Quantifying spinal gait kinematics using an enhanced optical motion capture approach in adolescent idiopathic scoliosis.

Schmid, Stefan; Studer, Daniel; Hasler, Carlo-Claudius; Romkes, Jacqueline; Taylor, William R.; Lorenzetti, Silvio; Brunner, Reinald (2016). Quantifying spinal gait kinematics using an enhanced optical motion capture approach in adolescent idiopathic scoliosis. Gait & Posture, 44, pp. 231-237. Elsevier 10.1016/j.gaitpost.2015.12.036

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Background and purpose The pathogenesis of adolescent idiopathic scoliosis (AIS) remains poorly understood. Previous research has indicated possible relationships between kinematics of the spine, pelvis and lower extremities during gait and the progression of AIS, but adequate evidence on spinal kinematics is lacking. The aim of this study was to provide a detailed assessment of spinal gait kinematics in AIS patients compared to asymptomatic controls. Methods Fourteen AIS patients and 15 asymptomatic controls were included. Through introducing a previously validated enhanced trunk marker set, sagittal and frontal spinal curvature angles as well as general trunk kinematics were measured during gait using a 12-camera Vicon motion capture system. Group comparisons were conducted using T-tests and relationships between kinematic parameters and severity of scoliosis (Cobb angle) were investigated using regression analyses. Results The sagittal thoracic curvature angle in AIS patients showed on average 10.7° (4.2°, 17.3°) less kyphosis but 4.9° (2.3°, 7.6°) more range of motion (Cobb angle-dependent (R2 = 0.503)). In the frontal plane, thoracic and thoracolumbar/lumbar curvature angles indicated average lateral deviations in AIS patients. General trunk kinematics and spatio-temporal gait parameters, however, did not show any clinically relevant differences between the groups. Conclusions This demonstrates that the dynamic functionality of the scoliotic spine can be assessed using advanced non-invasive optical approaches and that these should become standard in clinical gait analysis. Furthermore, curvature angle data might be used to drive sophisticated computer simulation models in order to gain an insight into the dynamic loading behavior of the scoliotic spine during gait.

Item Type:

Journal Article (Original Article)

Division/Institute:

School of Health Professions
School of Health Professions > Physiotherapy
School of Health Professions > Physiotherapy > Spinal Movement Biomechanics

Name:

Schmid, Stefan0000-0001-5138-9800;
Studer, Daniel;
Hasler, Carlo-Claudius;
Romkes, Jacqueline;
Taylor, William R.;
Lorenzetti, Silvio and
Brunner, Reinald

ISSN:

0966-6362

Publisher:

Elsevier

Submitter:

Admin import user

Date Deposited:

29 Oct 2019 11:25

Last Modified:

18 Dec 2020 13:27

Publisher DOI:

10.1016/j.gaitpost.2015.12.036

ARBOR DOI:

10.24451/arbor.5979

URI:

https://arbor.bfh.ch/id/eprint/5979

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