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Prediction of postoperative outcome of patients with idiopathic normal pressure hydrocephalus by machine learning algorithm based on multimodal magnetic resonance

Prediction of postoperative outcome of patients with idiopathic normal pressure hydrocephalus by machine learning algorithm based on multimodal magnetic resonance

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100052476
Enrollment
Unknown
Registered
2021-10-28
Start date
2022-01-01
Completion date
Unknown
Last updated
2022-10-17

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

Conditions

idiopathic normal pressure hydrocephalus

Interventions

Predictive Model Group:none
Validate Model Group:none

Sponsors

Huadong Hospital Hospital Affiliated to Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.iNPH patients undergoing selective cerebrospinal fluid shunt surgery; 2.Right-handed patients; 3.ASA is classified as grade ?~?.

Exclusion criteria

Exclusion criteria: 1. Combined with mental or movement disorders other than Alzheimer's disease (AD); 2. Those who have severe vision, hearing or language communication impairments and cannot complete the gait and cognitive tests; 3. There are clear brain trauma, subarachnoid hemorrhage, intracranial infection, etc. in the clinical history; 4. There are metal implants or pacemakers in the body and cannot cooperate with MRI examination; 5. The claustrophobic patient.

Design outcomes

Primary

MeasureTime frame
outcome of cerebrospinal fluid shunt;fMRI;—

Countries

China

Contacts

Public ContactLiu Songbin

Huadong Hospital Hospital Affiliated to Fudan University

liusongbinmh@163.com+86 13818937242

Outcome results

None listed

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