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Page 1
A machine learning-based analysis for the definition of an optimal renal biopsy for kidney cancer.
Belladelli F, De Cobelli F, Piccolo C, Cei F, Re C, Musso G, Rosiello G, Cignoli D, Santangelo A, Fallara G, Matloob R, Bertini R, Gusmini S, Brembilla G, Lucianò R, Tenace N, Salonia A, Briganti A, Montorsi F, Larcher A, Capitanio U. Belladelli F, et al. Among authors: capitanio u. Urol Oncol. 2024 Nov 7:S1078-1439(24)00700-2. doi: 10.1016/j.urolonc.2024.10.020. Online ahead of print. Urol Oncol. 2024. PMID: 39516081
How to Select the Optimal Candidates for Renal Mass Biopsy.
Martini A, Larcher A, Bravi CA, Capogrosso P, Falagario UG, Fallara G, Pellegrino F, Muttin F, Re C, Briganti A, Salonia A, Bertini R, Montorsi F, Capitanio U; Young Academic Urologists working groups on robotic surgery and kidney cancer of the European Association of Urology. Martini A, et al. Among authors: capitanio u. Eur Urol Oncol. 2021 Jun;4(3):506-509. doi: 10.1016/j.euo.2020.10.001. Epub 2020 Oct 21. Eur Urol Oncol. 2021. PMID: 34074486
Reply to Sebastiano Buti and Giulia Claire Giudice's Letter to the Editor comparing the prognostic models to predict oncologic outcomes in patients with renal cell carcinoma: Is AUC close enough to clinical practice? Urol Oncol. 2022 Apr 14:S1078-1439(22)00066-7. doi: 10.1016/j.urolonc.2022.02.015.
Rosiello G, Larcher A, Montorsi F, Capitanio U. Rosiello G, et al. Among authors: capitanio u. Urol Oncol. 2022 Aug;40(8):386. doi: 10.1016/j.urolonc.2022.04.018. Epub 2022 May 27. Urol Oncol. 2022. PMID: 35644799 No abstract available.
Preoperative risk calculator for the probability of completing nephron sparing for kidney cancer.
Cei F, Larcher A, Rosiello G, Basile G, Musso G, Re C, Fallara G, Belladelli F, Brembilla G, Guazzarotti G, De Cobelli F, Marandino L, Necchi A, Briganti A, Salonia A, Bertini R, Montorsi F, Capitanio U. Cei F, et al. Among authors: capitanio u. Urol Oncol. 2024 Aug;42(8):247.e21-247.e27. doi: 10.1016/j.urolonc.2024.01.029. Epub 2024 Apr 21. Urol Oncol. 2024. PMID: 38644109
Head-to-head comparison of all the prognostic models recommended by the European Association of Urology Guidelines to predict oncologic outcomes in patients with renal cell carcinoma.
Rosiello G, Larcher A, Fallara G, Giancristofaro C, Martini A, Re C, Cei F, Musso G, Tian Z, Karakiewicz PI, Mottrie A, Bertini R, Salonia A, Necchi A, Raggi D, Briganti A, Montorsi F, Capitanio U. Rosiello G, et al. Among authors: capitanio u. Urol Oncol. 2022 Jun;40(6):271.e19-271.e27. doi: 10.1016/j.urolonc.2021.12.010. Epub 2022 Feb 6. Urol Oncol. 2022. PMID: 35140049
The key role of time in predicting progression-free survival in patients with renal cell carcinoma treated with partial or radical nephrectomy: conditional survival analysis.
Abdollah F, Suardi N, Capitanio U, Matloob R, Fossati N, Castiglione F, Di Trapani E, Di Trapani D, Russo A, Carenzi C, Montorsi F, Rigatti P, Bertini R. Abdollah F, et al. Among authors: capitanio u. Urol Oncol. 2014 Jan;32(1):43.e9-16. doi: 10.1016/j.urolonc.2013.05.006. Epub 2013 Aug 2. Urol Oncol. 2014. PMID: 23911684
Renal cancer.
Capitanio U, Montorsi F. Capitanio U, et al. Lancet. 2016 Feb 27;387(10021):894-906. doi: 10.1016/S0140-6736(15)00046-X. Epub 2015 Aug 25. Lancet. 2016. PMID: 26318520 Review.
479 results