and its derivatives, primarily PHI, were significant predictors of unfavorable PC characteristics as detected at the final pathology, thus improving the clinical performance of standard prognostic factors for aggressive disease.

scholarly journals Usefulness of the prostate health index in predicting the presence and aggressiveness of prostate cancer among Korean men: a prospective observational study

BMC Urology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jae Yoon Kim ◽  
Ji Hyeong Yu ◽  
Luck Hee Sung ◽  
Dae Yeon Cho ◽  
Hyun-Jung Kim ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Observational Study ◽  
Prospective Observational Study ◽  
Specific Antigen ◽  
Significant Proportion ◽  
Health Index ◽  
Free Psa ◽  
Prostate Health Index ◽  
Total Psa ◽  
Prostate Health

Abstract Background We aimed to evaluate the usefulness of the Beckman Coulter prostate health index (PHI) and to compare it with total prostate-specific antigen (PSA) levels and related derivatives in predicting the presence and aggressiveness of prostate cancer (PCa) in the Korean population. Methods A total of 140 men who underwent their first prostate biopsy for suspected PCa were included in this prospective observational study. The diagnostic performance of total PSA, free PSA, %free PSA, [–2] proPSA (p2PSA), %p2PSA, and PHI in detecting and predicting the aggressiveness of PCa was estimated using the receiver operating characteristic curve (ROC) and logistic multivariate regression analyses. Results Of 140 patients, PCa was detected in 63 (45%) of participants, and 48 (76.2%) of them had significant cancer with a Gleason score (GS) ≥ 7. In the whole group, the area under the curve (AUC) for ROC analysis of tPSA, free PSA, %fPSA, p2PSA, %p2PSA, and PHI were 0.63, 0.57, 0.69, 0.69, 0.72, and 0.76, respectively, and the AUC was significantly greater in the PHI group than in the tPSA group (p = 0.005). For PCa with GS ≥ 7, the AUCs for tPSA, free PSA, %fPSA, p2PSA, %p2PSA, and PHI were 0.62, 0.58, 0.41, 0.79, 0.86, and 0.87, respectively, and the AUC was significantly greater in the PHI group than in the tPSA group (p < 0.001). In the subgroup with tPSA 4–10 ng/mL, both %p2PSA and PHI were strong independent predictors for PCa (p = 0.007, p = 0.006) and significantly improved the predictive accuracy of a base multivariable model, including age, tPSA, fPSA and %fPSA, using multivariate logistic regression analysis. (p = 0.054, p = 0.048). Additionally, at a cutoff PHI value > 33.4, 22.9% (32/140) of biopsies could be avoided without missing any cases of aggressive cancer. Conclusions This study shows that %p2PSA and PHI are superior to total PSA and %fPSA in predicting the presence and aggressiveness (GS ≥ 7) of PCa among Korean men. Using PHI, a significant proportion of unnecessary biopsies can be avoided.

scholarly journals Comparison Between the Four-kallikrein Panel and Prostate Health Index for Predicting Prostate Cancer

2015 ◽  
Vol 68 (1) ◽  
pp. 139-146 ◽  
Author(s):  
Tobias Nordström ◽  
Andrew Vickers ◽  
Melissa Assel ◽  
Hans Lilja ◽  
Henrik Grönberg ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Health Index ◽  
Prostate Health Index ◽  
Prostate Health
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