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RECRUITING
NCT05722275

Prediction of Peritoneal Metastasis for Gastric Cancer Based on Radiomics

Sponsor: Chinese Academy of Sciences

View on ClinicalTrials.gov

Summary

Peritoneal metastasis of gastric cancer is difficult to be detected in time, thus delaying treatment. Based on the conventional CT images of gastric cancer, this study plans to develop, improve and validate an intelligent analysis system based on radiomics. By extracting and combining the radiomics features related to peritoneal metastasis of gastric cancer, the intelligent analysis system could predict the risk of peritoneal metastasis, and provide personalized decision suggestions for the treatment of gastric cancer.

Official title: Prediction of Peritoneal Metastasis for Gastric Cancer Based on Radiomics: a Multi-center Prospective Study

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

400

Start Date

2023-01-01

Completion Date

2028-12-31

Last Updated

2023-02-14

Healthy Volunteers

No

Interventions

DIAGNOSTIC_TEST

Peritoneal metastasis status ascertainment

Each participant with gastric cancer will undergo enhanced CT examination for detection of peritoneal metastasis. Within two weeks of CT examination, the participant will undergo diagnostic laparoscopy to confirm the status of peritoneal metastasis.

Locations (13)

Peking University Cancer Hospital & Institute

Beijing, China

Fujian Medical University Union Hospital

Fuzhou, China

Affiliated Cancer Hospital and Institute of Guangzhou Medical University

Guangzhou, China

Guangdong Provincial People's Hospital

Guangzhou, China

Nanfang Hospital of Southern Medical University

Guangzhou, China

Sun Yat-Sen University Cancer Hospital

Guangzhou, China

Guizhou Provincial People's Hospital

Guiyang, China

Yunnan Cancer Hospital

Kunming, China

Shanxi Province Cancer Hospital

Taiyuan, China

Henan Cancer Hospital

Zhengzhou, China

The First Affiliated Hospital of Zhengzhou University

Zhengzhou, China

Zhenjiang First People's Hospital

Zhenjiang, China

Scientific Institute San Raffaele

Milan, Italy