Building Radiomics Models Based on Triple-Phase CT Images Combining Clinical Features for Discriminating the Risk Rating in Gastrointestinal Stromal Tumors

We aimed to build radiomics models based on triple-phase CT images combining clinical features to predict the risk rating of gastrointestinal stromal tumors (GISTs). A total of 231 patients with pathologically diagnosed GISTs from July 2012 to July 2020 were categorized into a training data set (82...

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Detalles Bibliográficos
Autores principales: Shao, Meihua, Niu, Zhongfeng, He, Linyang, Fang, Zhaoxing, He, Jie, Xie, Zongyu, Cheng, Guohua, Wang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689687/
https://www.ncbi.nlm.nih.gov/pubmed/34950578
http://dx.doi.org/10.3389/fonc.2021.737302

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689687/
https://www.ncbi.nlm.nih.gov/pubmed/34950578
http://dx.doi.org/10.3389/fonc.2021.737302

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