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Predicting EGFR mutation status in non–small cell lung cancer using artificial intelligence: a systematic review and meta-analysis
Rationale and Objectives Recent advancements in artificial intelligence (AI) render a
substantial promise for epidermal growth factor receptor (EGFR) mutation status prediction …
substantial promise for epidermal growth factor receptor (EGFR) mutation status prediction …
Artificial intelligence-based prediction of clinical outcome in immunotherapy and targeted therapy of lung cancer
X Yin, H Liao, H Yun, N Lin, S Li, Y **ang… - Seminars in cancer biology, 2022 - Elsevier
Lung cancer accounts for the main proportion of malignancy-related deaths and most
patients are diagnosed at an advanced stage. Immunotherapy and targeted therapy have …
patients are diagnosed at an advanced stage. Immunotherapy and targeted therapy have …
[HTML][HTML] [18F] FDG-PET/CT radiomics and artificial intelligence in lung cancer: Technical aspects and potential clinical applications
Lung cancer is the second most common cancer and the leading cause of cancer-related
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [18F]FDG PET/CT features
FM de Jesus, Y Yin, E Mantzorou-Kyriaki… - European Journal of …, 2022 - Springer
Background One of the challenges in the management of patients with follicular lymphoma
(FL) is the identification of individuals with histological transformation, most commonly into …
(FL) is the identification of individuals with histological transformation, most commonly into …
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 …
PET/CT based EGFR mutation status classification of NSCLC using deep learning features and radiomics features
Purpose: This study aimed to compare the performance of radiomics and deep learning in
predicting EGFR mutation status in patients with lung cancer based on PET/CT images, and …
predicting EGFR mutation status in patients with lung cancer based on PET/CT images, and …
New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review
X Ge, J Gao, R Niu, Y Shi, X Shao, Y Wang… - Frontiers in …, 2023 - frontiersin.org
Lung cancer, the most frequently diagnosed cancer worldwide, is the leading cause of
cancer-associated deaths. In recent years, significant progress has been achieved in basic …
cancer-associated deaths. In recent years, significant progress has been achieved in basic …
The predictive value of [18F]FDG PET/CT radiomics combined with clinical features for EGFR mutation status in different clinical staging of lung adenocarcinoma
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 …
[HTML][HTML] Predictive value of 18F-FDG PET/CT radiomics for EGFR mutation status in non-small cell lung cancer: a systematic review and meta-analysis
N Ma, W Yang, Q Wang, C Cui, Y Hu, Z Wu - Frontiers in Oncology, 2024 - frontiersin.org
Objective This study aimed to evaluate the value of 18 F-FDG PET/CT radiomics in
predicting EGFR gene mutations in non-small cell lung cancer by meta-analysis. Methods …
predicting EGFR gene mutations in non-small cell lung cancer by meta-analysis. Methods …
Combination of 18F-fluorodeoxyglucose PET/CT radiomics and clinical features for predicting epidermal growth factor receptor mutations in lung adenocarcinoma
S Li, Y Li, M Zhao, P Wang, J **n - Korean Journal of …, 2022 - pmc.ncbi.nlm.nih.gov
Objective To identify epidermal growth factor receptor (EGFR) mutations in lung
adenocarcinoma based on 18F-fluorodeoxyglucose (FDG) PET/CT radiomics and clinical …
adenocarcinoma based on 18F-fluorodeoxyglucose (FDG) PET/CT radiomics and clinical …