Cover Image
Wei Guo, Tong Lu, Yang Song, Anqi Li, Xijia Feng, Dingpei Han, Yuqin Cao, Debin Sun, Xiaoli Gong, Chengqiang Li, Runsen Jin, Hailei Du, Kai Chen, Jie Xiang, Junbiao Hang, Gang Chen, Hecheng Li
TL;DR
This paper presents a model to predict lymph node metastasis in early lung cancer using genomic and clinical data.
Contribution
A novel prediction model for lymph node metastasis in lung adenocarcinoma is developed and validated.
Findings
The model integrates genomic profiling and clinicopathologic features for accurate prediction.
Validation confirms the model's effectiveness in predicting metastasis in early-stage lung cancer.
Abstract
The cover image is based on the article Lymph node metastasis in early invasive lung adenocarcinoma: Prediction model establishment and validation based on genomic profiling and clinicopathologic characteristics by Wei Guo et al., https://doi.org/10.1002/cam4.70039.
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Taxonomy
TopicsLung Cancer Diagnosis and Treatment · Radiomics and Machine Learning in Medical Imaging · MRI in cancer diagnosis