| Online-Ressource |
Verfasst von: | Görtz, Magdalena [VerfasserIn]  |
| Radtke, Jan Philipp [VerfasserIn]  |
| Hatiboglu, Gencay [VerfasserIn]  |
| Schütz, Viktoria [VerfasserIn]  |
| Tosev, Georgi [VerfasserIn]  |
| Güttlein, Maximilian [VerfasserIn]  |
| Leichsenring, Jonas [VerfasserIn]  |
| Stenzinger, Albrecht [VerfasserIn]  |
| Bonekamp, David [VerfasserIn]  |
| Schlemmer, Heinz-Peter [VerfasserIn]  |
| Hohenfellner, Markus [VerfasserIn]  |
| Nyarangi-Dix, Joanne [VerfasserIn]  |
Titel: | The value of prostate-specific antigen density for prostate imaging-reporting and data system 3 lesions on multiparametric magnetic resonance imaging |
Titelzusatz: | a strategy to avoid unnecessary prostate biopsies |
Verf.angabe: | Magdalena Görtz, Jan Philipp Radtke, Gencay Hatiboglu, Viktoria Schütz, Georgi Tosev, Maximilian Güttlein, Jonas Leichsenring, Albrecht Stenzinger, David Bonekamp, Heinz-Peter Schlemmer, Markus Hohenfellner, Joanne Nyaboe Nyarangi-Dix |
E-Jahr: | 2019 |
Jahr: | 12 December 2019 |
Fussnoten: | Gesehen am 28.04.2020 |
Titel Quelle: | Enthalten in: European urology focus |
Ort Quelle: | Amsterdam : Elsevier, 2015 |
Jahr Quelle: | 2021 |
Band/Heft Quelle: | 7(2021), 2, Seite 325-331 |
ISSN Quelle: | 2405-4569 |
Abstract: | Background - Multiparametric magnetic resonance imaging (mpMRI) has excellent sensitivity in detecting significant prostate cancer (sPC). Nevertheless, uncertainty exists regarding the management of Prostate Imaging-Reporting and Data System (PI-RADS) 3 lesions. - Objective - To investigate whether PI-RADS 3 lesions in combination with clinical parameters, especially prostate-specific antigen density (PSAD), can be used to exclude sPC. - Design, setting, and participants - A total of 455 consecutive biopsy-naïve men underwent MRI-guided transperineal prostate fusion biopsy at our department between 2017 and 2018. We identified 101 patients who had exclusively one or more PI-RADS 3 lesions on mpMRI. sPC was defined as intermediate- and high-risk PC (according to the D’Amico risk classification). - Outcome measures and statistical analysis - Univariate logistic regression analysis was performed to test different clinical factors as predictors of sPC in men with PI-RADS 3 lesions. The probability of sPC prediction was calculated for different PSAD thresholds. - Results and limitations - Among patients with PI-RADS 3 lesions, PSAD was a significant predictor of sPC (p = 0.005). For a PI-RADS score of 3 the probability of excluding sPC was 85% (86/101), which increased to 98% (42/43) when combined with PSAD <0.1 ng/ml/ml. - Conclusions - Inclusion of PSAD < 0.1 ng/ml/ml in the strategy for biopsy-naïve patients with equivocal mpMRI findings would allow a reduction in prostate biopsies in 43% (43/101) of cases at the cost of missing a very small number (2%, 1/43) of intermediate-risk PCs. - Patient summary - At high-volume tertiary care centers with significant experience in prostate multiparametric magnetic resonance imaging, immediate biopsies could be safely omitted for men with lesions with a Prostate Imaging-Reporting and Data System score of 3 and prostate-specific antigen density of PSAD < 0.1 ng/ml/ml. Any decision to omit an immediate biopsy should be associated with close monitoring. |
DOI: | doi:10.1016/j.euf.2019.11.012 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1016/j.euf.2019.11.012 |
| Volltext: http://www.sciencedirect.com/science/article/pii/S2405456919303530 |
| DOI: https://doi.org/10.1016/j.euf.2019.11.012 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Fusion biopsy |
| Magnetic resonance imaging |
| Prostate cancer |
| Prostate Imaging-Reporting and Data System |
| Prostate-specific antigen density |
K10plus-PPN: | 1696284147 |
Verknüpfungen: | → Zeitschrift |
¬The¬ value of prostate-specific antigen density for prostate imaging-reporting and data system 3 lesions on multiparametric magnetic resonance imaging / Görtz, Magdalena [VerfasserIn]; 12 December 2019 (Online-Ressource)