Predicting EGFR mutation subtypes in lung adenocarcinoma using (18)F-FDG PET/CT radiomic features

BACKGROUND: Identification of epidermal growth factor receptor (EGFR) mutation types is crucial before tyrosine kinase inhibitors (TKIs) treatment. Radiomics is a new strategy to noninvasively predict the genetic status of cancer. In this study, we aimed to develop a predictive model based on (18)F-...

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Detalles Bibliográficos
Publicado en:Transl Lung Cancer Res
Main Authors: Liu, Qiufang, Sun, Dazhen, Li, Nan, Kim, Jinman, Feng, Dagan, Huang, Gang, Wang, Lisheng, Song, Shaoli
Formato: Artigo
Idioma:Inglês
Publicado: AME Publishing Company 2020
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Original Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7354146/
https://ncbi.nlm.nih.gov/pubmed/32676319
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/tlcr.2020.04.17
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