The impact of tibial torsion measurements on gait analysis kinematics

Lucareli, Paulo Roberto Garcia; Santos, Nadia; Godoy, Wagner de; Bernal, Milena; Paes, Ângela Tavares; Júnior, Amâncio Ramalho

doi:10.1590/1413-78522014220500579

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…Several studies have highlighted di culties in accurately measuring tibial torsion and general internal/external rotation of the knee joint from marker-based approaches when compared to computed tomograph and goniometry. (22,23) We speculate that this could be related to foot deformities and smaller anatomical features of the pediatric CP foot proving di cult for the machine learning algorithm to identify.…”

Section: Discussionmentioning

confidence: 99%

Comparison of markerless and marker-based motion capture of gait kinematics in individuals with cerebral palsy and chronic stroke: A case study series

Steffensen

Magalhães

Knarr

et al. 2023

Preprint

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Background Three-dimensional (3D) motion analysis is an advanced tool used to quantify movement patterns in adults with chronic stroke and children with cerebral palsy. However, gold-standard marker-based systems have limitations for implementation in clinical settings. Markerless motion capture using Theia3D may provide a more accessible and clinically feasible alternative, but its accuracy is unknown in clinical populations. The purpose of this study was to quantify kinematic differences between marker-based and markerless motion capture systems in individuals with gait impairments. Methods Three adults with chronic stroke and three children with cerebral palsy completed overground walking trials while marker-based and markerless motion capture data were synchronously recorded. Time-series waveforms of 3D ankle, knee, hip, and trunk angles were stride normalized and compared. Root mean squared error, maximum peak, minimum peak, and range of motion were used to assess discrete point differences. Pearson's correlation and coefficient of multiple correlation were computed to assess similarity between the time series joint angle waveforms from both systems. Results This study demonstrates that markerless motion capture using Theia3D produces good agreement with marker-based in the measurement of gait kinematics at most joints and anatomical planes in individuals with chronic stroke and cerebral palsy. Conclusions This is the first investigation to study the feasibility of Theia3D markerless motion capture for use in chronic stroke and cerebral palsy gait analysis. Our results indicate that markerless motion capture may be an acceptable tool to measure gait kinematics in clinical populations to provide clinicians with objective movement assessment data.

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Section: Discussionmentioning

confidence: 99%

Comparison of markerless and marker-based motion capture of gait kinematics in individuals with cerebral palsy and chronic stroke: A case study series

Steffensen

Magalhães

Knarr

et al. 2023

Preprint

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“…Previous studies reported average values of ∼40° for typically developing children (Krishna et al, ; Kristiansen et al, ) and 55° for children with spina bifida (Joseph et al, ). As with Lucareli et al who measured tibial torsion using motion capture and goniometry in healthy adults, our tibial torsion measures from motion capture were similar to our clinical values (Lucareli et al, ).…”

Section: Discussionmentioning

confidence: 99%

A comparison of three methods of measuring tibial torsion in children with myelomeningocele and normally developing children

2017

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INTRODUCTION Abnormal tibial torsion is a common pediatric problem, and there are many existing measurement methods. The purpose of this study was to compare three methods of measuring tibial torsion for its evaluation: computed tomography, physical examination, and motion capture. MATERIALS AND METHODS Twenty healthy children and 20 children with myelomeningocele underwent measures of tibial torsion bilaterally. Measurements were compared using correlation and Bland-Altman plots of the difference between measurements. RESULTS All three measurements were moderately correlated in controls (r≥0.49, p≤0.002) and in patients (r≥0.51, p≤0.001). In controls, the motion capture measurements were on average 2° more lateral than the clinical measurements whereas motion capture and clinical measurements were 13° and 15° more medial than CT measurements, respectively. Similarly for patients, motion capture measurements were on average 5° more medial than clinical measurements, and motion capture and clinical measurements were 26° and 22° more medial than CT measurements. CONCLUSIONS The approximate 20° difference between the clinical or motion capture measures and the CT measure suggests that clinical evaluation identifies different axes than those defined based on skeletal anatomy. Clinical or motion capture methods may be used in lieu of imaging methods for measuring tibial torsion with the knowledge that these methods provide less lateral measurements than measurements obtained using CT.

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