Open Access<p>A Novel Preoperative Nomogram for Predicting Lymph Node Invasion in Renal Cell Carcinoma Patients Without Metastasis</p>
Author(s) -
Ли Пин,
Cheng Peng,
Yongpeng Xie,
Lei Wang,
Liangyou Gu,
Shengpan Wu,
Donglai Shen,
Yundong Xuan,
Xin Ma,
Xu Zhang
Publication year - 2019
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s218254
Subject(s) - nomogram , medicine , stage (stratigraphy) , logistic regression , renal cell carcinoma , univariate analysis , t stage , multivariate analysis , body mass index , lymph node , metastasis , univariate , dissection (medical) , oncology , radiology , surgery , multivariate statistics , cancer , paleontology , statistics , mathematics , biology
To provide a preoperative predictive model to support clinical decision-making regarding the selection of in renal cell carcinoma (RCC) patients who will benefit the most from lymph node dissection.