Prediction of prognosis of Wilson's disease by anti-copper treatment using transfer learning-quantitative MRI intelligent model

The study of migration learning-quantitative MRI intelligent model for predicting the prognosis of neurological Wilson's disease

Status

Active, not recruiting

Phases

Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2200058434

Enrollment

Unknown

Registered

2022-04-09

Start date

2022-04-01

Completion date

Unknown

Last updated

2024-01-08

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

Conditions

Wilson's disease

Interventions

Neuro-WD:Penicillamine, zinc

Hep-WD:Zinc

Control group:None

Eligibility

Sex/Gender

All

Age

10 Years to 64 Years

Inclusion criteria

Inclusion criteria: 1. Mild liver injury: WD and aminotransferase abnormalities (ALT> 80U /L and AST > 80U /L), diagnosis age 3).

Exclusion criteria

Exclusion criteria: 1. MR examination cannot be performed in patients with claustrophobia and metal implants; 2. Severe course of disease (frequent involuntary movement, epileptic state, disturbance of consciousness, inability to be taken off the ventilator, and other critical conditions); 3. The presence of other neuropsychiatric diseases.

Design outcomes

Primary

Measure	Time frame
Unified Wilson's Disease Rating Scale;	—

Countries

China

Contacts

Public ContactJianping Chu

The First Affiliated Hospital, Sun Yat-Sen University

chujping@mail.sysu.edu.cn+86 18620195866

Outcome results

None listed

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