Status
Conditions
Treatments
About
Aging-induced changes in the spine can lead to adult spinal deformity, causing a forward and/or lateral shift of the trunk. While mild cases may have compensatory mechanisms, severe deformities necessitate treatment. Surgery with instrumentation effectively corrects deformities, but complications are common. Precise pre-operative planning based on X-rays is essential. However, radiological imaging has limitations, including ionizing radiation exposure and static nature. Marker-based optoelectronic motion analysis systems offer potential benefits for dynamic spine assessment.
This study aims to test the feasibility of using motion analysis systems to characterize spinal alignment and balance in patients with adult spine deformity. The primary objective is to assess the practical implementation, measurement capability, and resources required for motion analysis. Secondary objectives include investigating errors in absolute spinal curvature assessment and developing compensation strategies.
The project will recruit 20 patients (non-operated and operated) seeking medical attention for adult spine deformities and 10 healthy controls. Participants will undergo biplanar imaging and motion analysis to capture static and dynamic spine alignment during common activities. The data will help build patient-specific musculoskeletal models, offering potential insights into improving surgical planning for adult spine deformities.
Full description
Aging and degeneration can lead to changes in the spine, causing adult spinal deformities like loss of lumbar lordosis, thoracic hyperkyphosis, and scoliosis. Severe deformities can be highly debilitating, necessitating treatments. Surgery using instrumentation, such as pedicle screws, rods, and cages, can effectively correct adult spine deformities. However, complications and failures are common.
Precise pre-operative planning based on standing X-rays is crucial before attempting correction. Radiographic parameters, including pelvic incidence (PI), sagittal vertical axis (SVA), lumbar lordosis, thoracic kyphosis, coronal Cobb angles, and vertebral rotation, are measured to evaluate the patient's standing posture and compensatory mechanisms.
Limitations in traditional radiological imaging for spinal alignment assessment include ionizing radiation exposure and lack of information on dynamic spine responses during various activities. To address these limitations, marker-based optoelectronic motion analysis systems have been proposed to characterize dynamic spinal alignment and movement during different activities. This technology has shown promise in assessing spinal curvature changes reliably.
This research aims to investigate the feasibility of using optoelectronic motion analysis systems to characterize spinal alignment and balance in patients with adult spine deformity. The primary objective is to assess the practical implementation, measurement capability, and resources required for motion analysis. Secondary objectives include exploring potential strategies to compensate for errors in absolute spinal curvature assessment due to markers on soft tissue.
The study will recruit 20 patients seeking medical attention for adult spine deformities (divided into non-operated and operated subgroups) and 10 healthy controls. Participants will undergo biplanar imaging and motion analysis to capture static and dynamic spine alignment during various activities. The data obtained will be used to build patient-specific musculoskeletal models, offering potential insights into improving surgical planning for adult spine deformities.
The findings of this study may lead to advancements in understanding spinal deformities and help in developing personalized treatment strategies to improve outcomes for patients suffering from adult spine deformities.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
both male and female subjects
BMI < 30 kg/m2
cognitively intact
degenerative spinal deformity presenting with at least one criterion:
Exclusion criteria
Primary purpose
Allocation
Interventional model
Masking
30 participants in 3 patient groups
Loading...
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal