New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review

New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review

Lung cancer, the most frequently diagnosed cancer worldwide, is the leading cause of cancer-associated deaths. In recent years, significant progress has been achieved in basic and clinical research concerning the epidermal growth factor receptor (EGFR), and the treatment of lung adenocarcinoma has a...

Full description

Bibliographic Details
Main Authors: Xinyu Ge, Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Yuetao Wang, Xiaonan Shao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Oncology
Subjects:
radiomics
machine learning
deep learning
EGFR
positron-emission tomography/computed tomography
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1242392/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1242392/full

Similar Items