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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...

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Detalles Bibliográficos
Autores principales: Yan, Bo, Chang, Yuanyuan, Jiang, Yifeng, Liu, Yuan, Yuan, Junyi, Li, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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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