Peritumoral radiomics features on preoperative thin-slice CT images can predict the spread through air spaces of lung adenocarcinoma

The spread through air spaces (STAS) is recognized as a negative prognostic factor in patients with early-stage lung adenocarcinoma. The present study aimed to develop a machine learning model for the prediction of STAS using peritumoral radiomics features extracted from preoperative CT imaging. A t...

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Detalles Bibliográficos
Autores principales: Takehana, Keiichi, Sakamoto, Ryo, Fujimoto, Koji, Matsuo, Yukinori, Nakajima, Naoki, Yoshizawa, Akihiko, Menju, Toshi, Nakamura, Mitsuhiro, Yamada, Ryo, Mizowaki, Takashi, Nakamoto, Yuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209514/
https://www.ncbi.nlm.nih.gov/pubmed/35725754
http://dx.doi.org/10.1038/s41598-022-14400-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209514/
https://www.ncbi.nlm.nih.gov/pubmed/35725754
http://dx.doi.org/10.1038/s41598-022-14400-w

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