Efficient 18F-fluorodeoxyglucose positron emission tomography/computed tomography-based machine learning model for predicting epidermal growth factor receptor mutations in non-small cell lung cancer

Abstract

Article: Efficient 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography-based machine learning model for predicting epidermal growth factor receptor mutations in non-small cell lung cancer - The Quarterly Journal of Nuclear Medicine and Molecular Imaging 2022 Apr 14 - Minerva Medica - Journals

This publication has 50 references indexed in Scilit:

Value of pre-therapy 18F-FDG PET/CT radiomics in predicting EGFR mutation status in patients with non-small cell lung cancer
European Journal of Nuclear Medicine and Molecular Imaging, 2019
Identifying EGFR mutations in lung adenocarcinoma by noninvasive imaging using radiomics features and random forest modeling
European Radiology, 2019
Identification of epidermal growth factor receptor mutations in pulmonary adenocarcinoma using dual-energy spectral computed tomography
European Radiology, 2018
Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors
European Radiology, 2018
The predictive value of CT-based radiomics in differentiating indolent from invasive lung adenocarcinoma in patients with pulmonary nodules
European Radiology, 2018
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 Chinese patients
European Journal of Nuclear Medicine and Molecular Imaging, 2017
Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery
European Journal of Nuclear Medicine and Molecular Imaging, 2017
18F-FDG PET/CT heterogeneity quantification through textural features in the era of harmonisation programs: a focus on lung cancer
European Journal of Nuclear Medicine and Molecular Imaging, 2016
Radiogenomic correlation in lung adenocarcinoma with epidermal growth factor receptor mutations: Imaging features and histological subtypes
European Radiology, 2016
Value of 18F-FDG uptake on PET/CT and CEA level to predict epidermal growth factor receptor mutations in pulmonary adenocarcinoma
European Journal of Nuclear Medicine and Molecular Imaging, 2014

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