The predictive value of the prostate health index vs. multiparametric magnetic resonance imaging for prostate cancer diagnosis in prostate biopsy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064190%3A_____%2F20%3AN0000007" target="_blank" >RIV/00064190:_____/20:N0000007 - isvavai.cz</a>
Alternative codes found
RIV/00669806:_____/21:10413167 RIV/00216208:11120/21:43920344 RIV/00216208:11140/21:10413167 RIV/00216208:11110/21:10413167 and 3 more
Result on the web
<a href="http://dx.doi.org/10.1007/s00345-020-03397-4" target="_blank" >http://dx.doi.org/10.1007/s00345-020-03397-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00345-020-03397-4" target="_blank" >10.1007/s00345-020-03397-4</a>
Alternative languages
Result language
angličtina
Original language name
The predictive value of the prostate health index vs. multiparametric magnetic resonance imaging for prostate cancer diagnosis in prostate biopsy
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30217 - Urology and nephrology
Result continuities
Project
<a href="/en/project/NV15-27047A" target="_blank" >NV15-27047A: Use of MRI with transrectal ultrasonography fusion for detecting prostate cancer</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
WORLD JOURNAL OF UROLOGY
ISSN
0724-4983
e-ISSN
1433-8726
Volume of the periodical
39
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
1889-1895
UT code for WoS article
000556630600001
EID of the result in the Scopus database
2-s2.0-85089027197