Radiomic Feature-Based Nomogram: A Novel Technique to Predict EGFR-Activating Mutations for EGFR Tyrosin Kinase Inhibitor Therapy

Radiomic Feature-Based Nomogram: A Novel Technique to Predict EGFR-Activating Mutations for EGFR Tyrosin Kinase Inhibitor Therapy

ObjectivesTo develop and validate a radiomic feature-based nomogram for preoperative discriminating the epidermal growth factor receptor (EGFR) activating mutation from wild-type EGFR in non-small cell lung cancer (NSCLC) patients.MaterialA group of 301 NSCLC patients were retrospectively reviewed....

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Bibliographic Details
Main Authors: Qiaoyou Weng, Junguo Hui, Hailin Wang, Chuanqiang Lan, Jiansheng Huang, Chun Zhao, Liyun Zheng, Shiji Fang, Minjiang Chen, Chenying Lu, Yuyan Bao, Peipei Pang, Min Xu, Weibo Mao, Zufei Wang, Jianfei Tu, Yuan Huang, Jiansong Ji
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Oncology
Subjects:
NSCLC
EGFR-activating mutation
clinical features
radiomics
nomogram
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.590937/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.590937/full

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