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Clinical study on Intelligent Diagnosis of metabolic associated fatty liver disease in children based on ultrasound tissue characterization imaging

Clinical study on Intelligent Diagnosis of metabolic associated fatty liver disease in children based on ultrasound tissue characterization imaging

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036284
Enrollment
Unknown
Registered
2020-08-22
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-09-07

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

Conditions

metabolic associated fatty liver disease

Interventions

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ultrasound&#32
imaging
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Index test:ultrasound&#32
characterization&#32
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intelligent&#32

Sponsors

Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
8 Years to 16 Years

Inclusion criteria

Inclusion criteria: Children suspicious for metabolic associated fatty liver disease, aged 8-16 years, and met any of the following: 1) Overweight or obesity; 2) type II diabetes; 3) metabolic disorders.

Exclusion criteria

Exclusion criteria: 1) Moderate or above drinking; 2) history of chronic liver disease; 3) medication related to liver steatosis; 4) contraindications of magnetic resonance imaging; 5) unsuitable for this study.

Design outcomes

Primary

MeasureTime frame
MRI;SEN, SPE, ACC, AUC of ROC;

Countries

China

Contacts

Public ContactChen Yaqing

Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine

joychen1266@126.com+86 021-25077225

Outcome results

None listed

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