Associations between somatic mutations and metabolic imaging phenotypes in non–small cell lung cancer

SSF Yip, J Kim, TP Coroller, C Parmar… - Journal of Nuclear …, 2017 - Soc Nuclear Med
PET-based radiomics have been used to noninvasively quantify the metabolic tumor
phenotypes; however, little is known about the relationship between these phenotypes and …

The role of artificial intelligence based on PET/CT radiomics in NSCLC: disease management, opportunities, and challenges

Q Hu, K Li, C Yang, Y Wang, R Huang, M Gu… - Frontiers in …, 2023 - frontiersin.org
Objectives Lung cancer has been widely characterized through radiomics and artificial
intelligence (AI). This review aims to summarize the published studies of AI based on …

[HTML][HTML] Predicting EGFR mutation subtypes in lung adenocarcinoma using 18F-FDG PET/CT radiomic features

Q Liu, D Sun, N Li, J Kim, D Feng, G Huang… - … lung cancer research, 2020 - ncbi.nlm.nih.gov
Background Identification of epidermal growth factor receptor (EGFR) mutation types is
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 …

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 …

A PET imaging approach for determining EGFR mutation status for improved lung cancer patient management

X Sun, Z Xiao, G Chen, Z Han, Y Liu, C Zhang… - Science translational …, 2018 - science.org
Tumor heterogeneity and changes in epidermal growth factor receptor (EGFR) mutation
status over time challenge the design of effective EGFR tyrosine kinase inhibitor (TKI) …

Can 18F-FDG PET/CT predict EGFR status in patients with non-small cell lung cancer? A systematic review and meta-analysis

B Du, S Wang, Y Cui, G Liu, X Li, Y Li - BMJ open, 2021 - bmjopen.bmj.com
Objectives This study aimed to explore the diagnostic significance of 18F-
fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/CT for predicting the …

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 …

Influx rate constant of 18F-FDG increases in metastatic lymph nodes of non-small cell lung cancer patients

M Yang, Z Lin, Z Xu, D Li, W Lv, S Yang, Y Liu… - European journal of …, 2020 - Springer
Purpose Primary tumor (PT) and metastatic lymph node (MLN) status have a great influence
on diagnosis and treatment of lung cancer. Our main purpose was to investigate the imaging …

The diagnostic and predictive efficacy of 18F-FDG PET/CT metabolic parameters for EGFR mutation status in non-small-cell lung cancer: a meta-analysis

Y Guo, H Zhu, Z Yao, F Liu, D Yang - European Journal of Radiology, 2021 - Elsevier
Purpose To investigate the predictive performance of the maximum standardized uptake
value (SUV max) and mean standardized uptake value (SUV mean) of primary lesions …