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Establish a diagnosis and treatment prediction model for benign and malignant gallbladder diseases through image data by using machine deep learning

Establish a diagnosis and treatment prediction model for benign and malignant gallbladder diseases through image data by using machine deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500111583
Enrollment
Unknown
Registered
2025-11-03
Start date
2025-03-11
Completion date
Unknown
Last updated
2025-11-11

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

Conditions

Gallbladder cancer

Interventions

Group Gallbladder:No
Group Benign Gallbladder diseases:No

Sponsors

Peking Union Medical College Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 70 Years

Inclusion criteria

Inclusion criteria: (1) Age: 20-70 years old; (2) There are ultrasound or CT examination image data from our hospital. (3) It can be a gallbladder disease, either benign or malignant. (4) No radiotherapy or chemotherapy was administered before the examination.

Exclusion criteria

Exclusion criteria: (1) Incomplete imaging data from ultrasound or CT examinations; (2) Patients who have undergone radiotherapy, chemotherapy, targeted therapy, immunotherapy, etc. before the operation; (3) The time when the patient underwent ultrasound or CT examination exceeded one month before the operation.

Design outcomes

Primary

MeasureTime frame
pathological ;—

Secondary

MeasureTime frame
neoplasm staging;—

Countries

China

Contacts

Public ContactXiaodong He

Peking Union Medical College, Beijing, China

hxdpumch@163.com+86 133 1136 0435

Outcome results

None listed

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