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Multi-task transfer learning models based on multiparameter MRI for accurately quantifying pathology of liver fibrosis and therapeutic evaluation

Multi-task transfer learning models based on multiparameter MRI for accurately quantifying pathology of liver fibrosis and therapeutic evaluation

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400094497
Enrollment
Unknown
Registered
2024-12-24
Start date
2025-01-01
Completion date
Unknown
Last updated
2025-01-06

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

Conditions

liver fibrosis

Interventions

Gold Standard:Pathological results
Index test:Multi-task artificial intelligence

Sponsors

Zhujiang Hospital of Southern Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age of 18 years or older; 2.Preoperative Gd-EOB-DTPA enhanced MRI examination; 3.No antiviral treatment administered prior to the examination; 4.Patients with liver tumors who have not yet received local or systemic treatment.

Exclusion criteria

Exclusion criteria: 1.Image artifacts; 2.Surgical or puncture specimens do not fulfill the necessary criteria.

Design outcomes

Primary

MeasureTime frame
AUC;

Secondary

MeasureTime frame
Goodness of fit, calibration degree;

Countries

China

Contacts

Public ContactXianyue Quan

Zhujiang Hospital of Southern Medical University

quanxianyue@163.com+86 20 61643460

Outcome results

None listed

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