Predictors of trifecta after open and robot partial nephrectomy for highly complex localized renal tumor: results from a large multicenter international prospective observational project (the surface-intermediate-base margin score consortium)
Autor: | Martin Marszalek, Sabine Brookman-May, Marco Carini, Francesca Sanguedolce, F. Di Maida, M. Roscigno, Nihat Karakoyunlu, Andrea Minervini, F.X. Keeley, Riccardo Campi, Hans Langenhuijsen, Riccardo Tellini, Andrea Mari, O. De Cobelli, Tobias Klatte, A. Antonelli, Georgios Hatzichristodoulou, U. Capitanio, Bulent Akdogan, Brian R. Lane, A. Kutikov |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
business.industry Urology medicine.medical_treatment Renal tumor Base (topology) lcsh:Diseases of the genitourinary system. Urology lcsh:RC870-923 lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens lcsh:RC254-282 Nephrectomy Margin (machine learning) medicine Observational study Radiology business |
Zdroj: | European Urology Open Science, Vol 20, Iss, Pp S108-(2020) |
ISSN: | 2666-1683 |
Databáze: | OpenAIRE |
Externí odkaz: |