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Development and transformation of deep learning convolutional neural network and electron beam melt 3D printing technology in acetabular defect reconstruction

Development and transformation of deep learning convolutional neural network and electron beam melt 3D printing technology in acetabular defect reconstruction

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2300074103
Enrollment
Unknown
Registered
2023-07-31
Start date
2023-07-31
Completion date
Unknown
Last updated
2023-08-07

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

Conditions

acetabular defects in revision hip arthroplasty

Interventions

control group:The control group used a traditional surgical approach with preoperative manual segmentation and manual 3D planning. After review by the operator, the augment .STL was generated and sen
The trial group:The trial group used AI-revision software for prospective preoperative planning, including sizing of the acetabular cup prosthesis, and intelligently generating a augment suitable for

Sponsors

The Fourth Medical Center, PLA General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: ? The subject is 18-75 years of age; ? The Subject is skeletally mature; ? The subject should have an indication for total hip revision surgery, and the acetabular defect is obvious and needs to be reconstructed with a cushion; ? Prior to surgery, the subject is willing and able to sign an informed consent form.

Exclusion criteria

Exclusion criteria: ? The subject's neuromuscular insufficiency (e.g., paralysis, rhabdomyolysis, or adductor weakness) will result in postoperative hip instability or gait abnormalities; ? The subject is mentally incapacitated or unable to understand the requirements for participation in the study; ? Alcoholics or drug addicts, substance abusers; ? Obese (BMI > 35); ? Poorly controlled diabetes (fasting blood glucose = 8.0 mmol/L with medication control); ? Severe hepatic and renal insufficiency, defined as: ALT or ALT > 2.5 times the upper limit of normal; serum creatinine > upper limit of normal; ? The subject is known to have a history of allergy to one or more of the implanted materials; ? Active infectious disease in the hip joint or other parts of the body; ? Severe osteoporosis, metabolic bone disease, radiological bone disease, tumor around the hip joint; ?Pregnant or lactating women or women who plan to pregnant within 12 months; ?Systemic diseases (including coagulation disorders, severe heart diseases, severe respiratory diseases, and others who cannot tolerate anesthesia or surgery); those who are frail or cannot tolerate surgery due to other systemic diseases, and those whose life expectancy is less than 2 years; ? The subject has participated in other drugs, biologics or medical devices clinical studies before enrollment and has not met the time limit of the primary study endpoint; ? The subject's comorbid other diseases that limit his/her participation in the study and prevent him/her from complying with the follow-up visits, thus affecting the scientific integrity of the study; ? The subject does not cooperate with or is unfavorable to the treatment and postoperative rehabilitation exercises, and is expected to have poor compliance.

Design outcomes

Primary

MeasureTime frame
Augment location compliance;Augment volume compliance;Superior migration distance of hip center;Prosthesis loosening/migrating rate;Prosthesis compliance;Augment compliance;

Secondary

MeasureTime frame
Harris Hip Score;WOMAC index;Forgotten Joint Score;Limb length discrepancy;Postoperative complication rate;Re-revision rate;Surgery planning time;

Countries

China

Contacts

Public ContactWei Chai

The Fourth Medical Center of People’s Liberation Army General Hospital, Beijing, China

chaiweiguanjie@sina.com+86 10 6693 8404

Outcome results

None listed

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