Actively Recruiting
Prediction of Peritoneal Metastasis for Gastric Cancer Based on Radiomics
Led by Chinese Academy of Sciences · Updated on 2023-02-14
400
Participants Needed
13
Research Sites
313 weeks
Total Duration
On this page
Sponsors
C
Chinese Academy of Sciences
Lead Sponsor
P
Peking University Cancer Hospital & Institute
Collaborating Sponsor
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Prediction of Peritoneal Metastasis for Gastric Cancer Based on Radiomics
Who Can Participate
Eligibility Criteria
You may qualify if you...
- (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.
You will not qualify if you...
- (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.
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 13 locations
1
Peking University Cancer Hospital & Institute
Beijing, China
Actively Recruiting
2
Fujian Medical University Union Hospital
Fuzhou, China
Actively Recruiting
3
Affiliated Cancer Hospital and Institute of Guangzhou Medical University
Guangzhou, China
Actively Recruiting
4
Guangdong Provincial People's Hospital
Guangzhou, China
Actively Recruiting
5
Nanfang Hospital of Southern Medical University
Guangzhou, China
Actively Recruiting
6
Sun Yat-Sen University Cancer Hospital
Guangzhou, China
Actively Recruiting
7
Guizhou Provincial People's Hospital
Guiyang, China
Actively Recruiting
8
Yunnan Cancer Hospital
Kunming, China
Actively Recruiting
9
Shanxi Province Cancer Hospital
Taiyuan, China
Actively Recruiting
10
Henan Cancer Hospital
Zhengzhou, China
Actively Recruiting
11
The First Affiliated Hospital of Zhengzhou University
Zhengzhou, China
Actively Recruiting
12
Zhenjiang First People's Hospital
Zhenjiang, China
Actively Recruiting
13
Scientific Institute San Raffaele
Milan, Italy
Actively Recruiting
Research Team
D
Di Dong, Ph.D
CONTACT
Y
Yali Zang, Ph.D
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
13
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