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Study for artificial intelligence accurate diagnosis of liver tumors with contrast enhanced ultrasound images

Study for artificial intelligence accurate diagnosis of liver tumors with contrast enhanced ultrasound images

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900027599
Enrollment
Unknown
Registered
2019-11-20
Start date
2019-08-01
Completion date
Unknown
Last updated
2019-11-25

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

Conditions

Liver tumors

Interventions

Gold Standard:Histopathologic examinations
Index test:Artificial&#32
intelligent&#32
diagnosis&#32
assistant&#32
method

Sponsors

The First Affiliated Hospital of Army Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. Patients aged <=18 years old; 2. Patients without allergic history of contrast enhanced ultrasound; 3. Patients with ultrasound, color Doppler, spectral Doppler and contrast enhanced ultrasound images; 4. Patients with the examination of Hepatic function, hepatitis B, tumor marker and blood routine examination; 5. Accept surgery or liver biopsy to obtain conclusive histopathological information.

Exclusion criteria

Exclusion criteria: Patients without conclusive histopathology or have doubt with histopathology.

Design outcomes

Primary

MeasureTime frame
Time-intensity curve of contrast enhanced ultrasound;—

Countries

China

Contacts

Public ContactGuo Yanli

The First Affiliated Hospital of Army Medical University

guoyanli71@aliyun.com+86 13608351873

Outcome results

None listed

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