Predicting peritoneal metastasis in gastric cancer using radiomics
Official title: Prediction of Peritoneal Metastasis for Gastric Cancer Based on Radiomics: a Multi-center Prospective Study
Run by Chinese Academy of Sciences · NCT05722275 · Data updated 2026-11-12
This study is testing a new system that uses CT scans to help doctors predict the risk of cancer spreading in patients with advanced gastric cancer.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 400 (estimated) |
| Sponsor | Chinese Academy of Sciences Government |
| Locations | 13 sites (Beijing and 12 other locations) |
| Status | Recruiting |
| Started | January 1, 2023 |
| Main results expected | December 31, 2023 |
| Study ends | December 31, 2028 |
| Registry record updated | February 14, 2023 |
| Trial ID | NCT05722275 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients diagnosed with advanced gastric cancer (≥cT3) who do not show typical signs of peritoneal metastasis on CT.
✕Probably not a fit
Patients with previous abdominal surgeries or those with other malignancies or inflammatory diseases may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to develop an intelligent analysis system that utilizes radiomics to predict the risk of peritoneal metastasis in patients with advanced gastric cancer. By analyzing conventional CT images, the system will extract and combine relevant radiomic features to improve detection and facilitate timely treatment decisions. The study will validate the effectiveness of this approach through observational methods, focusing on patients diagnosed with advanced gastric cancer who meet specific eligibility criteria.
Why it matters
Potential benefit: If successful, this approach could lead to earlier detection of peritoneal metastasis, allowing for more timely and personalized treatment options for gastric cancer patients.
How similar studies have gone: While the use of radiomics in cancer detection is a growing field, this specific approach to predicting peritoneal metastasis in gastric cancer is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
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.
Where it's running
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Peking University Cancer Hospital & Institute
Beijing, China Recruiting -
Fujian Medical University Union Hospital
Fuzhou, China Recruiting -
Affiliated Cancer Hospital and Institute of Guangzhou Medical University
Guangzhou, China Recruiting -
Guangdong Provincial People's Hospital
Guangzhou, China Recruiting -
Nanfang Hospital of Southern Medical University
Guangzhou, China Recruiting -
Sun Yat-Sen University Cancer Hospital
Guangzhou, China Recruiting
Show 7 more locations
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Guizhou Provincial People's Hospital
Guiyang, China Recruiting -
Yunnan Cancer Hospital
Kunming, China Recruiting -
Shanxi Province Cancer Hospital
Taiyuan, China Recruiting -
Henan Cancer Hospital
Zhengzhou, China Recruiting -
The First Affiliated Hospital of Zhengzhou University
Zhengzhou, China Recruiting -
Zhenjiang First People's Hospital
Zhenjiang, China Recruiting -
Scientific Institute San Raffaele
Milan, Italy Recruiting
Study contacts
- Study coordinator: Di Dong, Ph.D
- Email: di.dong@ia.ac.cn
- Phone: +86 010-82618465
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.