Skip to content

Application of spectral multi-parameter imaging combined with artificial intelligence in diagnosis and treatment of gastric cancer

Application of spectral multi-parameter imaging combined with artificial intelligence in diagnosis and treatment of gastric cancer

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400082707
Enrollment
Unknown
Registered
2024-04-03
Start date
2022-03-01
Completion date
Unknown
Last updated
2024-09-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gastric cancer

Interventions

Observational group:None

Sponsors

The First Affiliated Hospital of Zhengzhou University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. Pathological-confirmed diagnosis of gastric cancer; 2. Surgery: patients undergoing radical gastrectomy for gastric cancer. When intraoperative peritoneal metastasis or invasion of neighboring organs is found and radical surgery cannot be performed resection, patients who underwent exploratory laparotomy or palliative treatment were still included in this study; 3. CT scanning: For patients undergoing radical surgical resection, CT scans should be completed in GSI mode prior to surgery; for patients undergoing exploratory laparotomy or palliative tumour resection, CT scans should be completed in GSI mode prior to surgery; for patients undergoing neoadjuvant/palliative chemotherapy or immunotherapy, it should be ensured that CT scans are completed in GSI mode at least prior to treatment, and if it is possible to complete the CT scans in GSI mode during the course of the treatment it would be optimal to do so; 4. Signed informed consent. Inpatients with clinically suspicious gastric cancer who were admitted to the medical centers for GSI scanning were included in this study.

Exclusion criteria

Exclusion criteria: 1. Refusal or inability to sign the informed consent form; 2. Have received anti-tumor therapy before the CT examination; 3. Poor CT images or small lesions that do not show well on CT images; 4. Patients with other tumors combined with important organ insufficiency.

Design outcomes

Primary

MeasureTime frame
Dual-energy CT parameters;radiomics features;Deep learning features;

Secondary

MeasureTime frame
Clinical data;

Countries

China

Contacts

Public ContactJianbo Gao

The First Affiliated Hospital of Zhengzhou University

fccyisunshine@gs.zzu.edu.cn+86 135 2350 1393

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026