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Prediction of vascular invasion and prognosis of gastric cancer based on multiparametric MRI artificial intelligence model

Prediction of vascular invasion and prognosis of gastric cancer based on multiparametric MRI artificial intelligence model

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500099257
Enrollment
Unknown
Registered
2025-03-20
Start date
2025-03-20
Completion date
Unknown
Last updated
2025-03-24

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

Conditions

Gastric cancer

Interventions

Observation group:None

Sponsors

Shanxi Provincial Cancer Hospital/Chinese Academy of Medical Sciences Cancer Hospital Shanxi Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients with gastric cancer who have undergone radical gastric cancer resection in our hospital; 2. Without any treatment before surgical resection; 3. Standard upper abdominal MRI scan in our hospital within 20 days before surgery; 4. Complete clinical and pathological information of gastric cancer patients in our hospital from 2012 to July 2023.

Exclusion criteria

Exclusion criteria: 1. Preoperative treatment (neoadjuvant chemotherapy, radiotherapy); 2. Lack of any MRI sequences, including T2WI, DWI, and cT1WI; 3. Poor MRI image quality or heavy artifacts; 4. The lesions in the above MRI sequences are not visible.

Design outcomes

Primary

MeasureTime frame
Lymphovascular invasion;—

Secondary

MeasureTime frame
Prognosis;—

Countries

China

Contacts

Public ContactRuirui Song

Shanxi Provincial Cancer Hospital/Chinese Academy of Medical Sciences Cancer Hospital Shanxi Hospital

songrr1991@163.com+86 182 3402 6685

Outcome results

None listed

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