دورية أكاديمية
International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer
العنوان: | International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer |
---|---|
المؤلفون: | Andreas G. Wibmer, Michael W. Kattan, Francesco Alessandrino, Alexander D. J. Baur, Lars Boesen, Felipe Boschini Franco, David Bonekamp, Riccardo Campa, Hannes Cash, Violeta Catalá, Sebastien Crouzet, Sounil Dinnoo, James Eastham, Fiona M. Fennessy, Kamyar Ghabili, Markus Hohenfellner, Angelique W. Levi, Xinge Ji, Vibeke Løgager, Daniel J. Margolis, Paul C. Moldovan, Valeria Panebianco, Tobias Penzkofer, Philippe Puech, Jan Philipp Radtke, Olivier Rouvière, Heinz-Peter Schlemmer, Preston C. Sprenkle, Clare M. Tempany, Joan C. Vilanova, Jeffrey Weinreb, Hedvig Hricak, Amita Shukla-Dave |
المصدر: | Cancers, Vol 13, Iss 11, p 2627 (2021) |
بيانات النشر: | MDPI AG, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
مصطلحات موضوعية: | prostate cancer, clinical staging, extraprostatic tumor extension, magnetic resonance imaging, nomogram, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
الوصف: | Background: To develop an international, multi-site nomogram for side-specific prediction of extraprostatic extension (EPE) of prostate cancer based on clinical, biopsy, and magnetic resonance imaging- (MRI) derived data. Methods: Ten institutions from the USA and Europe contributed clinical and side-specific biopsy and MRI variables of consecutive patients who underwent prostatectomy. A logistic regression model was used to develop a nomogram for predicting side-specific EPE on prostatectomy specimens. The performance of the statistical model was evaluated by bootstrap resampling and cross validation and compared with the performance of benchmark models that do not incorporate MRI findings. Results: Data from 840 patients were analyzed; pathologic EPE was found in 320/840 (31.8%). The nomogram model included patient age, prostate-specific antigen density, side-specific biopsy data (i.e., Gleason grade group, percent positive cores, tumor extent), and side-specific MRI features (i.e., presence of a PI-RADSv2 4 or 5 lesion, level of suspicion for EPE, length of capsular contact). The area under the receiver operating characteristic curve of the new, MRI-inclusive model (0.828, 95% confidence limits: 0.805, 0.852) was significantly higher than that of any of the benchmark models (p < 0.001 for all). Conclusions: In an international, multi-site study, we developed an MRI-inclusive nomogram for the side-specific prediction of EPE of prostate cancer that demonstrated significantly greater accuracy than clinical benchmark models. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 13112627 2072-6694 |
Relation: | https://www.mdpi.com/2072-6694/13/11/2627; https://doaj.org/toc/2072-6694 |
DOI: | 10.3390/cancers13112627 |
URL الوصول: | https://doaj.org/article/fa275a51dc6c4006a076c02379500d41 |
رقم الأكسشن: | edsdoj.fa275a51dc6c4006a076c02379500d41 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 13112627 20726694 |
---|---|
DOI: | 10.3390/cancers13112627 |