- AutorIn
- Angelika Borkowetz Technische Universität Dresden, Department of Urology, Dresden, Germany
- Ivan PlatzekTechnische Universität Dresden, Department of Radiology and Interventional Radiology, Dresden, Germany
- Marieta TomaTechnische Universität Dresden, Department of Pathology, Dresden, Germany
- Theresa Renner
- Roman Herout
- Martin Baunacke
- Michael Laniado
- Gustavo B. Baretton
- Michael Froehner
- Stefan Zastrow
- Manfred P. Wirth
- Titel
- Evaluation of Prostate Imaging Reporting and Data System Classification in the Prediction of Tumor Aggressiveness in Targeted Magnetic Resonance Imaging/Ultrasound-Fusion Biopsy
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-706254
- Quellenangabe
- Urologia Internationalis Erscheinungsort: Basel
Verlag: Karger
Erscheinungsjahr: 2017
Jahrgang: 99
Heft: 2
Seiten: 177-185
ISSN: 0042-1138
E-ISSN: 1423-0399 - Erstveröffentlichung
- 2017
- Abstract (EN)
- Objectives: The study aimed to evaluate the prediction of Prostate Imaging Reporting and Data System (PI-RADS) with respect to the prostate cancer (PCa) detection rate and tumor aggressiveness in magnetic resonance imaging (MRI)/ultrasound-fusion-biopsy (fusPbx) and in systematic biopsy (sysPbx). Materials and Methods: Six hundred and twenty five patients undergoing multiparametric MRI were investigated. MRI findings were classified using PI-RADS v1 or v2. All patients underwent fusPbx combined with sysPbx (comPbx). The lesion with the highest PI-RADS was defined as maximum PI-RADS (maxPI-RADS). Gleason Score ≥ 7 (3 + 4) was defined as significant PCa. Results: The overall PCa detection rate was 51% ( n = 321; 39% significant PCa). The detection rate was 43% in fusPbx ( n = 267; 34% significant PCa) and 36% in sysPbx ( n = 223; 27% significant PCa). Nine percentage of significant PCa were detected by sysPbx alone. A total of 1,162 lesions were investigated. The detection rate of significant PCa in lesions with PI-RADS 2, 3, 4, and 5 were 9% (18/206), 12% (56/450), 27% (98/358), and 61% (90/148) respectively. maxPI-RADS ≥ 4 was the strongest predictor for the detection of significant PCa in comPbx (OR 2.77; 95% CI 1.81–4.24; p < 0.005). Conclusions: maxPI-RADS is the strongest predictor for the detection of significant PCa in comPbx. Due to a high detection rate of additional significant PCa in sysPbx, fusPbx should still be combined with sysPbx.
- Andere Ausgabe
- Link zum Artikel der zuerst in der Zeitschrift 'Urologia Internationalis' erschienen ist
DOI: 10.1159/000477263 - Freie Schlagwörter (DE)
- Magnetresonanz-Bildgebung/Ultraschall-Fusionsbiopsie, Multiparametrisches MRI, Berichts- und Datensystem für Prostata-Bildgebung, Vorhersage, Prostatakrebs, Systematische Biopsie
- Freie Schlagwörter (EN)
- Magnetic resonance imaging/ultrasound-fusion biopsy, Multiparametric MRI, Prostate Imaging Reporting and Data System, Prediction, Prostate cancer, Systematic biopsy
- Klassifikation (DDC)
- 610
- Verlag
- Karger, Basel
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-706254
- Veröffentlichungsdatum Qucosa
- 22.05.2020
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis