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CT features and quantitative analysis of subsolid nodule lung adenocarcinoma for pathological classification prediction
BACKGROUND: The value of the CT features and quantitative analysis of lung subsolid nodules (SSNs) in the prediction of the pathological grading of lung adenocarcinoma is discussed. METHODS: Clinical data and CT images of 207 cases (216 lesions) with CT manifestations of an SSNs lung adenocarcinoma...
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| Publicado no: | BMC Cancer |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6986053/ https://ncbi.nlm.nih.gov/pubmed/31992239 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12885-020-6556-6 |
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