Cargando…
A CT-based radiomics signature for evaluating tumor infiltrating Treg cells and outcome prediction of gastric cancer
BACKGROUND: Tumor infiltrating regulatory T (TITreg) cells are highly infiltrated in gastric cancer (GC) and associated with worse prognosis of GC patients. We aim to develop and validate a radiomics signature for evaluation of TITreg cells and outcome prediction of GC patients. METHODS: A total of...
Autores principales: | Gao, Xujie, Ma, Tingting, Bai, Shuai, Liu, Ying, Zhang, Yuwei, Wu, Yupeng, Li, Hui, Ye, Zhaoxiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210140/ https://www.ncbi.nlm.nih.gov/pubmed/32395513 http://dx.doi.org/10.21037/atm.2020.03.114 |
Ejemplares similares
-
A CT-based radiomics signature for prediction of HER2 overexpression and treatment efficacy of trastuzumab in advanced gastric cancer
por: Ma, Tingting, et al.
Publicado: (2022) -
A multiphase contrast-enhanced CT radiomics model for prediction of human epidermal growth factor receptor 2 status in advanced gastric cancer
por: Ma, Tingting, et al.
Publicado: (2022) -
A machine learning-based radiomics model for prediction of tumor mutation burden in gastric cancer
por: Ma, Tingting, et al.
Publicado: (2023) -
The value of machine learning based radiomics model in preoperative detection of perineural invasion in gastric cancer: a two-center study
por: Gao, Xujie, et al.
Publicado: (2023) -
CT-Based Peritumoral and Intratumoral Radiomics as Pretreatment Predictors of Atypical Responses to Immune Checkpoint Inhibitor Across Tumor Types: A Preliminary Multicenter Study
por: He, Shuai, et al.
Publicado: (2021)