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Evaluate the efficacy of neoadjuvant therapy for locally advanced gastric cancer based on imaging

Early Evaluation of Neoadjuvant Treatment of Gastric Cancer Based on Multi-series and Multi-phase CT Using Federated Learning and Artificial Intelligent Techniques

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400091029
Enrollment
Unknown
Registered
2024-10-18
Start date
2023-01-05
Completion date
Unknown
Last updated
2024-10-21

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:Surgical pathological biopsy
Index test:Multi-series and Multi-phase CT Using Federated Learning and Artificial Intelligent System

Sponsors

Guangdong Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1) Confirmed by biopsy pathology as gastric cancer; 2) There are multi-phase CT images before neoadjuvant therapy; 3) There is a complete neoadjuvant therapy with standardized procedures and complete clinical information; 4) Multi phase CT evaluation images after the second cycle of neoadjuvant therapy;

Exclusion criteria

Exclusion criteria: 1) Patients without CT images before or after 2 cycles of neoadjuvant therapy; 2) Patients who have not completed a complete cycle of neoadjuvant therapy; 3) Patients with missing imaging or pathological data; 4) Patients with distant metastasis.

Design outcomes

Primary

MeasureTime frame
Accuracy;AUC;

Secondary

MeasureTime frame
Sensitivity;Specificity;F1-score;Recall;

Countries

China

Contacts

Public ContactBingjiang Qiu

Guangdong Provincial People's Hospital

qiubj1990@163.com+86 136 9179 5314

Outcome results

None listed

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