Predictive value of multiple metabolic and heterogeneity parameters of 18F-FDG PET/CT for EGFR mutations in non-small cell lung cancer

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 ( 18 F-FDG PET/CT) in predicting epidermal growth factor receptor gene (EGFR) mutations in non-small cell lung cancer (NSCLC...

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Veröffentlicht in:	Annals of nuclear medicine 2022-04, Vol.36 (4), p.393-400
Hauptverfasser:	Shi, Aiqi, Wang, Jianling, Wang, Yuzhu, Guo, Guorong, Fan, Chouchou, Liu, Jiangyan
Format:	Artikel
Sprache:	eng
Schlagworte:	Adenocarcinoma Coefficient of variation Computed tomography Diagnostic systems Epidermal growth factor Epidermal growth factor receptors Fluorine Fluorine isotopes Glucose Glycolysis Growth factors Heterogeneity Imaging Lesions Lung cancer Mathematical models Medicine Medicine & Public Health Metabolism Multivariate analysis Mutation Non-small cell lung carcinoma Nuclear Medicine Original Article Parameters Patients Positron emission Positron emission tomography Prediction models Radiology Regression analysis Small cell lung carcinoma Smoking Tomography Tumors
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