Percentage of free prostate-specific antigen (PSA) is a useful method in deciding to perform prostate biopsy with higher core numbers in patients with low PSA cut-off values
| Autor: | Ozdal Dillioglugil, Ali Saribacak, Seyfettin Ciftci, Hasan Yilmaz, Ufuk Yavuz, Murat Ustuner |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Adult
Male medicine.medical_specialty Prostate biopsy Biopsy Clinical Decision-Making Urology urologic and male genital diseases Prostate cancer Prostate medicine Humans Aged Medicine(all) Intraepithelial neoplasia lcsh:R5-920 medicine.diagnostic_test Receiver operating characteristic business.industry Prostatic Neoplasms General Medicine Rectal examination Middle Aged medicine.disease Prostate-specific antigen medicine.anatomical_structure ROC Curve Kallikreins business lcsh:Medicine (General) |
| Zdroj: | Kaohsiung Journal of Medical Sciences, Vol 31, Iss 6, Pp 315-319 (2015) |
| Popis: | The aim of this study was to evaluate the predictive role of percentage of free prostate-specific antigen (%fPSA) cut-points in prostate cancer (PCa) detection in patients with total PSA (tPSA) levels between 2.5 ng/mL and 10.0 ng/mL. In total, 1321 consecutive initial transrectal ultrasound (TRUS)-guided 12-core biopsies performed between 2005 and 2011 were evaluated retrospectively. Benign pathologies, high-grade prostatic intraepithelial neoplasia, and atypical small acinary proliferations were categorized as noncancerous (benign), and prostate adenocarcinomas were categorized as cancerous (malignant). The patients were categorized according to: Catalona's published %fPSA categories ( 25%); digital rectal examination (DRE) results [benign (negative) or suspicious of malignancy (positive)]. There was a significant relationship between the %fPSA cut-points and detection of PCa in DRE-negative patients. The presence of a 10% cut-point increased the probability of PCa threefold. The %fPSA was significantly more related to PCa than the tPSA value in receiver operating characteristic (ROC) curve analyses (p = 0.001). Based on our findings, a lower %fPSA, especially |
| Databáze: | OpenAIRE |
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