Prostate cancer diagnostic algorithm Aim: The aim of the study is to implement the latest scientific knowledge in the diagnosis of prostate cancer (PC). We focused on tumor markers, imaging methods, prostate biopsy methodology and we created a diagnostic algorithm based on a review of current literature in combination with our own experience. Material and methods: The algorithm is divided into several branches, which have been individually subjected to clinical studies. Due to the low sensitivity and specificity of PSA, prostate health index (PHI) was added to the first line of patient stratification. 787 patients were primarily examined and these subsequently underwent radical prostatectomy. PHI levels were compared with definitive staging and grading. Cut-off values for PC detection and high-risk stratification, including locally advanced PC were determined. Next, 320 patients underwent prostate biopsy followed by radical prostatectomy. The cohort was further divided into two subgroups, patients with GS = 6 and patients with GS > 6. The ability of PHI to distinguish between insignificant and significant prostate cancer was evaluated. In a multicentric study with 395 patients, PHI with additional markers (tPSA, PSAD) and multiparametric magnetic resonance imaging of prostate (mpMRI) was assessed....
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:455121 |
| Date | January 2021 |
| Creators | Sedláčková, Hana |
| Contributors | Hora, Milan, Baxa, Jan, Záleský, Miroslav |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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