Predictive value of multiple metabolic and heterogeneity parameters of 18F-FDG PET/CT for EGFR mutations in non-small cell lung cancer
A Shi, J Wang, Y Wang, G Guo, C Fan, J Liu - Annals of Nuclear Medicine, 2022 - Springer
Objectives To explore the value of multiple metabolic and heterogeneity parameters of 2-
deoxy-2-[fluorine-18] fluoro-D-glucose positron emission tomography/computed tomography …
deoxy-2-[fluorine-18] fluoro-D-glucose positron emission tomography/computed tomography …
Predictive value of intratumor metabolic and heterogeneity parameters on [18F]FDG PET/CT for EGFR mutations in patients with lung adenocarcinoma
M Ni, S Wang, X Liu, Q Shi, X Zhu, Y Zhang… - Japanese Journal of …, 2023 - Springer
Purpose This study aimed to investigate the value of metabolic and heterogeneity
parameters of 2-deoxy-2 [18F] fluoro-D-glucose ([18F] FDG) positron emission …
parameters of 2-deoxy-2 [18F] fluoro-D-glucose ([18F] FDG) positron emission …
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 …
value (SUV max) and mean standardized uptake value (SUV mean) of primary lesions …
[HTML][HTML] Correlations Study Between 18F-FDG PET/CT Metabolic Parameters Predicting Epidermal Growth Factor Receptor Mutation Status and Prognosis in Lung …
B Yang, QG Wang, M Lu, Y Ge, YJ Zheng, H Zhu… - Frontiers in …, 2019 - frontiersin.org
Purpose: This study assessed the ability of metabolic parameters from
18Fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG …
18Fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG …
Primary metabolic tumor volume from 18F-FDG PET/CT associated with epidermal growth factor receptor mutation in lung adenocarcinoma patients
X Liao, Y Cui, X Chen, L Di, Z Tong… - Nuclear Medicine …, 2020 - journals.lww.com
Purpose To explore the potential parameters from 18 F-FDG PET/CT that might be
associated with the epidermal growth factor receptor (EGFR) gene mutation status in lung …
associated with the epidermal growth factor receptor (EGFR) gene mutation status in lung …
Lung adenocarcinoma: development of nomograms based on PET/CT images for prediction of epidermal growth factor receptor mutation status and subtypes
L Huang, Y Cao, F Zhou, J Li, J Ren… - Nuclear Medicine …, 2022 - journals.lww.com
Objective To develop nomograms that combine clinical characteristics, computed
tomographic (CT) features and 18 F-fluorodeoxyglucose PET (18 F-FDG PET) metabolic …
tomographic (CT) features and 18 F-fluorodeoxyglucose PET (18 F-FDG PET) metabolic …
[HTML][HTML] 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 …
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 …
fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/CT for predicting the …
[HTML][HTML] The predictive value of [18F]FDG PET/CT radiomics combined with clinical features for EGFR mutation status in different clinical staging of lung …
J Gao, R Niu, Y Shi, X Shao, Z Jiang, X Ge, Y Wang… - EJNMMI research, 2023 - Springer
Background This study aims to construct radiomics models based on [18F] FDG PET/CT
using multiple machine learning methods to predict the EGFR mutation status of lung …
using multiple machine learning methods to predict the EGFR mutation status of lung …
Biological Significance of 18F-FDG PET/CT Maximum Standard Uptake Value for Predicting EGFR Mutation Status in Non-Small Cell Lung Cancer Patients
Y Wang, R Han, Q Wang, J Zheng, C Lin… - … journal of general …, 2021 - Taylor & Francis
Purpose To investigate the potential of maximum standardized uptake value (SUVmax) in
predicting epidermal growth factor receptor (EGFR) mutation status in non-small cell lung …
predicting epidermal growth factor receptor (EGFR) mutation status in non-small cell lung …
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