MARKERLESS MOTION CAPTURE FOR ASSESSING FRONTAL PLANE LOWER LIMB ALIGNMENT DURING STATIC AND DYNAMIC TASKS
Notice bibliographique
Résumé
Lower limb alignment and specifically the hip-knee-ankle-angle (HKAA), is increasingly being recognized as an important factor in operative planning for total knee arthroplasty (TKA) for patients with knee osteoarthritis (OA). Current clinical practice is to measure alignment from weight bearing radiographs. This static measurement may differ from alignment during the weightbearing stance phase of gait. Markerless motion capture is a novel biomechanical assessment tool that uses off-the-shelf video cameras to capture whole-body movements. The objective of our study was to evaluate HKAA during static and dynamic tasks for patients with predominantly medial or lateral knee OA. Patients diagnosed with knee OA were recruited from advanced care physiotherapists at an outpatient hospital. Markerless motion capture was used to measure whole body movements during a quiet standing task and during gait using eight synchronized Sony RX0 II video cameras at 60 Hz (Sony, Minato, Japan). During quiet stand, subjects stood upright with their feet facing forward and shoulder-width apart for thirty seconds. Gait was assessed during overground walking at a self-selected speed for one minute. Video data was processed with Theia3D (v. 2023.01.0.361 p7, Theia Markerless Inc. Kingston, ON). Visual3D (C-Motion, Germantown, MD) was used to provide gait event detection and estimate hip, knee, and ankle joint locations in three-dimensions at each frame. HKAA was calculated from the three-dimensional joint locations in the frontal plane. For the static quiet standing task, HKAA was averaged over the first five seconds of the standing task. During gait, dynamic HKAA was calculated as the peak angle prior to terminal stance. Correlation between static and dynamic HKAA were calculated and compared using the Bland and Altman approach. Classification of medial or lateral knee OA was done by an orthopaedic surgeon via radiographic evaluation. Dynamic HKAA was compared between medial and lateral knee OA patients (t-test). Static and dynamic HKAA were assessed for 160 knees in 102 patients (34 male, 68 female, mean age 67 years (SD 9)). The static HKAA from the quiet standing task (mean = 182.7 degrees, SD = 4.2) and the peak dynamic HKAA from the gait task (mean = 184.7 degrees SD = 4.6) were highly correlated (Pearson's r = 0.88, p < 0.001). Dynamic HKAA was on average two degrees more varus . Dynamic HKAA was significantly more varus for patients with medial OA (mean 185.9 degrees) than those with lateral OA (mean 176.7 degrees, p < 0.001, t-test). Dynamic peak HKAA measured with markerless motion capture was found to be strongly correlated with static HKAA. Markerless motion capture provides an alternative, low burden, radiation free assessment tool with high potential for clinical integration. The ability to assess dynamic tasks and dynamic parameters, such as HKAA throughout gait, means that markerless motion capture has the potential to provide enhanced assessments pre- and post-TKA.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».