Development of a prediction model for postoperative delirium using machine learning based on multimodal magnetic resonance imaging and electroencephalogram

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2100054079

Enrollment

Unknown

Registered

2021-12-08

Start date

2022-01-01

Completion date

Unknown

Last updated

2022-11-07

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

Conditions

Postoperative delirium

Interventions

Gold Standard:ICU Confusion Assessment or 3-Minute Delirium Diagnostic Scale.

Index test:A&#32

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model&#32

for&#32

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delirium&#32

using&#32

machine&#32

learning&#32

based&#32

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multimodal&#32

magnetic&#32

resonance&#32

imaging&#32

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electroencephalogram.

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Patients with elective non-cardiac major surgery (expected operation time greater than 2 hours); 2. Right-handed; 3. ASA classification is I-III.

Exclusion criteria

Exclusion criteria: 1. Patients with craniocerebral surgery; 2. There are severe visual, hearing or language communication impairments and cannot complete the test; 3. There are metal implants or pacemakers in the body, and MRI examination cannot be performed; 4. Patients with limited mobility such as fractures cannot cooperate with MRI examination; 5. The claustrophobic patient.

Design outcomes

Primary

Measure	Time frame
functional connectivity;voxel based morphometry;	—

Secondary

Measure	Time frame
fractional anisotropy;SEN, SPE, ACC, AUC of ROC, PPV, NPV;	—

Countries

China

Contacts

Public ContactGu Weidong

Huadong Hospital Affiliated to Fudan University

mcwgwd@163.com+86 18918169021

Outcome results

None listed

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