Histogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules

109 pathologically proven subsolid nodules (SSN) were segmented by 2 readers on non-thin section chest CT with a lung nodule analysis software followed by extraction of CT attenuation histogram and geometric features. Functional data analysis of histograms provided data driven features (FPC1,2,3) us...

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Detalles Bibliográficos
Autores principales: Oikonomou, Anastasia, Salazar, Pascal, Zhang, Yuchen, Hwang, David M., Petersen, Alexander, Dmytriw, Adam A., Paul, Narinder S., Nguyen, Elsie T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461662/
https://www.ncbi.nlm.nih.gov/pubmed/30979926
http://dx.doi.org/10.1038/s41598-019-42340-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461662/
https://www.ncbi.nlm.nih.gov/pubmed/30979926
http://dx.doi.org/10.1038/s41598-019-42340-5

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