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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

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Validating Knee Varus Alignment Measurements Using Markerless Motion Capture.

Kensuke Todoriki¹, Yoshihiro Kai², Shogo Mukai³

¹Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan.

Geriatrics (Basel, Switzerland)

|November 21, 2023

Summary

Markerless motion capture accurately measures knee varus alignment in osteoarthritis patients. This method is a valid tool for assessing femorotibial angle, correlating well with radiography.

Keywords:

femorotibial angle markerless motion capture validity

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Area of Science:

Orthopedics
Biomechanical Engineering
Medical Imaging

Background:

Knee osteoarthritis (OA) is a degenerative joint disease.
Varus alignment is a significant risk factor for knee OA progression.
Accurate measurement of knee alignment is crucial for diagnosis and treatment planning.

Purpose of the Study:

To validate markerless motion capture as a method for measuring knee varus alignment.
To compare femorotibial angle (FTA) measurements obtained via markerless motion capture with traditional radiography.
To assess the correlation between FTA and the severity of knee OA.

Main Methods:

Femorotibial angle (FTA) was measured using radiography and markerless motion capture in 34 knees of 19 OA patients.
Validation was performed by comparing markerless motion capture FTA with radiographic FTA.
Pearson's correlation coefficient and analysis of variance were used to assess validity and correlation with Kellgren-Lawrence (KL) classification.

Main Results:

Markerless motion capture demonstrated a strong, significant correlation with radiographic FTA measurements (r = 0.869, p < 0.01).
FTA measured by markerless motion capture significantly increased with higher Kellgren-Lawrence (KL) grades (p < 0.05).
The method proved reliable in assessing varus alignment in the study cohort.

Conclusions:

Markerless motion capture is a valid and reliable tool for measuring knee varus alignment in patients with knee OA.
This technology offers a promising non-invasive alternative to radiography for clinical assessment.
Accurate alignment measurement using markerless motion capture can aid in better management of knee OA.