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Quantitative analysis and applied research on bone age assessment of children based on deep learning neural network

Quantitative analysis and applied research on bone age assessment of children based on deep learning neural network

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000038165
Enrollment
Unknown
Registered
2020-09-11
Start date
2020-09-29
Completion date
Unknown
Last updated
2020-11-30

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

Conditions

children growth, bone age

Interventions

Gold Standard:Gold standard bone age was confirmed by a number of experts with more than five years of BAA experience and participated in China 2005 bone age training, the mean bone age value of each
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Sponsors

Children's Hospital Affiliated to Capital Institute of Pediatrics
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Children aged 7-18 years who visited the children's Hospital Affiliated to Capital Institute of Pediatrics from 2009 to 2019; 2. The patients with complete history and relevant data were evaluated by wrist X-ray during the outpatient visit.

Exclusion criteria

Exclusion criteria: 1. Children who have received or are receiving growth hormone, gonadotropin releasing hormone analogues, sex hormone preparations and glucocorticoids; 2. Children with various organic diseases, such as genetic metabolic diseases, rickets or osteochondral developmental disorders; 3. Patients with skeletal deformity, trauma, severed fingers and incomplete display of all wrist bones on X-ray films; 4. Patients with various developmental behavior abnormalities and psychological diseases.

Design outcomes

Primary

MeasureTime frame
Bone age;SEN, SPE, ACC, AUC of ROC;

Countries

China

Contacts

Public ContactLin Wang

Children's Hospital Affiliated to Capital Institute of Pediatrics

caroldoctor@126.com+86 13501362346

Outcome results

None listed

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