Cargando…
CT-Based Radiomics Showing Generalization to Predict Tumor Regression Grade for Advanced Gastric Cancer Treated With Neoadjuvant Chemotherapy
OBJECTIVE: The aim of this study was to develop and validate a radiomics model to predict treatment response in patients with advanced gastric cancer (AGC) sensitive to neoadjuvant therapies and verify its generalization among different regimens, including neoadjuvant chemotherapy (NAC) and molecula...
Autores principales: | Chen, Yong, Xu, Wei, Li, Yan-Ling, Liu, Wentao, Sah, Birendra Kumar, Wang, Lan, Xu, Zhihan, Wels, Michael, Zheng, Yanan, Yan, Min, Zhang, Huan, Ma, Qianchen, Zhu, Zhenggang, Li, Chen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913538/ https://www.ncbi.nlm.nih.gov/pubmed/35280802 http://dx.doi.org/10.3389/fonc.2022.758863 |
Ejemplares similares
-
Prediction Model of Tumor Regression Grade for Advanced Gastric Cancer After Preoperative Chemotherapy
por: Xu, Wei, et al.
Publicado: (2021) -
Neoadjuvant Chemotherapy Versus Direct Surgery for Locally Advanced Gastric Cancer With Serosal Invasion (cT4NxM0): A Propensity Score-Matched Analysis
por: Xu, Wei, et al.
Publicado: (2021) -
The Performance of a Dual-Energy CT Derived Radiomics Model in Differentiating Serosal Invasion for Advanced Gastric Cancer Patients After Neoadjuvant Chemotherapy: Iodine Map Combined With 120-kV Equivalent Mixed Images
por: Wang, Lingyun, et al.
Publicado: (2021) -
Neoadjuvant FLOT versus SOX phase II randomized clinical trial for patients with locally advanced gastric cancer
por: Sah, Birendra Kumar, et al.
Publicado: (2020) -
Dual-Energy Computed Tomography-Based Radiomics to Predict Peritoneal Metastasis in Gastric Cancer
por: Chen, Yong, et al.
Publicado: (2021)