Prostate cancer diagnostic algorithm as a "road map" from the first stratification of the patient to the final treatment decision

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00669806%3A_____%2F21%3A10427468" target="_blank" >RIV/00669806:_____/21:10427468 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11140/21:10427468

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Wr_EvZAtbv" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Wr_EvZAtbv</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/life11040324" target="_blank" >10.3390/life11040324</a>

Result language

angličtina

Original language name

Prostate cancer diagnostic algorithm as a "road map" from the first stratification of the patient to the final treatment decision

Original language description

The diagnostics of prostate cancer are currently based on three pillars: prostate biomarker panel, imaging techniques, and histological verification. This paper presents a diagnostic algorithm that can serve as a &quot;road map&quot;: from initial patient stratification to the final decision regarding treatment. The algorithm is based on a review of the current literature combined with our own experience. Diagnostic algorithms are a feature of an advanced healthcare system in which all steps are consciously coordinated and optimized to ensure the proper individualization of the treatment process. The prostate cancer diagnostic algorithm was created using the prostate specific antigen and in particular the Prostate Health Index in the first line of patient stratification. It then continued on the diagnostic pathway via imaging techniques, biopsy, or active surveillance, and then on to the treatment decision itself. In conclusion, the prostate cancer diagnostic algorithm presented here is a functional tool for initial patient stratification, comprehensive staging, and aggressiveness assessment. Above all, emphasis is placed on the use of the Prostate Health Index (PHI) in the first stratification of the patients as a predictor of aggressiveness and clinical stage of prostrate cancer (PCa). The inclusion of PHI in the algorithm significantly increases the accuracy and speed of the diagnostic procedure and allows to choose the optimal pathway just from the beginning. The use of advanced diagnostic techniques allows us to move towards to a more advanced level of cancer care. This diagnostics algorithm has become a standard of care in our hospital. The algorithm is continuously validated and modified based on our results.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30217 - Urology and nephrology

Project

<a href="/en/project/EF16_013%2F0001674" target="_blank" >EF16_013/0001674: BBMRI-CZ: Biobank network - a versatile platform for the research of the etiopathogenesis of diseases</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Life [online]

ISSN

2075-1729

e-ISSN

—

Volume of the periodical

11

Issue of the periodical within the volume

4

Country of publishing house

CH - SWITZERLAND

Number of pages

9

Pages from-to

324

UT code for WoS article

000643217000001

EID of the result in the Scopus database

2-s2.0-85104548542