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 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.

PHI (Prostate Health Index) as a predictor of positive biopsy in prostate cancer: Results from multicentric study

2017 ◽  
Vol 16 (11) ◽  
pp. e2873
Author(s):  
O. Dolejšová ◽  
V. Eret ◽  
H. Svobodová ◽  
O. Topolčan ◽  
R. Fuchsová ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Health Index ◽  
Multicentric Study ◽  
Positive Biopsy ◽  
Prostate Health Index ◽  
Prostate Health

scholarly journals Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Wei Jin ◽  
Xiang Fei ◽  
Xia Wang ◽  
Yan Song ◽  
Fangjie Chen
Keyword(s):  
Prostate Cancer ◽  
Specific Antigen ◽  
High Rate ◽  
Health Index ◽  
Treatment Efficiency ◽  
Psa Screening ◽  
Prostate Health Index ◽  
New Biomarkers ◽  
Prostate Health ◽  
Potential Use

Prostate cancer (PCa) is second only to lung cancer as a cause of death. Clinical assessment of patients and treatment efficiency therefore depend on the disease being diagnosed as early as possible. However, due to issues regarding the use of prostate-specific antigen (PSA) for screening purposes, PCa management is among the most contentious of healthcare matters. PSA screening is problematic primarily because of diagnosis difficulties and the high rate of false-positive biopsies. Novel PCa biomarkers, such as the Prostate Health Index (PHI) and the 4Kscore, have been proposed in recent times to improve PSA prediction accuracy and have shown higher performance by preventing redundant biopsies. The 4Kscore also shows high precision in determining the risk of developing high-grade PCa, whereas elevated PHI levels suggest that the tumor is aggressive. Some evidence also supports the effectiveness of miRNAs as biomarkers for distinguishing PCa from benign prostatic hyperplasia and for assessing the aggressiveness of the disease. A number of miRNAs that possibly act as tumor inhibitors or oncogenes are impaired in PCa. These new biomarkers are comprehensively reviewed in the present study in terms of their potential use in diagnosing and treating PCa.

scholarly journals The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yu-Hua Fan ◽  
Po-Hsun Pan ◽  
Wei-Ming Cheng ◽  
Hsin-Kai Wang ◽  
Shu-Huei Shen ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Predictive Power ◽  
Transrectal Ultrasound ◽  
Health Index ◽  
Prostate Imaging ◽  
Prostate Biopsies ◽  
Prostate Health Index ◽  
Clinically Significant ◽  
Prostate Health

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.

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