A nomogram predicting the risk of extrathoracic metastasis at initial diagnosis of T≤3cmN0 lung cancer

Extrathoracic metastasis at initial diagnosis in T<sub>≤3cm</sub>N<sub>0</sub> lung cancer patients was not rare. The model based on the risk factors showed good performance in predicting the risk of extrathoracic metastasis.

Authors

Institutions

Publication Details

Journal
Translational Lung Cancer Research
Published
2024-08-01
DOI
https://doi.org/10.21037/tlcr-24-338
Citations
1
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.42

Funders

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

A nomogram predicting the risk of extrathoracic metastasis at initial diagnosis of T≤3cmN0 lung cancer

Jiandong Mei, Zihuai Wang, Tengyong Wang, Lunxu Liu et al.
1 citations
Translational Lung Cancer Research
Lung Cancer Diagnosis and Treatment
0.42
article

A nomogram predicting the risk of extrathoracic metastasis at initial diagnosis of T≤3cmN0 lung cancer

Jiandong Mei, Zihuai Wang, Tengyong Wang, Lunxu Liu, Jian Zhou, Jie Hui, Qiang Pu, Hu Liao
article en
1 citations

Abstract

Extrathoracic metastasis at initial diagnosis in T<sub>≤3cm</sub>N<sub>0</sub> lung cancer patients was not rare. The model based on the risk factors showed good performance in predicting the risk of extrathoracic metastasis.

Translational Lung Cancer ResearchVol. 13(8)
Sichuan University (CN), West China Hospital of Sichuan University (CN)
National Natural Science Foundation of China, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 34%
Lung Cancer Diagnosis and Treatment
0.42
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.