Decoding tumor mutation burden and driver mutations in early stage lung adenocarcinoma using CT‐based radiomics signature

BACKGROUND: Tumor mutation burden (TMB) is an important determinant and biomarker for response of targeted therapy and prognosis in patients with lung cancer. The present study aimed to determine whether radiomics signature could non‐invasively predict the TMB status and driver mutations in patients...

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Dettagli Bibliografici
Pubblicato in:Thorac Cancer
Autori principali: Wang, Xiaoxiao, Kong, Cheng, Xu, Weizhang, Yang, Sheng, Shi, Dan, Zhang, Jingyuan, Du, Mulong, Wang, Siwei, Bai, Yongkang, Zhang, Te, Chen, Zeng, Ma, Zhifei, Wang, Jie, Dong, Gaochao, Sun, Mengting, Yin, Rong, Chen, Feng
Natura: Artigo
Lingua:Inglês
Pubblicazione: John Wiley & Sons Australia, Ltd 2019
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Original Articles
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6775017/
https://ncbi.nlm.nih.gov/pubmed/31414580
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/1759-7714.13163
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