Cargando…
Computed Tomography-Based Radiomics Nomogram: Potential to Predict Local Recurrence of Gastric Cancer After Radical Resection
OBJECTIVE: Accurate prediction of postoperative recurrence risk of gastric cancer (GC) is critical for individualized precision therapy. We aimed to investigate whether a computed tomography (CT)-based radiomics nomogram can be used as a tool for predicting the local recurrence (LR) of GC after radi...
Autores principales: | Huang, Liebin, Feng, Bao, Li, Yueyue, Liu, Yu, Chen, Yehang, Chen, Qinxian, Li, Changlin, Huang, Wensi, Xue, Huimin, Li, Xuehua, Zhou, Tao, Li, Ronggang, Long, Wansheng, Feng, Shi-Ting |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445075/ https://www.ncbi.nlm.nih.gov/pubmed/34540653 http://dx.doi.org/10.3389/fonc.2021.638362 |
Ejemplares similares
-
A Transfer Learning Radiomics Nomogram for Preoperative Prediction of Borrmann Type IV Gastric Cancer From Primary Gastric Lymphoma
por: Feng, Bao, et al.
Publicado: (2022) -
A radiomics model to predict the invasiveness of thymic epithelial tumors based on contrast-enhanced computed tomography
por: Chen, Xiangmeng, et al.
Publicado: (2020) -
Predicting lymphovascular invasion in clinically node-negative breast cancer detected by abbreviated magnetic resonance imaging: Transfer learning vs. radiomics
por: Feng, Bao, et al.
Publicado: (2022) -
A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules
por: Chen, Xiangmeng, et al.
Publicado: (2020) -
A transfer learning nomogram for predicting prostate cancer and benign conditions on MRI
por: Chen, Junhao, et al.
Publicado: (2023)