Progress in TN staging of rectal cancer based on multimodal magnetic resonance imaging
10.3760/cma.j.cn121382-20221114-00112
- VernacularTitle:基于多模态磁共振图像的直肠癌TN分期方法研究进展
- Author:
Jing SUN
1
;
Yang CHEN
;
Xuewen HOU
;
Jing GONG
;
Tong TONG
;
Shouqiang JIA
;
Shengdong NIE
Author Information
1. 上海理工大学健康科学与工程学院，上海 200093
- Keywords:
Rectal cancer;
Multimodal magnetic resonance images;
Radiomics;
Deep learning
- From:
International Journal of Biomedical Engineering
2023;46(1):66-73
- CountryChina
- Language:Chinese
-
Abstract:
Rectal cancer is one of the most common gastrointestinal malignancies in China. Accurate and reasonable assessment of the preoperative staging of rectal cancer can significantly enhance treatment outcomes and improve patient prognosis. Magnetic resonance imaging is the technique of choice for local staging of rectal cancer and has significant advantages in the diagnosis of rectal primary tumors (T) and peri-intestinal lymph nodes (N). In this review paper, the research ideas and progress of traditional radiomics and deep learning methods for preoperative TN staging prediction of rectal cancer were reviewed around multimodal magnetic resonance images, with the aim of providing new ideas for realizing fully automated TN staging algorithms for rectal cancer.
