CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma

PURPOSE: To develop and validate a machine learning classifier based on multidetector computed tomography (MDCT), for the preoperative prediction of tumor–stroma ratio (TSR) expression in patients with pancreatic ductal adenocarcinoma (PDAC). MATERIALS AND METHODS: In this retrospective study, 227 p...

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Detalles Bibliográficos
Autores principales: Meng, Yinghao, Zhang, Hao, Li, Qi, Liu, Fang, Fang, Xu, Li, Jing, Yu, Jieyu, Feng, Xiaochen, Zhu, Mengmeng, Li, Na, Jing, Guodong, Wang, Li, Ma, Chao, Lu, Jianping, Bian, Yun, Shao, Chengwei
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/PMC8606777/
https://www.ncbi.nlm.nih.gov/pubmed/34820324
http://dx.doi.org/10.3389/fonc.2021.707288

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606777/
https://www.ncbi.nlm.nih.gov/pubmed/34820324
http://dx.doi.org/10.3389/fonc.2021.707288

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