Background. The optimal tool for predicting the survival of renal cell carcinoma (RCC) patients with lung metastases remains controversial. Methods. We selected patients diagnosed with RCC and lung metastases, from 2010 to 2015, from the Surveillance, Epidemiology, and End Results (SEER) database. After the selection of inclusion criteria and exclusion criterion, the rest of the patients were incorporated into model analysis. Least absolute shrinkage and selection operator (LASSO) regression was used to select the most important features for construction of a nomogram predicting cancer-specific survival. A calibration plot and the concordance index (C-index) were used to estimate nomogram efficacy in a validation cohort. The association bet...
OBJECTIVE: To identify clinical variables that can accurately predict the presence of distant metast...
OBJECTIVE: To identify clinical variables that can accurately predict the presence of distant metast...
Item does not contain fulltextOBJECTIVE: To identify clinical variables that can accurately predict ...
Background. Collecting duct renal cell carcinoma (CDRCC) is a rare type of renal cancer characterize...
Guanghao Zhang,1,* Yun Wu,2,* Jiashu Zhang,3 Zhiqing Fang,4 Zhaoxu Liu,4 Zhonghua Xu,4 Yidong Fan4 ...
Brain metastasis (BM) is a typical type of metastasis in renal cell carcinoma (RCC) patients. The ea...
Item does not contain fulltextPURPOSE: We tested the hypothesis that the prediction of renal cancer-...
PURPOSE: We tested the hypothesis that the prediction of renal cancer-specific survival can be impro...
BackgroundRenal cell carcinoma (RCC) is a common malignant tumor in the elderly, with an increasing ...
PURPOSE: We tested the hypothesis that the prediction of renal cancer-specific survival can be impro...
Outcome of patients with renal cell carcinoma nodal metastases (NM) is substantially worse than that...
OBJECTIVES: The objectives of this study are to catalogue all models developed to predict survival o...
Background. Bone metastasis (BM) is one of the common sites of renal cell carcinoma (RCC), and patie...
BackgroundRenal cell carcinoma (RCC) is a common malignant tumor in the elderly, with an increasing ...
Jianqing Deng, Zhipeng Ren, Jiaxin Wen, Bo Wang, Xiaobin Hou, Zhiqiang Xue, Xiangyang Chu Department...
OBJECTIVE: To identify clinical variables that can accurately predict the presence of distant metast...
OBJECTIVE: To identify clinical variables that can accurately predict the presence of distant metast...
Item does not contain fulltextOBJECTIVE: To identify clinical variables that can accurately predict ...
Background. Collecting duct renal cell carcinoma (CDRCC) is a rare type of renal cancer characterize...
Guanghao Zhang,1,* Yun Wu,2,* Jiashu Zhang,3 Zhiqing Fang,4 Zhaoxu Liu,4 Zhonghua Xu,4 Yidong Fan4 ...
Brain metastasis (BM) is a typical type of metastasis in renal cell carcinoma (RCC) patients. The ea...
Item does not contain fulltextPURPOSE: We tested the hypothesis that the prediction of renal cancer-...
PURPOSE: We tested the hypothesis that the prediction of renal cancer-specific survival can be impro...
BackgroundRenal cell carcinoma (RCC) is a common malignant tumor in the elderly, with an increasing ...
PURPOSE: We tested the hypothesis that the prediction of renal cancer-specific survival can be impro...
Outcome of patients with renal cell carcinoma nodal metastases (NM) is substantially worse than that...
OBJECTIVES: The objectives of this study are to catalogue all models developed to predict survival o...
Background. Bone metastasis (BM) is one of the common sites of renal cell carcinoma (RCC), and patie...
BackgroundRenal cell carcinoma (RCC) is a common malignant tumor in the elderly, with an increasing ...
Jianqing Deng, Zhipeng Ren, Jiaxin Wen, Bo Wang, Xiaobin Hou, Zhiqiang Xue, Xiangyang Chu Department...
OBJECTIVE: To identify clinical variables that can accurately predict the presence of distant metast...
OBJECTIVE: To identify clinical variables that can accurately predict the presence of distant metast...
Item does not contain fulltextOBJECTIVE: To identify clinical variables that can accurately predict ...