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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Detalles Bibliográficos
Autores principales: Li, Xiaohu, Zhang, Wei, Yu, Yongqiang, Zhang, Guihong, Zhou, Lifen, Wu, Zongshan, Liu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986053/
https://www.ncbi.nlm.nih.gov/pubmed/31992239
http://dx.doi.org/10.1186/s12885-020-6556-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986053/
https://www.ncbi.nlm.nih.gov/pubmed/31992239
http://dx.doi.org/10.1186/s12885-020-6556-6

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