Prediction of Peritoneal Metastasis for Gastric Cancer Based on Radiomics

Recruiting

• Conditions: Peritoneal Metastases; Gastric Cancer

• Registration Number: NCT05722275
• Lead Sponsor: Chinese Academy of Sciences

Brief 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.

Detailed Description

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.

Study Timeline

• Study First Submitted: 2022-12-30
• Study Start: 2023-01-01
• Status Verified: 2023-02
• Study First Submitted QC: 2023-02-01
• Study First Posted: 2023-02-10
• Last Update Submitted: 2023-02-12
• Last Update Posted: 2023-02-14
• Primary Completion: 2023-12-31
• Study Completion: 2028-12-31

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 400

Inclusion Criteria

• (1) diagnosed advanced gastric cancer (≥cT3) by endoscopy-biopsy pathology, combined with CT and/or endoscopic ultrasound;
• (2) with both enhanced CT and laparoscopy;
• (3) without typical peritoneal metastasis indications in CT (diffuse omental nodules or omental cake, large amount of ascites, obvious irregular thickening with high peritoneal enhancement);
• (4) without other evidence of distant metastasis, and no stage IV features on CT.

Exclusion Criteria

• (1) previous abdominal surgery;
• (2) previous abdominal malignancies or inflammatory diseases;
• (3) time intervals between CT and laparoscopy longer than 2 weeks;
• (4) CT image artifacts that undermine peritoneal lesion assessment.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
The aera under the receiver operating characteristic curve (AUC) of intelligent analysis system	three months	AUC of the intelligent analysis system in predicting peritoneal metastasis for gastric cancer.

Secondary Outcome Measures

Name	Time	Method
The accuray of intelligent analysis system in predicting peritoneal metastasis	three months	The agreement between the prediction outcome of intelligent analysis system and the golden standard of peritoneal metastasis.

Trial Locations

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

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