Cargando…
Radiomics Signature as a Predictive Factor for EGFR Mutations in Advanced Lung Adenocarcinoma
Purpose: To develop and validate a radiomic signature to identify EGFR mutations in patients with advanced lung adenocarcinoma. Methods: This study involved 201 patients with advanced lung adenocarcinoma (140 in the training cohort and 61 in the validation cohort). A total of 396 features were extra...
Autores principales: | Hong, Duo, Xu, Ke, Zhang, Lina, Wan, Xiaoting, Guo, Yan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005234/ https://www.ncbi.nlm.nih.gov/pubmed/32082997 http://dx.doi.org/10.3389/fonc.2020.00028 |
Ejemplares similares
-
Prognostic Value of Pre-Treatment CT Radiomics and Clinical Factors for the Overall Survival of Advanced (IIIB–IV) Lung Adenocarcinoma Patients
por: Hong, Duo, et al.
Publicado: (2021) -
Radiomic Signatures for Predicting EGFR Mutation Status in Lung Cancer Brain Metastases
por: Zheng, Lie, et al.
Publicado: (2022) -
Development of a Nomogram Based on 3D CT Radiomics Signature to Predict the Mutation Status of EGFR Molecular Subtypes in Lung Adenocarcinoma: A Multicenter Study
por: Zhang, Guojin, et al.
Publicado: (2022) -
Can CT Radiomics Detect Acquired T790M Mutation and Predict Prognosis in Advanced Lung Adenocarcinoma With Progression After First- or Second-Generation EGFR TKIs?
por: Yang, Xiaohuang, 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)