Academic Journal
Evaluation of Prostate Imaging Reporting and Data System Classification in the Prediction of Tumor Aggressiveness in Targeted Magnetic Resonance Imaging/Ultrasound-Fusion Biopsy
| العنوان: | Evaluation of Prostate Imaging Reporting and Data System Classification in the Prediction of Tumor Aggressiveness in Targeted Magnetic Resonance Imaging/Ultrasound-Fusion Biopsy |
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| المؤلفون: | Borkowetz, Angelika, Platzek, Ivan, Toma, Marieta, Renner, Theresa, Herout, Roman, Baunacke, Martin, Laniado, Michael, Baretton, Gustavo B., Froehner, Michael, Zastrow, Stefan, Wirth, Manfred P. |
| Publication Status: | publishedVersion |
| بيانات النشر: | Karger, 2017. |
| سنة النشر: | 2017 |
| المجموعة: | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Original Material: | urn:nbn:de:bsz:14-qucosa2-706254 |
| مصطلحات موضوعية: | Magnetresonanz-Bildgebung/Ultraschall-Fusionsbiopsie, Multiparametrisches MRI, Berichts- und Datensystem für Prostata-Bildgebung, Vorhersage, Prostatakrebs, Systematische Biopsie, Magnetic resonance imaging/ultrasound-fusion biopsy, Multiparametric MRI, Prostate Imaging Reporting and Data System, Prediction, Prostate cancer, Systematic biopsy, info:eu-repo/classification/ddc/610, ddc:610 |
| الوصف: | 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. |
| Original Identifier: | oai:qucosa:de:qucosa:70625 |
| نوع الوثيقة: | Article |
| اللغة: | English |
| تدمد: | 0042-1138 1423-0399 |
| DOI: | 10.1159/000477263 |
| الاتاحة: | https://tud.qucosa.de/id/qucosa%3A70625 https://tud.qucosa.de/api/qucosa%3A70625/attachment/ATT-0/ |
| Rights: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsndl.DRESDEN.oai.qucosa.de.qucosa.70625 |
| قاعدة البيانات: | Networked Digital Library of Theses & Dissertations |
| تدمد: | 00421138 14230399 |
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| DOI: | 10.1159/000477263 |