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A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma
OBJECTIVE: The morphology of ground-glass nodule (GGN) under high-resolution computed tomography (HRCT) has been suggested to indicate different histological subtypes of lung adenocarcinoma (LUAD); however, existing studies only include the limited number of GGN characteristics, which lacks a system...
Autores principales: | Yan, Bo, Chang, Yuanyuan, Jiang, Yifeng, Liu, Yuan, Yuan, Junyi, Li, Rong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458920/ https://www.ncbi.nlm.nih.gov/pubmed/36090345 http://dx.doi.org/10.3389/fsurg.2022.973523 |
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