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Individualized 3D printing skull restoration based on artificial intelligence analysis and transmission data

Individualized 3D printing skull restoration based on artificial intelligence analysis and transmission data

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2000038813
Enrollment
Unknown
Registered
2020-10-04
Start date
2020-10-10
Completion date
Unknown
Last updated
2021-01-05

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

Conditions

Skull defect

Interventions

experimental group:basis treatment

Sponsors

Sichuan Academy of Medical Sciences · Sichuan Provincial people's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients aged from 14 to 74 years old; 2. Patients with skull defect area more than 3 * 3cm and normal intracranial pressure; 3. Patients are willing to accept customized personalized skull repair products for skull repair.

Exclusion criteria

Exclusion criteria: 1. There were patients with uncontrollable infection in cranioplasty operation area; 2. Patients who are bedridden for a long time are in poor physical condition and can not tolerate surgical repair.

Design outcomes

Primary

MeasureTime frame
Thin-section CT of the head;Skull defect area;Repair degree of skull defect;—

Countries

China

Contacts

Public ContactFeng Jinzhou

Sichuan Academy of Medical Sciences · Sichuan People's Hospital

feng720930@126.com+86 13688360199

Outcome results

None listed

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