@article{4035668d888d407885a5c5cf67125014,
title = "A New Model to Predict Benign Histology in Residual Retroperitoneal Masses After Chemotherapy in Nonseminoma",
abstract = "The Princess Margaret model (PMM) has higher accuracy and sensitivity in the prediction of residual benign histology when compared with other models. The PMM identifies a higher number of patients for whom retroperitoneal lymph node dissection can be avoided, and gives confidence to be used as an extensive and prospective clinical application.",
keywords = "Nonseminoma germ cell testicular cancer, Postchemotherapy, Predictive model, Retroperitoneal lymph node dissection, Viable disease",
author = "Ricardo Le{\~a}o and Madhur Nayan and Nahid Punjani and Jewett, {Michael A.S.} and Kamel Fadaak and Juan Garisto and Jeremy Lewin and Atenafu, {Eshetu G.} and Joan Sweet and Lynn Anson-Cartwright and Peter Bostr{\"o}m and Peter Chung and Padraig Warde and Bedard, {Philippe L.} and Aditya Bagrodia and Yuval Freifeld and Nicholas Power and Eric Winquist and Hamilton, {Robert J.}",
note = "Funding Information: Other: None. Financial disclosures: Ricardo Le{\~a}o certifies that all conflicts of interest, including specific financial interests and relationships and affiliations relevant to the subject matter or materials discussed in the manuscript (eg, employment/affiliation, grants or funding, consultancies, honoraria, stock ownership or options, expert testimony, royalties, or patents filed, received, or pending), are the following: None. Funding/Support and role of the sponsor: This study was supported by the Dell{\textquoteright}Elce Family Testicular Cancer Research fund. Ricardo Le{\~a}o is supported by the Foundation for Science and Technology, Government of Portugal (SFRH/BD/102232/2014 Individual Doctoral Grant). Publisher Copyright: {\textcopyright} 2018 European Association of Urology",
year = "2018",
month = dec,
doi = "10.1016/j.euf.2018.01.015",
language = "English (US)",
volume = "4",
pages = "995--1001",
journal = "European Urology Focus",
issn = "2405-4569",
publisher = "Elsevier BV",
number = "6",
}