A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study

BACKGROUND: Accurate prediction of treatment response to neoadjuvant chemotherapy (NACT) in individual patients with locally advanced gastric cancer (LAGC) is essential for personalized medicine. We aimed to develop and validate a deep learning radiomics nomogram (DLRN) based on pretreatment contras...

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Detalles Bibliográficos
Autores principales: Cui, Yanfen, Zhang, Jiayi, Li, Zhenhui, Wei, Kaikai, Lei, Ye, Ren, Jialiang, Wu, Lei, Shi, Zhenwei, Meng, Xiaochun, Yang, Xiaotang, Gao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943416/
https://www.ncbi.nlm.nih.gov/pubmed/35340629
http://dx.doi.org/10.1016/j.eclinm.2022.101348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943416/
https://www.ncbi.nlm.nih.gov/pubmed/35340629
http://dx.doi.org/10.1016/j.eclinm.2022.101348

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