Open Access<p>Development and validation of CT imaging–based preoperative nomogram in the prediction of unfavorable high-grade small renal masses</p>
Author(s) -
Hui Xie,
Gang Li,
Kangkang Liu,
Zhun Wang,
Zhiqun Shang,
Zihao Liu,
Zhilei Xiong,
Changyi Quan,
Yuanjie Niu
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.s186914
Subject(s) - nomogram , medicine , logistic regression , nephrectomy , radiology , clinical trial , kidney
In recent years, there has been an increase in the incidence of small renal masses (SRMs) and nephrectomy was the standard management of this disease in the past. Currently, the use of active surveillance has been recommended as an alternative option in the case of some patients with SRMs due to its heterogenicity. However, limited studies focused on the regarding risk stratification. Therefore, in the current study, we developed a nomogram for the purpose of predicting the presence of high-grade SRMs on the basis of the patient information provided (clinical information, hematological indicators, and CT imaging data).