MRI Fusion-Targeted Transrectal Prostate Biopsy and the Role of Prostate-Specific Antigen Density and Prostate Health Index for the Detection of Clinically Significant Prostate Cancer in Southeast Asian Men

2017 ◽  
Vol 31 (11) ◽  
pp. 1111-1116 ◽  
Author(s):  
Teck Wei Tan ◽  
Keng Siang Png ◽  
Chau Hung Lee ◽  
Arianto Yuwono ◽  
Yuyi Yeow ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Specific Antigen ◽  
Health Index ◽  
Prostate Specific Antigen Density ◽  
Prostate Health Index ◽  
Asian Men ◽  
Transrectal Prostate Biopsy ◽  
Clinically Significant ◽  
Prostate Health

scholarly journals The Percentage of [−2]Pro–Prostate-Specific Antigen and the Prostate Health Index Outperform Prostate-Specific Antigen and the Percentage of Free Prostate-Specific Antigen in the Detection of Clinically Significant Prostate Cancer and Can Be Used as Reflex Tests

2021 ◽  
Author(s):  
Manuel M. Garrido ◽  
José C. Marta ◽  
Rui M. Bernardino ◽  
João Guerra ◽  
Francisco Fernandes ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diagnostic Accuracy ◽  
Prostate Specific Antigen ◽  
Specific Antigen ◽  
Roc Curves ◽  
Nonparametric Tests ◽  
Health Index ◽  
Prostate Health Index ◽  
Clinically Significant ◽  
Prostate Health

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 < .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.

scholarly journals Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection

2021 ◽  
Vol 11 ◽  
Author(s):  
Shih-Ting Chiu ◽  
Yung-Ting Cheng ◽  
Yeong-Shiau Pu ◽  
Yu-Chuan Lu ◽  
Jian-Hua Hong ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Volume ◽  
Univariate Analysis ◽  
Specific Antigen ◽  
Transrectal Ultrasound ◽  
Health Index ◽  
Standard Clinical Practice ◽  
Prostate Health Index ◽  
Clinically Significant ◽  
Prostate Health

BackgroundProstate-specific antigen (PSA) is considered neither sensitive nor specific for prostate cancer (PCa). We aimed to compare total PSA (tPSA), percentage of free PSA (%fPSA), the PSA density (PSAD), Prostate Health Index (PHI), and the PHI density (PHID) to see which one could best predict clinically significant prostate cancer (csPCa): a potentially lethal disease.MethodsA total of 412 men with PSA of 2–20 ng/mL were prospectively included. Serum biomarkers for PCa was collected before transrectal ultrasound guided prostate biopsy. PHI was calculated by the formula: (p2PSA/fPSA) x √tPSA. PHID was calculated as PHI divided by prostate volume measured by transrectal ultrasound.ResultsOf the 412 men, 134 (32.5%) and 94(22.8%) were diagnosed with PCa and csPCa, respectively. We used the area under the receiver operating characteristic curve (AUC) and decision curve analyses (DCA) to compare the performance of PSA related parameters, PHI and PHID in diagnosing csPCa. AUC for tPSA, %fPSA, %p2PSA, PSAD, PHI and PHID were 0.56、0.63、0.76、0.74、0.77 and 0.82 respectively for csPCa detection. In the univariate analysis, the prostate volume, tPSA, %fPSA, %p2PSA, PHI, PSAD, and PHID were all significantly associated with csPCa, and PHID was the most important predictor (OR 1.41, 95% CI 1.15–1.72). Besides, The AUC of PHID was significantly larger than PHI in csPCa diagnosis (p=0.004). At 90% sensitivity, PHID had the highest specificity (54.1%) for csPCa and could reduce the most unnecessary biopsies (43.7%) and miss the fewest csPCa (8.5%) when PHID ≥ 0.67. In addition to AUC, DCA re-confirmed the clinical benefit of PHID over all PSA-related parameters and PHI in csPCa diagnosis. The PHID cut-off value was positively correlated with the csPCa ratio in the PHID risk table, which is useful for evaluating csPCa risk in a clinical setting.ConclusionThe PHID is an excellent predictor of csPCa. The PHID risk table may be used in standard clinical practice to pre-select men at the highest risk of harboring csPCa.

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 Prostate Health Index and Multiparametric MRI: Partners in Crime Fighting Overdiagnosis and Overtreatment in Prostate Cancer

Cancers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 4723
Author(s):  
Matteo Ferro ◽  
Felice Crocetto ◽  
Dario Bruzzese ◽  
Massimo Imbriaco ◽  
Ferdinando Fusco ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Volume ◽  
High Rate ◽  
Health Index ◽  
Positive Biopsy ◽  
Prostate Health Index ◽  
Standard Tool ◽  
Comparable Performance ◽  
Clinically Significant ◽  
Prostate Health

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.

scholarly journals External validation of prostate health index-based nomogram for predicting prostate cancer at extended biopsy

2020 ◽  
Vol 148 (5-6) ◽  
pp. 292-298
Author(s):  
Milorad Stojadinovic ◽  
Damnjan Pantic ◽  
Miroslav Stojadinovic
Keyword(s):  
Prostate Cancer ◽  
Predictive Accuracy ◽  
Characteristic Curve ◽  
External Validation ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Validation Dataset ◽  
Health Index ◽  
Prostate Health Index ◽  
Prostate Health

Introduction/Objective. Prostate Health Index (PHI)-based nomograms were created by Lughezzani et al. (2012) and Zhu et al. (2015) for predicting prostate cancer (PCa) at extended biopsy. The aim of the study was to externally validate two nomograms in the Serbian population. Methods. This retrospective study comprised 71 patients irrespective of digital rectal examination (DRE) findings, with prostate-specific antigen level < 10 ng/ml, who had undergone prostate biopsies, and PHI testing. Data were collected in accordance with previous nomograms predictors. Independent predictors were identified by using logistic regression. The predictive accuracy was measured by the area under the receiver operating characteristic curve (AUC). The calibration belt was used to assess model calibration. The clinical utility was measured by using decision curve analysis (DCA). Results. There were numerous differences in underlying risk factors between validation dataset and previously available data. Analysis demonstrated that the DRE and PHI were independent predictors. AUCs for both nomograms, in patients with normal DRE had shown to have a good discriminatory ability (77.2?86.2%). In the entire population AUC of nomogram had exceptional discrimination (92.9%). Zhu et al. nomogram is associated with lower false positive predictions. The calibration belt for Zhu et al. nomogram was acceptable. Our DCA suggested that both nomograms are likely to be clinically useful. Conclusion. We performed external validation of two PHI-based nomograms predicting the presence of PCa in both the initial and the repeat biopsy setting. The PHI-based nomograms displayed adequate accuracy and justifies its use in Serbian patients.

scholarly journals Preoperative Prostate Health Index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer

2020 ◽  
Author(s):  
Vojtěch Novák ◽  
Štěpán Veselý ◽  
Hana Lukšanová ◽  
Richard Průša ◽  
Otakar Čapoun ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radical Prostatectomy ◽  
Gleason Score ◽  
Specific Antigen ◽  
Surgical Margin ◽  
Positive Surgical Margin ◽  
Health Index ◽  
Cancer Aggressiveness ◽  
Prostate Health Index ◽  
Prostate Health

Abstract Background: We aimed to explore the utility of prostate specific antigen (PSA) isoform [-2]proPSA and its derivatives for prediction of pathological outcome after radical prostatectomy (RP).Methods: Preoperative blood samples were prospectively and consecutively analyzed from 472 patients treated with RP for clinically localized prostate cancer at four medical centers. Measured parameters were PSA, free PSA (fPSA), fPSA/PSA ratio, [-2]proPSA (p2PSA), p2PSA/fPSA ratio and Prostate Health Index (PHI) (p2PSA/fPSA)*√PSA]. Logistic regression models were fitted to determine the accuracy of markers for prediction of pathological Gleason score (GS) ≥7, Gleason score upgrading, extracapsular extension of the tumor (pT3) and the presence of positive surgical margin (PSM). Results: Of 472 patients undergoing RP, 339 (72%) were found to have pathologic GS ≥ 7, out of them 178 (53%) experienced an upgrade from their preoperative GS=6. The findings of pT3 and PSM were present in 132 (28%) and 133 (28%) cases, respectively. At univariable analysis of all the preoperative parameters, PHI was the most accurate predictor of pathological GS ≥7, GS upgrading, pT3 disease and the presence of PSM. Adding of PHI into the base multivariable model increased significantly the accuracy for prediction of pathological GS and GS upgrading by 4.4% (p=0.015) and 5.0% (p=0.025), respectively. Conclusion: We found that PHI provides the highest accuracy in predicting prostate cancer aggressiveness and expansion of the tumor detected at final pathology. The ability of PHI to predict the risk of Gleason score upgrade may help to identify potentially high-risk patients among men with biopsy proven insignificant prostate cancer.

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