Cargando…
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer
BACKGROUND: The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a first-line therapy for non-small cell lung cancer (NSCLC) with EGFR mutations. Approximately half of the patients with EGFR-mutated NSCLC are treated with EGFR-TKIs and develop disease progression within...
Autores principales: | Lu, Chia-Feng, Liao, Chien-Yi, Chao, Heng-Sheng, Chiu, Hwa-Yen, Wang, Ting-Wei, Lee, Yen, Chen, Jyun-Ru, Shiao, Tsu-Hui, Chen, Yuh-Min, Wu, Yu-Te |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854198/ https://www.ncbi.nlm.nih.gov/pubmed/36670497 http://dx.doi.org/10.1186/s40644-023-00522-5 |
Ejemplares similares
-
Radiomics of metastatic brain tumor as a predictive image biomarker of progression-free survival in patients with non-small-cell lung cancer with brain metastasis receiving tyrosine kinase inhibitors
por: Wang, Ting-Wei, et al.
Publicado: (2023) -
Evaluating the Potential of Delta Radiomics for Assessing Tyrosine Kinase Inhibitor Treatment Response in Non-Small Cell Lung Cancer Patients
por: Wang, Ting-Wei, et al.
Publicado: (2023) -
Application of Radiomics in Prognosing Lung Cancer Treated with Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors: A Systematic Review and Meta-Analysis
por: Wang, Ting-Wei, et al.
Publicado: (2023) -
Radiomics-Based Deep Learning Prediction of Overall Survival in Non-Small-Cell Lung Cancer Using Contrast-Enhanced Computed Tomography
por: Hou, Kuei-Yuan, et al.
Publicado: (2022) -
Association of EGFR Tyrosine Kinase Inhibitor Treatment With Progression-Free Survival Among Taiwanese Patients With Advanced Lung Adenocarcinoma and EGFR Mutation
por: Chen, Po-Yen, et al.
Publicado: (2021)