Cargando…
Development and validation of a CT radiomics and clinical feature model to predict omental metastases for locally advanced gastric cancer
“”We employed radiomics and clinical features to develop and validate a preoperative prediction model to estimate the omental metastases status of locally advanced gastric cancer (LAGC). A total of 460 patients (training cohort, n = 250; test cohort, n = 106; validation cohort, n = 104) with LAGC wh...
Autores principales: | Wu, Ahao, Wu, Changlei, Zeng, Qingwen, Cao, Yi, Shu, Xufeng, Luo, Lianghua, Feng, Zongfeng, Tu, Yi, Jie, Zhigang, Zhu, Yanyan, Zhou, Fuqing, Huang, Ya, Li, Zhengrong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213037/ https://www.ncbi.nlm.nih.gov/pubmed/37231100 http://dx.doi.org/10.1038/s41598-023-35155-y |
Ejemplares similares
-
CT-based radiomic nomogram for preoperative prediction of DNA mismatch repair deficiency in gastric cancer
por: Zeng, Qingwen, et al.
Publicado: (2022) -
Development and validation of a predictive model combining clinical, radiomics, and deep transfer learning features for lymph node metastasis in early gastric cancer
por: Zeng, Qingwen, et al.
Publicado: (2022) -
Deep learning model for diagnosing early gastric cancer using preoperative computed tomography images
por: Zeng, Qingwen, et al.
Publicado: (2022) -
Hub gene identification and molecular subtype construction for Helicobacter pylori in gastric cancer via machine learning methods and NMF algorithm
por: Luo, Lianghua, et al.
Publicado: (2023) -
Identification of Circular RNA-Based Immunomodulatory Networks in Colorectal Cancer
por: Feng, Zongfeng, et al.
Publicado: (2022)