Node-RADS category on preoperative CT predicts prognosis in patients with papillary renal cell carcinoma

Question Lymph node status is important for papillary renal cell carcinoma prognosis, and there is a lack of consensus on radiological evaluation. Findings Node-RADS is an independent predictor of progression-free survival and cancer-specific survival in papillary renal cell carcinoma. Clinical relevance The Node Reporting and Data System category improves the accuracy of the Leibovich model for prognosis, which can help clinical practitioners select individualized treatment plans for each patient.

Authors

Institutions

Publication Details

Journal
European Radiology
Published
2025-02-20
DOI
https://doi.org/10.1007/s00330-025-11446-y
Citations
2
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
3.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Node-RADS category on preoperative CT predicts prognosis in patients with papillary renal cell carcinoma

Jianjun Zhou, Chenchen Dai, Shaoting Zhang, Weifeng Lin et al.
2 citations
European Radiology
Renal cell carcinoma treatment
3.04
article

Node-RADS category on preoperative CT predicts prognosis in patients with papillary renal cell carcinoma

Jianjun Zhou, Chenchen Dai, Shaoting Zhang, Weifeng Lin, Xiaoxia Li, Dengqiang Lin, Ying Xiong, Shunfa Huang
article en
2 citations

Abstract

Question Lymph node status is important for papillary renal cell carcinoma prognosis, and there is a lack of consensus on radiological evaluation. Findings Node-RADS is an independent predictor of progression-free survival and cancer-specific survival in papillary renal cell carcinoma. Clinical relevance The Node Reporting and Data System category improves the accuracy of the Leibovich model for prognosis, which can help clinical practitioners select individualized treatment plans for each patient.

European RadiologyVol. 35(9)
Fujian Medical University (CN), Sun Yat-sen University (CN), Fudan University (CN), Xiamen Institute of Building Research Group (CN), Shandong Tumor Hospital (CN), Zhongshan Hospital of Xiamen University (CN), Zhongshan Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Shandong First Medical University (CN), Artificial Intelligence in Medicine (Canada) (CA)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province
Openalex Percentile: Top 11%
Renal cell carcinoma treatment
3.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.