Clinical value of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers
10.3760/cma.j.cn441530-20250301-00075
- VernacularTitle:医学影像人工智能对胃肠道癌腹膜转移诊疗的临床价值
- Author:
Mengjie FANG
1
;
Di DONG
1
;
Jie TIAN
1
Author Information
1. 中国科学院分子影像重点实验室 中国科学院自动化研究所，北京 100190
- Publication Type:Journal Article
- Keywords:
Gastrointestinal neoplasms;
Artificial intelligence;
Medical image;
Peritoneal metastasis;
Precision medicine
- From:
Chinese Journal of Gastrointestinal Surgery
2025;28(5):473-480
- CountryChina
- Language:Chinese
-
Abstract:
Peritoneal metastasis is a key factor in the poor prognosis of advanced gastrointestinal cancer patients. Traditional radiological diagnostic faces challenges such as insufficient sensitivity. Through technologies like radiomics and deep learning, artificial intelligence can deeply analyze the tumor heterogeneity and microenvironment features in medical images, revealing markers of peritoneal metastasis and constructing high-precision predictive models. These technologies have demonstrated advantages in tasks such as predicting peritoneal metastasis, assessing the risk of peritoneal recurrence, and identifying small metastatic foci during surgery. This paper summarizes the representative progress and application prospects of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis, and discusses potential development directions such as multimodal data fusion and large model. The integration of medical imaging artificial intelligence with clinical practice is expected to advance personalized and precision medicine in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers.
