Clinical Research Directory

Computer-Assisted Comparison of Hip Socket Volume and Surface Shape After Pediatric Acetabular Osteotomies

The goal of this observational study is to learn how four acetabular osteotomy techniques change the shape of the hip socket in children and adolescents with developmental dysplasia of the hip or residual acetabular dysplasia. The main questions it aims to answer are: How do virtual Salter, Dega, San Diego, and Pemberton osteotomies differ in acetabular volume and surface shape on participant-specific three-dimensional models? How closely does the virtual result of the osteotomy actually performed match the early postoperative magnetic resonance imaging (MRI)? Participants will have a three-dimensional pelvis-acetabulum model created from preoperative MRI. Researchers will perform virtual Salter, Dega, San Diego, and Pemberton osteotomies on that model and measure the resulting acetabular morphology. The virtual result of the osteotomy actually performed will then be compared with the participant's early postoperative MRI.

Evaluation of a Software Application for Assessment of Developmental Dysplasia of the Hip

The goal of this prospective, multicentre clinical investigation is to evaluate whether an artificial intelligence (AI)-supported software application can assist clinicians in the diagnostic assessment of developmental dysplasia of the hip (DDH) during routine ultrasound screening in infants. The main questions it aims to answer are: Does the diagnostic classification generated by the application agree with the classification obtained by physicians using standard ultrasound examination according to the Graf method? Can the application reliably identify key anatomical landmarks and angles required for DDH assessment? Researchers will compare the AI-generated diagnostic results with those obtained from standard ultrasound examinations performed by physicians to evaluate the level of agreement between the two approaches. Participants will: undergo a routine hip ultrasound examination performed by a physician according to the Graf method, have ultrasound images analyzed by the application, have the AI-generated results compared with the physician's assessment.