Skip to content

An application study of a CT-based deep learning model for automatic segmentation and predication of lymph node metastasis in gastric cancer

An application study of a CT-based deep learning model for automatic segmentation and predication of lymph node metastasis in gastric cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115203
Enrollment
Unknown
Registered
2025-12-23
Start date
2025-12-23
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Gastric cancer

Interventions

Gold Standard:The lymph node status determined by postoperative pathological reports served as the gold standard.
Index test:A CT-based deep learning model for lymph node segmentation and metastasis prediction.

Sponsors

THE FIRST HOSPITAL OF CHINA MEDICAL UNIVERSITY
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Histopathological confirmation of primary gastric adenocarcinoma; 2.No restriction on sex, and age >= 18 years; 3.Able to tolerate surgical treatment; 4.No contraindications to laparoscopic surgery; 5.No history of neoadjuvant therapy; 6.No concurrent or previous history of other malignant tumors; 7.No history of gastric surgery; 8.No contraindications to contrast-enhanced CT examination; 9.Underwent contrast-enhanced CT scan of the stomach or abdomen within 4 weeks before surgery, with image quality sufficient for diagnostic assessment and analysis; 10.Able to understand and voluntarily sign the informed consent form; 11.At least 16 lymph nodes dissected and retrieved postoperatively;

Exclusion criteria

Exclusion criteria: 1.Histopathological confirmation of non-adenocarcinoma gastric cancer, secondary gastric cancer, or Epstein–Barr virus (EBV)-associated gastric cancer; 2.Incomplete baseline clinical information; 3.Concurrent or previous history of other malignant tumors; 4.Received neoadjuvant therapy prior to surgery; 5.Unavailable preoperative CT images; 6.Poor image quality or inadequate gastric distension on preoperative CT affecting lesion identification and analysis; 7.Presence of contraindications to contrast-enhanced CT examination; 8.Presence of contraindications to surgical treatment; 9.Underwent emergency surgery due to acute complications; 10.History of prior gastric surgery or confirmed remnant gastric cancer; 11.Underwent palliative gastrectomy or gastroenteric anastomosis; 12.Fewer than 16 lymph nodes dissected and retrieved postoperatively;

Design outcomes

Primary

MeasureTime frame
Accuracy;

Secondary

MeasureTime frame
Lymph node dimensions;Sensitivity;Specificity;

Countries

China

Contacts

Public ContactZhenning Wang

THE FIRST HOSPITAL OF CHINA MEDICAL UNIVERSITY

josieon826@sina.cn+86 24 8328 2802

Outcome results

None listed

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