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Endoscopic differential diagnosis of intestinal lymphoma and Crohn's disease based on deep learning

Endoscopic differential diagnosis of intestinal lymphoma and Crohn's disease based on deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500096063
Enrollment
Unknown
Registered
2025-01-16
Start date
2024-07-10
Completion date
Unknown
Last updated
2025-01-27

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

Conditions

Intestinal lymphoma

Interventions

Gold Standard:The gold standard for intestinal lymphoma is endoscopic biopsy or postoperative pathology, and the reference standard for Crohn's disease is the Chinese Crohn's Disease Diagnosis and Tre
Index test:Convolutional Neural Network Model

Sponsors

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
12 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. Patients with intestinal lymphoma diagnosed by endoscopic biopsy or postoperative paraffin-embedded pathology; 2. Patients with intestinal lymphoma have endoscopic imaging data for diagnosis of intestinal lymphoma before diagnosis; 3. Crohn's disease patients meet the diagnostic criteria for Crohn's disease in the 'Guidelines for the Diagnosis and Treatment of Crohn's Disease in China (Guangzhou, 2023)' developed by the Inflammatory Bowel Disease Group of the Chinese Society of Gastroenterology of the Chinese Medical Association; 4. Crohn's disease patients have endoscopic imaging data for the diagnosis of Crohn's disease before diagnosis;

Exclusion criteria

Exclusion criteria: 1.Combined with other intestinal diseases;

Design outcomes

Primary

MeasureTime frame
Accuracy;AUC;Sensitivity;Specificity;Diagnostic consistency;

Countries

China

Contacts

Public ContactZou Duowu

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

zdw_pi@126.com+86 21 64370045

Outcome results

None listed

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