The predictive value of the prostate health index vs. multiparametric magnetic resonance imaging for prostate cancer diagnosis in prostate biopsy

• Published in: World journal of urology Vol. 39; no. 6; pp. 1889 - 1895
• Main Authors: Stejskal, Jiří, Adamcová, Vanda, Záleský, Miroslav, Novák, Vojtěch, Čapoun, Otakar, Fiala, Vojtěch, Dolejšová, Olga, Sedláčková, Hana, Veselý, Štěpán, Zachoval, Roman
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2021; Springer Nature B.V
• Subjects: Biopsy; Magnetic resonance imaging; Medicine; Medicine & Public Health; Nephrology; Oncology; Original Article; Prostate cancer; Urology; MRI; TRUS fusion biopsy; PIRADS; Prostate health index; Prostate cancer; Prostate MRI; PSA density
• ISSN: 0724-4983; 1433-8726
• DOI: 10.1007/s00345-020-03397-4

Purpose To compare the ability of Prostate Health Index (PHI) to diagnose csPCa, with that of total PSA, PSA density (PSAD) and the multiparametric magnetic resonance (mpMRI) of the prostate. Methods We analysed a group of 395 men planned for a prostate biopsy who underwent a mpMRI of the prostate evaluated using the PIRADS v1 criteria. All patients had their PHI measured before prostate biopsy. In patients with an mpMRI suspicious lesions, an mpMRI/ultrasound software fusion-guided biopsy was performed first, with 12 core systematic biopsy performed in all patients. A ROC analysis was performed for PCa detection for total PSA, PSAD, PIRADS score and PHI; with an AUC curve calculated for all criteria and a combination of PIRADS score and PHI. Subsequent sub-analyses included patients undergoing first and repeat biopsy. Results The AUC for predicting the presence of csPCa in all patients was 59.5 for total PSA, 69.7 for PHI, 64.9 for PSAD and 62.5 for PIRADS. In biopsy naive patients it was 61.6 for total PSA, 68.9 for PHI, 64.6 for PSAD and 63.1 for PIRADS. In patients with previous negative biopsy the AUC for total PSA, PHI, PSAD and PIRADS was 55.4, 71.2, 64.4 and 69.3, respectively. Adding of PHI to PIRADS increased significantly ( p  = 0.007) the accuracy for prediction of csPCa. Conclusion Prostate Health Index could serve as a tool in predicting csPCa. When compared to the mpMRI, it shows comparable results. The PHI cannot, however, help us guide prostate biopsies in any way, and its main use may, therefore, be in pre-MRI or pre-biopsy triage.