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

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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Bibliographic Details
Main Authors: Xiaoxiao Wang, Cheng Kong, Weizhang Xu, Sheng Yang, Dan Shi, Jingyuan Zhang, Mulong Du, Siwei Wang, Yongkang Bai, Te Zhang, Zeng Chen, Zhifei Ma, Jie Wang, Gaochao Dong, Mengting Sun, Rong Yin, Feng Chen
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:Thoracic Cancer
Subjects:
Early stage lung cancer
next‐generation sequencing
radiomics
somatic mutations
tumor mutation burden
Online Access:https://doi.org/10.1111/1759-7714.13163

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