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Prediction of prognosis of LHI by machine learning model based on imaging and quantitative EEG

Prediction of prognosis of LHI by machine learning model based on imaging and quantitative EEG

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092937
Enrollment
Unknown
Registered
2024-11-26
Start date
2024-11-30
Completion date
Unknown
Last updated
2024-12-02

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

Conditions

large hemispheric infarction

Interventions

Sponsors

The First Hospital of Hebei Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Large area infarction of cerebral hemisphere confirmed by head CT or MRI. 2. Age over 18 years old. 3. Complete MRI and EEG examination within 3 days of onset. 4. Complete MRI sequence. 5. Complete demographic and clinical data; 6. The family member signed the informed consent form

Exclusion criteria

Exclusion criteria: 1. Cerebral hemorrhage; 2. Traumatic brain injury; 3. Previous neurological or mental illness; obvious artifacts in 4.MRI data; 5. Before the occurrence of this cerebral infarction, the mRS score was > 2; 6. Suffer from any end-stage disease with an expected survival period of less than 1 year

Design outcomes

Primary

MeasureTime frame
The main outcome was death within 3 months after onset of the disease;

Secondary

MeasureTime frame
MRS score at discharge;

Countries

China

Contacts

Public ContactTian Jia

The First Hospital of Hebei Medical University

15097392050@163.com+86 150 9739 2050

Outcome results

None listed

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