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To establish a noninvasive ultrasonic diagnosis model of liver fibrosis based on artificial intelligence technology

To establish a noninvasive ultrasonic diagnosis model of liver fibrosis based on artificial intelligence technology

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000037662
Enrollment
Unknown
Registered
2020-08-29
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-11-02

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

Conditions

liver fibrosis

Interventions

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Sponsors

Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: Has the following 1 or more than 1 of the liver fibrosis or cirrhosis diagnosis or auxiliary diagnostic basis 1. A biopsy of the liver indicates fibrosis or cirrhosis; 2. Computerized tomography (CT) scan indicates fibrosis or cirrhosis of the liver; 3. Magnetic resonance imaging (MRI) suggests fibrosis or cirrhosis; 4. Fibroscan have shown that the LEVEL of LSM exceeds 9.4kPa, indicating fibrosis or cirrhosis.

Exclusion criteria

Exclusion criteria: Nil

Design outcomes

Primary

MeasureTime frame
Portal vein diameter ;Portal venous flow velocity;The diameter of the right branch of portal vein;Blood flow velocity of right branch of portal vein;Sagittal diameter of portal vein;Blood flow velocity in sagittal part of portal vein;SWE;SWD;Spleen size;Diameter of splenic vein;Flow velocity of splenic vein;

Countries

China

Contacts

Public ContactZiqi Chu

Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine

phoebe.chuu@hotmail.com+86 15601619545

Outcome results

None listed

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