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Screening infant developmental dysplasia of the hip with machine learning based on hip morphology

Screening infant developmental dysplasia of the hip with machine learning based on hip morphology

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1800018872
Enrollment
Unknown
Registered
2018-10-14
Start date
2019-01-01
Completion date
Unknown
Last updated
2018-10-22

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

Conditions

developmental dysplasia of the hip

Interventions

Gold Standard:MRI, CT,X-ray, Hip arthrography or surgery
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ultrasound&#32
image

Sponsors

Ultrasound department of Guangdong Women and Children Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Infant age form one to six month; 2. Height and weight in normal range; 3. The acetabular and femoral head could be detected with a high frequent ultrasound probe (>7MHz).

Exclusion criteria

Exclusion criteria: 1. Infant age above 6 month; 2. Pathological, teratologic,paralysis or spastic dislocation of the hip; 3. Cerebral palsy,multiple joint contracture, club foot or other neuromuscular conditions; 4. Rickets,malformation of femur ; 5. Femoral head could not be detected clearly because of the ossification; 6. Lost to follow up and could not get final diagnosis.

Design outcomes

Primary

MeasureTime frame
hip morphology;a angle;sensitivity;specificity;negative predictive value;negative predictive value;accuracy;AUROCs;—

Countries

China

Contacts

Public ContactChen Dan

Guangdong Women and Children Hospital

candycd@163.com+86 13622888999

Outcome results

None listed

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