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Search / Trial NCT05722275

Prediction of Peritoneal Metastasis for Gastric Cancer Based on Radiomics

Launched by CHINESE ACADEMY OF SCIENCES · Feb 1, 2023

Trial Information

Current as of July 22, 2025

Recruiting

Keywords

Artificial Intelligence Classification Gastric Cancer Peritoneal Metastases Computed Tomography Radiomics

ClinConnect Summary

This clinical trial is investigating a new way to predict the risk of peritoneal metastasis in patients with advanced gastric cancer. Peritoneal metastasis occurs when cancer spreads to the lining of the abdomen, which can be hard to detect early. The study aims to develop an intelligent system that analyzes CT scan images to find specific patterns (called radiomics features) associated with this type of cancer spread. By identifying these patterns, the system hopes to help doctors make more personalized treatment decisions for patients.

To participate in this trial, individuals must be diagnosed with advanced gastric cancer verified by a biopsy and have undergone both a special CT scan and laparoscopy (a minimally invasive surgery). They should not have any obvious signs of peritoneal metastasis on their CT scans or evidence of cancer spreading to other parts of the body. Participants can expect to contribute to important research that could improve the early detection of peritoneal metastasis, potentially leading to better treatment outcomes for others in the future.

Gender

ALL

Eligibility 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.

About Chinese Academy Of Sciences

The Chinese Academy of Sciences (CAS) is a prestigious national research institution dedicated to advancing scientific innovation and technology in China. As a leading sponsor of clinical trials, CAS integrates multidisciplinary expertise to foster groundbreaking research that addresses critical health challenges. With a strong emphasis on collaboration between academia and industry, CAS is committed to translating scientific discoveries into practical applications, thereby enhancing public health outcomes. Through its rigorous research protocols and adherence to international standards, CAS plays a pivotal role in the development of novel therapies and interventions, contributing to the global scientific community.

Locations

Guangzhou, , China

Taiyuan, , China

Fuzhou, , China

Zhengzhou, , China

Zhengzhou, , China

Guiyang, , China

Kunming, , China

Guangzhou, , China

Beijing, , China

Guangzhou, , China

Zhenjiang, , China

Guangzhou, , China

Milan, , Italy

Guangzhou, Guangzhou, China

Patients applied

0 patients applied

Timeline

First submit

Trial launched

Trial updated

Estimated completion

Not reported

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