Machine Learning-Based Radiomics Nomogram for Detecting Extramural Venous Invasion in Rectal Cancer

OBJECTIVE: To establish and validate a radiomics nomogram based on the features of the primary tumor for predicting preoperative pathological extramural venous invasion (EMVI) in rectal cancer using machine learning. METHODS: The clinical and imaging data of 281 patients with primary rectal cancer f...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Siye, Yu, Xiaoping, Yang, Songhua, Hu, Pingsheng, Hu, Yingbin, Chen, Xiaoyan, Li, Yilin, Zhang, Zhe, Li, Cheng, Lu, Qiang
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/PMC8033032/
https://www.ncbi.nlm.nih.gov/pubmed/33842316
http://dx.doi.org/10.3389/fonc.2021.610338

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033032/
https://www.ncbi.nlm.nih.gov/pubmed/33842316
http://dx.doi.org/10.3389/fonc.2021.610338

Ejemplares similares