Preoperative prediction of occult lymph node metastasis in patients with non-small cell lung cancer: a simple and widely applicable model

The personalized scoring prediction model constructed based on multiple tumors, ERBB2 miss mutation, CA125 levels, CA153 levels, tumor site, tumor length, and serum ferritin can screen NSCLC patients who may have OLNM.

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Publication Details

Journal
BMC Pulmonary Medicine
Published
2024-11-06
DOI
https://doi.org/10.1186/s12890-024-03378-y
Citations
2
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.84
Controls
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article

Preoperative prediction of occult lymph node metastasis in patients with non-small cell lung cancer: a simple and widely applicable model

Guanqiang Yan, Feng Gao, Hua‐Fu Zhou, Kun-Lin He et al.
2 citations
BMC Pulmonary Medicine
Lung Cancer Diagnosis and Treatment
0.84
article

Preoperative prediction of occult lymph node metastasis in patients with non-small cell lung cancer: a simple and widely applicable model

Guanqiang Yan, Feng Gao, Hua‐Fu Zhou, Kun-Lin He, Jing-Xiao Li, Zong-Wang Fu, Jun Liu, Yue Li, Guosheng Li, He Xu, Liting Wei, Xiang Gao
article en
2 citations

Abstract

The personalized scoring prediction model constructed based on multiple tumors, ERBB2 miss mutation, CA125 levels, CA153 levels, tumor site, tumor length, and serum ferritin can screen NSCLC patients who may have OLNM.

BMC Pulmonary MedicineVol. 24(1)
Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN)
Good health and well-being
Openalex Percentile: Top 23%
Lung Cancer Diagnosis and Treatment
0.84
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Preoperative prediction of occult lymph node metastasis in patients with non-small cell lung cancer: a simple and widely applicable model — Guanqiang Yan, Feng Gao, et al. · BMC Pulmonary Medicine (2024) | TGRS Research Map | TGRS