Cargando…

Performance of (18)F-FDG PET/CT Radiomics for Predicting EGFR Mutation Status in Patients With Non-Small Cell Lung Cancer

OBJECTIVE: To assess the performance of pretreatment (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) radiomics features for predicting EGFR mutation status in patients with non-small cell lung cancer (NSCLC). PATIENTS AND METHODS: We enrolled total 173 pa...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Min, Bao, Yiming, Rui, Weiwei, Shangguan, Chengfang, Liu, Jiajun, Xu, Jianwei, Lin, Xiaozhu, Zhang, Miao, Huang, Xinyun, Zhou, Yilei, Qu, Qian, Meng, Hongping, Qian, Dahong, Li, Biao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578399/ https://www.ncbi.nlm.nih.gov/pubmed/33134170 http://dx.doi.org/10.3389/fonc.2020.568857

Ejemplares similares

Utility of [(68)Ga]FAPI-04 and [(18)F]FDG dual-tracer PET/CT in the initial evaluation of gastric cancer
por: Miao, Ying, et al.
Publicado: (2022)

Cancer-associated fibroblasts enhance tumor (18)F-FDG uptake and contribute to the intratumor heterogeneity of PET-CT
por: Shangguan, Chengfang, et al.
Publicado: (2018)

Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy
por: Zhang, Miao, et al.
Publicado: (2022)

Predicting EGFR mutation subtypes in lung adenocarcinoma using (18)F-FDG PET/CT radiomic features
por: Liu, Qiufang, et al.
Publicado: (2020)

Predictive Power of a Radiomic Signature Based on (18)F-FDG PET/CT Images for EGFR Mutational Status in NSCLC
por: Li, Xiaofeng, et al.
Publicado: (2019)

Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma
por: Chen, Yu-Hung, et al.
Publicado: (2020)

Comparison of Nasopharyngeal MR, (18) F-FDG PET/CT, and (18) F-FDG PET/MR for Local Detection of Natural Killer/T-Cell Lymphoma, Nasal Type
por: Guo, Rui, et al.
Publicado: (2020)

Assessing radiomic feature robustness to interpolation in (18)F-FDG PET imaging
por: Whybra, Philip, et al.
Publicado: (2019)

Radiomic Features of (18)F-FDG PET in Hodgkin Lymphoma Are Predictive of Outcomes
por: Zhou, Yeye, et al.
Publicado: (2021)

The Influence of the Exclusion of Central Necrosis on [(18)F]FDG PET Radiomic Analysis
por: Noortman, Wyanne A., et al.
Publicado: (2021)

Performance of Multiparametric Functional Imaging and Texture Analysis in Predicting Synchronous Metastatic Disease in Pancreatic Ductal Adenocarcinoma Patients by Hybrid PET/MR: Initial Experience
por: Gao, Jing, et al.
Publicado: (2020)

Optimal (18)F-FDG PET/CT radiomics model development for predicting EGFR mutation status and prognosis in lung adenocarcinoma: a multicentric study
por: Zuo, Yan, et al.
Publicado: (2023)

Quantitative accuracy of radiomic features of low-dose (18)F-FDG PET imaging
por: Gao, Xin, et al.
Publicado: (2020)

Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules
por: de Koster, Elizabeth J., et al.
Publicado: (2022)

[(18)F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas
por: Noortman, Wyanne A., et al.
Publicado: (2022)

Predicting MYCN amplification in paediatric neuroblastoma: development and validation of a 18F-FDG PET/CT-based radiomics signature
por: Qian, Luo-Dan, et al.
Publicado: (2023)

Prediction for Mitosis-Karyorrhexis Index Status of Pediatric Neuroblastoma via Machine Learning Based (18)F-FDG PET/CT Radiomics
por: Feng, Lijuan, et al.
Publicado: (2022)

Disrupted coupling between salience network segregation and glucose metabolism is associated with cognitive decline in Alzheimer's disease – A simultaneous resting-state FDG-PET/fMRI study
por: Zhang, Miao, et al.
Publicado: (2022)

Value of (18)F-FDG PET/CT-Based Radiomics Nomogram to Predict Survival Outcomes and Guide Personalized Targeted Therapy in Lung Adenocarcinoma With EGFR Mutations
por: Yang, Bin, et al.
Publicado: (2020)

The predictive value of [(18)F]FDG PET/CT radiomics combined with clinical features for EGFR mutation status in different clinical staging of lung adenocarcinoma
por: Gao, Jianxiong, et al.
Publicado: (2023)

Baseline (18)F-FDG PET/CT radiomics for prognosis prediction in diffuse large B cell lymphoma
por: Jing, Fenglian, et al.
Publicado: (2023)

Radiomic assessment of oesophageal adenocarcinoma: a critical review of 18F-FDG PET/CT, PET/MRI and CT
por: O’Shea, Robert J., et al.
Publicado: (2022)

Impact of respiratory motion on (18)F‐FDG PET radiomics stability: Clinical evaluation with a digital PET scanner
por: Chen, Yu‐Hung, et al.
Publicado: (2023)

Preoperative prediction of pathological grade in pancreatic ductal adenocarcinoma based on (18)F-FDG PET/CT radiomics
por: Xing, Haiqun, et al.
Publicado: (2021)

Prediction of MYCN Amplification, 1p and 11q Aberrations in Pediatric Neuroblastoma via Pre-therapy 18F-FDG PET/CT Radiomics
por: Qian, Luodan, et al.
Publicado: (2022)

Radiomic analysis for predicting prognosis of colorectal cancer from preoperative (18)F-FDG PET/CT
por: Lv, Lilang, et al.
Publicado: (2022)

Frontiers and hotspots of (18)F-FDG PET/CT radiomics: A bibliometric analysis of the published literature
por: Liu, Xinghai, et al.
Publicado: (2022)

Application of 18F-FDG PET-CT Images Based Radiomics in Identifying Vertebral Multiple Myeloma and Bone Metastases
por: Jin, Zhicheng, et al.
Publicado: (2022)

The predictive value of (18)F-FDG PET/CT in an EGFR-mutated lung adenocarcinoma population
por: Wang, Jian, et al.
Publicado: (2022)

(18)F-FDG PET/CT-based radiomics nomogram could predict bone marrow involvement in pediatric neuroblastoma
por: Feng, Lijuan, et al.
Publicado: (2022)

Radiomics–clinical nomogram based on pretreatment 18F-FDG PET-CT radiomics features for individualized prediction of local failure in nasopharyngeal carcinoma
por: Ding, Jianming, et al.
Publicado: (2023)

(18)F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia
por: Li, Hebei, et al.
Publicado: (2019)

Influence of age on radiomic features in (18)F-FDG PET in normal breast tissue and in breast cancer tumors
por: Boughdad, Sarah, et al.
Publicado: (2018)

Ability of (18)F-FDG PET/CT Radiomic Features to Distinguish Breast Carcinoma from Breast Lymphoma
por: Ou, Xuejin, et al.
Publicado: (2019)

Radiomic Profiling of Head and Neck Cancer: (18)F-FDG PET Texture Analysis as Predictor of Patient Survival
por: Feliciani, G., et al.
Publicado: (2018)

Breast Tumor Characterization Using [(18)F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics
por: Krajnc, Denis, et al.
Publicado: (2021)

A review on advances in (18)F-FDG PET/CT radiomics standardisation and application in lung disease management
por: Anan, Noushin, et al.
Publicado: (2022)

Radiomics analysis improves (18)FDG PET/CT-based risk stratification of cytologically indeterminate thyroid nodules
por: Giovanella, Luca, et al.
Publicado: (2021)

Clinical Perspectives for (18)F-FDG PET Imaging in Pediatric Oncology: Μetabolic Tumor Volume and Radiomics
por: Lyra, Vassiliki, et al.
Publicado: (2022)

Multiparametric Integrated (18)F-FDG PET/MRI-Based Radiomics for Breast Cancer Phenotyping and Tumor Decoding
por: Umutlu, Lale, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_443bdefshof87urocine26g1kg