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Liver MRI Foundation Model-Driven Non-Invasive Assessment of Fibrosis: A Multicenter Study Design and Validation

Liver MRI Foundation Model-Driven Non-Invasive Assessment of Fibrosis: A Multicenter Study Design and Validation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114385
Enrollment
Unknown
Registered
2025-12-11
Start date
2026-01-01
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Non alcoholic fatty liver disease

Interventions

Gold Standard:Histopathological fibrosis staging (according to METAVIR or Brunt criteria) is used as the primary reference standard. In the absence of biopsy results, magnetic resonance elastography (
Index test:AI-driven Liver MRI Foundation Model based on self-supervised learning and multimodal fusion of conventional MRI sequences (T2WI, DWI/ADC, PDFF, R2*), producing patient-level fibrosis stage

Sponsors

Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years; 2. Patients who have completed routine MRI examinations of the upper abdomen or liver for various reasons; 3. Good image quality with clearly distinguishable liver structures; 4. No obvious artifacts or severe lesions affecting image interpretation.

Exclusion criteria

Exclusion criteria: 1. Patients with intrahepatic space-occupying lesions (tumors, cysts, etc.) or severe biliary diseases; 2. Conditions that seriously affect MRI signals, such as obstructive jaundice, acute hepatitis, or significant iron deposition; 3. Patients with incomplete clinical data.

Design outcomes

Primary

MeasureTime frame
Area Under the Receiver Operating Characteristic curve ;sensitivity;Specificity;Accuracy;F1-score;

Countries

China

Contacts

Public ContactXiao Liang

Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University

srrshlx@163.com+86 13588708506

Outcome results

None listed

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