Preoperative prediction of tumor deposits in rectal cancer with clinical-magnetic resonance deep learning-based radiomic models

BACKGROUND: This study aimed to establish an effective model for preoperative prediction of tumor deposits (TDs) in patients with rectal cancer (RC). METHODS: In 500 patients, radiomic features were extracted from magnetic resonance imaging (MRI) using modalities such as high-resolution T2-weighted...

Descripción completa

Detalles Bibliográficos
Autores principales: Fu, Chunlong, Shao, Tingting, Hou, Min, Qu, Jiali, Li, Ping, Yang, Zebin, Shan, Kangfei, Wu, Meikang, Li, Weida, Wang, Xuan, Zhang, Jingfeng, Luo, Fanghong, Zhou, Long, Sun, Jihong, Zhao, Fenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986582/
https://www.ncbi.nlm.nih.gov/pubmed/36890815
http://dx.doi.org/10.3389/fonc.2023.1078863

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986582/
https://www.ncbi.nlm.nih.gov/pubmed/36890815
http://dx.doi.org/10.3389/fonc.2023.1078863

Ejemplares similares