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Validation of neuromusculoskeletal simulations of aged spines

Validation of neuromusculoskeletal simulations of aged spines

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00040261
Enrollment
20
Registered
2026-05-07
Start date
2026-06-03
Completion date
Unknown
Last updated
2026-06-22

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

Conditions

M40 M42 M51 M53

Interventions

Group 1: EOSedge@ images of the thoracolumbar spine of patients are processed to 3D geometrical models, soft tissue elements are included and material parameters adjusted to age, sex and weight to dev

Sponsors

Universitätsklinikum Jena, Experimentelle Orthopädie
Lead Sponsor

Eligibility

Sex/Gender
All
Age
50 Years to 90 Years

Inclusion criteria

Inclusion criteria: - EOSedge® imaging of the spine (at least the complete thoracolumbar region) in the orthopedic outpatient clinic based on a medical indication and with sufficient EOS image quality - Ability to independently perform simple trunk movements (flexion, extension, lateral bending, axial rotation) and walking on a treadmill - Written informed consent

Exclusion criteria

Exclusion criteria: - Previous spinal surgeries (e.g., fusion, implants, disc prostheses, injections) - Diseases or functional limitations that significantly impair motion analysis, such as severe central neurological or musculoskeletal disorders - Pronounced scoliosis (> 20° Cobb angle) - Obesity (BMI > 30 kg/m²) - Active implants or devices that could interfere with electromagnetic measurements - Pregnancy - Lack of capacity to provide informed consent

Design outcomes

Primary

MeasureTime frame
The spinal load sharing amongst ligaments, disks, muscles and facet joints during active movements is examined with the help of patient-specific in silico models and related to age, sex and spinopelvic parameters of the patients. The corresponding in silico models are created based on medical images. Predicted results are validated with kinematics and muscle stimulation data after movement analysis of the same patients.

Secondary

MeasureTime frame
1.) Classification of kinematic and muscle activation with respect to age, sex and spinopelvic parameters 2.) Uncertainty analysis of in silico spine model predictions depending on the level of model personalisation

Countries

Germany

Contacts

Public ContactMaria Hammer

Universitätsklinikum Jena, Experimentelle Orthopädie

maria.hammer@med.uni-jena.de+49 36691 81089

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Jun 29, 2026