[HTML][HTML] Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis
RW Jansen, P van Amstel, RM Martens, IE Kooi… - Oncotarget, 2018 - ncbi.nlm.nih.gov
With targeted treatments playing an increasing role in oncology, the need arises for fast non-
invasive genotyping in clinical practice. Radiogenomics is a rapidly evolving field of …
invasive genotyping in clinical practice. Radiogenomics is a rapidly evolving field of …
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients
Y Guo, T Li, B Gong, Y Hu, S Wang, L Yang… - Advanced …, 2024 - Wiley Online Library
With the increasing demand for precision medicine in cancer patients, radiogenomics
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …
[HTML][HTML] Predicting EGFR mutation subtypes in lung adenocarcinoma using 18F-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 …
crucial before tyrosine kinase inhibitors (TKIs) treatment. Radiomics is a new strategy to …
Predictive Power of a Radiomic Signature Based on 18F-FDG PET/CT Images for EGFR Mutational Status in NSCLC
X Li, G Yin, Y Zhang, D Dai, J Liu, P Chen, L Zhu… - Frontiers in …, 2019 - frontiersin.org
Radiomics has become an area of interest for tumor characterization in 18F-
Fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG …
Fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG …
A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma
C Chang, S Zhou, H Yu, W Zhao, Y Ge, S Duan… - European …, 2021 - Springer
Objectives This study aims to develop a clinically practical model to predict EGFR mutation
in lung adenocarcinoma patients according to radiomics signatures based on PET/CT and …
in lung adenocarcinoma patients according to radiomics signatures based on PET/CT and …
Value of 18F–FDG PET/CT for predicting EGFR mutations and positive ALK expression in patients with non-small cell lung cancer: a retrospective analysis of 849 …
Z Lv, J Fan, J Xu, F Wu, Q Huang, M Guo, T Liao… - European Journal of …, 2018 - Springer
Purpose Epidermal growth factor receptor (EGFR) mutations and the anaplastic lymphoma
kinase (ALK) rearrangement are the two most common druggable targets in non-small cell …
kinase (ALK) rearrangement are the two most common druggable targets in non-small cell …
Performance of 18F-FDG PET/CT Radiomics for Predicting EGFR Mutation Status in Patients With Non-Small Cell Lung Cancer
M Zhang, Y Bao, W Rui, C Shangguan, J Liu… - Frontiers in …, 2020 - frontiersin.org
Objective To assess the performance of pretreatment 18F-fluorodeoxyglucose positron
emission tomography/computed tomography (18F-FDG PET/CT) radiomics features for …
emission tomography/computed tomography (18F-FDG PET/CT) radiomics features for …
[HTML][HTML] Value of serum tumor markers for predicting EGFR mutations and positive ALK expression in 1089 Chinese non-small-cell lung cancer patients: a …
S Wang, P Ma, G Ma, Z Lv, F Wu, M Guo, Y Li… - European Journal of …, 2020 - Elsevier
Purpose The role of serum tumor markers (STMs) in the modern management of epidermal
growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) mutations in lung …
growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) mutations in lung …
Prediction of EGFR Mutation Status Based on 18F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma
G Yin, Z Wang, Y Song, X Li, Y Chen, L Zhu… - Frontiers in …, 2021 - frontiersin.org
Objective The purpose of this study was to develop a deep learning-based system to
automatically predict epidermal growth factor receptor (EGFR) mutant lung adenocarcinoma …
automatically predict epidermal growth factor receptor (EGFR) mutant lung adenocarcinoma …
[HTML][HTML] Combination of 18f-fluorodeoxyglucose pet/ct radiomics and clinical features for predicting epidermal growth factor receptor mutations in lung …
S Li, Y Li, M Zhao, P Wang, J Xin - Korean Journal of Radiology, 2022 - ncbi.nlm.nih.gov
Objective To identify epidermal growth factor receptor (EGFR) mutations in lung
adenocarcinoma based on 18 F-fluorodeoxyglucose (FDG) PET/CT radiomics and clinical …
adenocarcinoma based on 18 F-fluorodeoxyglucose (FDG) PET/CT radiomics and clinical …