Skip to content

The application value of ultrasonic multimodal technology and artificial intelligence algorithm in the diagnosis of gallbladder diseases

The application value of ultrasonic multimodal technology and artificial intelligence algorithm in the diagnosis of gallbladder diseases

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500110462
Enrollment
Unknown
Registered
2025-10-14
Start date
2024-10-10
Completion date
Unknown
Last updated
2025-10-20

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

Conditions

Gallbladder diseases

Interventions

Gallbladder polypoid lesion group:None
Thick-walled lesion group:None

Sponsors

Zhongshan Hospital, Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Patients with non-acute cholecystitis who have undergone imaging examinations such as ultrasound or CT and have been found to have gallbladder occupying or thick-walled lesions; 2. All patients are planned to receive surgical treatment; 3. Patients underwent routine ultrasound and contrast-enhanced ultrasound examinations within two weeks before surgical treatment; 4. Patients are aged between 18 and 80 years old.

Exclusion criteria

Exclusion criteria: 1 Patients who have received other comprehensive treatments (such as chemotherapy, radiotherapy, etc.) before the surgical operation; 2. Patients whose postoperative pathological diagnosis is only gallbladder stones; 3. Patients whose postoperative pathological diagnosis is unclear; 4. Patients with potential allergic risks to contrast-enhanced ultrasound.

Design outcomes

Primary

MeasureTime frame
Accuracy of artificial intelligence models in diagnosing malignant gallbladder lesions;

Secondary

MeasureTime frame
Cost-effectiveness of artificial intelligence network models in clinical practice;

Countries

China

Contacts

Public ContactXu Huixiong

Zhongshan Hospital, Fudan University

1364730590@qq.com+86 183 6272 3831

Outcome results

None listed

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