Epidemiological study on more accurate diagnosis of prostate cancer
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15120%2F20%3A73603391" target="_blank" >RIV/61989592:15120/20:73603391 - isvavai.cz</a>
Result on the web
<a href="http://cejph.szu.cz/artkey/cjp-202001-0011_epidemiological-study-on-more-accurate-diagnosis-of-prostate-cancer.php" target="_blank" >http://cejph.szu.cz/artkey/cjp-202001-0011_epidemiological-study-on-more-accurate-diagnosis-of-prostate-cancer.php</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21101/cejph.a5720" target="_blank" >10.21101/cejph.a5720</a>
Alternative languages
Result language
angličtina
Original language name
Epidemiological study on more accurate diagnosis of prostate cancer
Original language description
Objective: The study aimed at assessing the potential benefit of prostate health index (PHI) for early detection of prostate cancer (PCa) and the use of PHI as a marker predicting the presence of PCa before performing prostate biopsy. Methods: The study comprised 55 males who underwent prostate biopsy. Before the procedure, blood samples were collected to test prostate specific antigen (PSA) and free/total PSA ratio (%fPSA) and PHI was calculated. Receiver operating characteristic (ROC) analysis was used to assess the benefit of these values for predicting the presence of PCa. Results: Based on histological examination 31 males were diagnosed with PCa, the remaining 24 were negative. Among the PCa patients, 39% had a Gleason score of 6, 26% had a score of 7 and 35% had a score of 8-10. There were statistically significant differences in PHI and PSA between males with and without PCa. The areas under the ROC curve for %fPSA, total PSA and PHI were 0.712, 0.746 and 0.789, respectively. PHI showed the best predictive ability to estimate biopsy results. If the cut-off criterion PHI > 36.4 (77.42% sensitivity, 66.67% specificity) had been used, 41.7% of males would have avoided unnecessary biopsy. Conclusion: The use of PHI may considerably improve the accuracy of PCa detection in patients with elevated PSA and thus reduce the number of unnecessary biopsies.
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
30302 - Epidemiology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Central European Journal of Public Health
ISSN
1210-7778
e-ISSN
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Volume of the periodical
28
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
5
Pages from-to
65-69
UT code for WoS article
000548269300011
EID of the result in the Scopus database
2-s2.0-85082792809