Image‐Based Deep Learning Model for Predicting Lymph Node Metastasis in Lung Adenocarcinoma With <scp>CT ≤</scp> 2 <scp>cm</scp>

Patients with early-stage lung adenocarcinoma with LNM can be identified by typical imaging features. The diagnostic model can help to optimize surgical planning among thoracic surgeons.

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Publication Details

Journal
Thoracic Cancer
Published
2025-05-01
DOI
https://doi.org/10.1111/1759-7714.70048
Citations
1
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.52

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article

Image‐Based Deep Learning Model for Predicting Lymph Node Metastasis in Lung Adenocarcinoma With CT ≤ 2 cm

Li Su, Meng Li, Zhongmin Peng, Li Shi et al.
1 citations
Thoracic Cancer
Lung Cancer Diagnosis and Treatment
1.52
article

Image‐Based Deep Learning Model for Predicting Lymph Node Metastasis in Lung Adenocarcinoma With CT ≤ 2 cm

Li Su, Meng Li, Zhongmin Peng, Li Shi, Xiao Han, Zhen Gao, Shang Liu
article en
1 citations

Abstract

Patients with early-stage lung adenocarcinoma with LNM can be identified by typical imaging features. The diagnostic model can help to optimize surgical planning among thoracic surgeons.

Thoracic CancerVol. 16(10)
Shandong Provincial Hospital (CN), Shandong First Medical University (CN)
Major Scientific and Technological Innovation Project of Shandong Province
Good health and well-being
Openalex Percentile: Top 18%
Lung Cancer Diagnosis and Treatment
1.52
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