Cargando…

Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma

BACKGROUND: To investigate the survival prognostic value of the radiomic features of (18)F-FDG PET in patients who had EGFR (epidermal growth factor receptor) mutated lung adenocarcinoma and received targeted TKI (tyrosine kinase inhibitor) treatment. METHODS: Fifty-one patients with stage III-IV lu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Yu-Hung, Wang, Tso-Fu, Chu, Sung-Chao, Lin, Chih-Bin, Wang, Ling-Yi, Lue, Kun-Han, Liu, Shu-Hsin, Chan, Sheng-Chieh
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769431/ https://www.ncbi.nlm.nih.gov/pubmed/33370365 http://dx.doi.org/10.1371/journal.pone.0244502

Ejemplares similares

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)

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

Prognostic Value of Baseline Radiomic Features of (18)F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma
por: Lue, Kun-Han, et al.
Publicado: (2020)

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

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)

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)

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

Development and validation of a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma
por: Cheng, Nai-Ming, et al.
Publicado: (2020)

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)

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)

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)

Prognostic Value of Combing Primary Tumor and Nodal Glycolytic–Volumetric Parameters of (18)F-FDG PET in Patients with Non-Small Cell Lung Cancer and Regional Lymph Node Metastasis
por: Chen, Yu-Hung, et al.
Publicado: (2021)

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

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)

A Novel Validated Recurrence Stratification System Based on (18)F-FDG PET/CT Radiomics to Guide Surveillance After Resection of Pancreatic Cancer
por: Wei, Miaoyan, et al.
Publicado: (2021)

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)

Correlation of EGFR or KRAS mutation status with (18)F-FDG uptake on PET-CT scan in lung adenocarcinoma
por: Takamochi, Kazuya, et al.
Publicado: (2017)

Performance of (18)F-FDG PET/CT Radiomics for Predicting EGFR Mutation Status in Patients With Non-Small Cell Lung Cancer
por: Zhang, Min, et al.
Publicado: (2020)

Preoperative (18)F-FDG PET/CT and CT radiomics for identifying aggressive histopathological subtypes in early stage lung adenocarcinoma
por: Choi, Wookjin, et al.
Publicado: (2023)

Metabolic Radiomics for Pretreatment (18)F-FDG PET/CT to Characterize Locally Advanced Breast Cancer: Histopathologic Characteristics, Response to Neoadjuvant Chemotherapy, and Prognosis
por: Ha, Seunggyun, et al.
Publicado: (2017)

Delayed (18)F-FDG PET/CT Appearance of Urachal Adenocarcinomas
por: Xu, Lian, et al.
Publicado: (2020)

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)

Prognostic value of pretreatment (18)F-FDG PET-CT for nasopharyngeal carcinoma patients
por: Huang, Yecai, et al.
Publicado: (2017)

Meta-analysis of the diagnostic performance of [(18)F]FDG-PET and PET/CT in renal cell carcinoma
por: Wang, Hsin-Yi, et al.
Publicado: (2012)

Diagnostic and Predictive Values of (18)F-FDG PET/CT Metabolic Parameters in EGFR-Mutated Advanced Lung Adenocarcinoma
por: Hong, Il Ki, et al.
Publicado: (2020)

Development and validation of a [(18)F]FDG PET/CT-based radiomics nomogram to predict the prognostic risk of pretreatment diffuse large B cell lymphoma patients
por: Li, Mingshan, 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)

Radiomic signatures based on pretreatment 18F-FDG PET/CT, combined with clinicopathological characteristics, as early prognostic biomarkers among patients with invasive breast cancer
por: Jia, Tongtong, et al.
Publicado: (2023)

An Integrated Radiomics Model Incorporating Diffusion-Weighted Imaging and (18)F-FDG PET Imaging Improves the Performance of Differentiating Glioblastoma From Solitary Brain Metastases
por: Zhang, Liqiang, et al.
Publicado: (2021)

Prediction of the Presence of Targetable Molecular Alteration(s) with Clinico-Metabolic (18) F-FDG PET Radiomics in Non-Asian Lung Adenocarcinoma Patients
por: Aide, Nicolas, et al.
Publicado: (2022)

P921: ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS FOR RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA
por: Shreve, Jacob, et al.
Publicado: (2023)

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

Prognostic Significance of Pretreatment Staging With (18)F-FDG PET in Esophageal Cancer: A Nationwide Population-Based Study
por: Lu, Hsi-Huei, et al.
Publicado: (2021)

Prognostic value of pretreatment (18)F-FDG PET-CT in radiotherapy for patients with hepatocellular carcinoma
por: Jo, In Young, et al.
Publicado: (2015)

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

Prognostic Value of Baseline (18)F-FDG PET/CT Functional Parameters in Patients with Advanced Lung Adenocarcinoma Stratified by EGFR Mutation Status
por: Wang, Dalong, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_0tpeclt7ne7joj90r6bk3mj0re