Literature DB >> 33202314

Quantifying varus thrust in knee osteoarthritis using wearable inertial sensors: A proof of concept.

Kerry E Costello1, Samantha Eigenbrot2, Alex Geronimo2, Ali Guermazi3, David T Felson1, Jim Richards4, Deepak Kumar5.   

Abstract

BACKGROUND: Varus thrust during walking, visualized as excessive frontal plane knee motion during weight acceptance, is a modifiable risk factor for progression of knee osteoarthritis. However, visual assessment does not capture thrust severity and quantification with optical motion capture is often not feasible. Inertial sensors may provide a convenient alternative to optical motion capture. This proof-of-concept study sought to compare wearable inertial sensors to optical motion capture for the quantification of varus thrust.
METHODS: Twenty-six participants with medial knee osteoarthritis underwent gait analysis at self-selected and fast speeds. Linear regression with generalized estimating equations assessed associations between peak knee adduction velocity or knee adduction excursion from optical motion capture and peak thigh or shank adduction velocity from two inertial sensors on the lower limb. Relationships between inertial measures and peak external knee adduction moment were assessed as a secondary aim.
FINDINGS: Both thigh and shank inertial sensor measures were associated with the optical motion capture measures for both speeds (P < 0.001 to P = 0.020), with the thigh measures having less variability than the shank. After accounting for age, sex, body mass index, radiographic severity, and limb alignment, thigh adduction velocity was also associated with knee adduction moment at both speeds (both P < 0.001).
INTERPRETATION: An inertial sensor placed on the mid-thigh can quantify varus thrust in people with medial knee osteoarthritis without the need for optical motion capture. This single sensor may be useful for risk screening or evaluating the effects of interventions in large samples.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adduction; Angular velocity; Gyroscope; Motion capture

Mesh:

Year:  2020        PMID: 33202314      PMCID: PMC7749075          DOI: 10.1016/j.clinbiomech.2020.105232

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  39 in total

1.  Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes.

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Journal:  J Biomech       Date:  2002-05       Impact factor: 2.712

2.  Varus thrust in medial knee osteoarthritis: quantification and effects of different gait-related interventions using a single case study.

Authors:  Michael A Hunt; Anthony G Schache; Rana S Hinman; Kay M Crossley
Journal:  Arthritis Care Res (Hoboken)       Date:  2011-02       Impact factor: 4.794

3.  Dynamic knee loads during gait predict proximal tibial bone distribution.

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4.  Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association.

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Journal:  Arthritis Rheum       Date:  1986-08

Review 5.  OsiriX: an open-source software for navigating in multidimensional DICOM images.

Authors:  Antoine Rosset; Luca Spadola; Osman Ratib
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

6.  The effects of specific medical conditions on the functional limitations of elders in the Framingham Study.

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7.  Adduction moment increases with age in healthy obese individuals.

Authors:  Katerina Blazek; Jessica L Asay; Jennifer Erhart-Hledik; Thomas Andriacchi
Journal:  J Orthop Res       Date:  2013-06-04       Impact factor: 3.494

8.  Association of varus thrust with prevalent patellofemoral osteoarthritis: A cross-sectional study.

Authors:  Hirotaka Iijima; Naoto Fukutani; Yuko Yamamoto; Masakazu Hiraoka; Kazuyuki Miyanobu; Masashi Jinnouchi; Eishi Kaneda; Takuya Isho; Tomoki Aoyama; Hiroshi Kuroki; Shuichi Matsuda
Journal:  Gait Posture       Date:  2017-08-31       Impact factor: 2.840

9.  Estimation of the Knee Adduction Moment and Joint Contact Force during Daily Living Activities Using Inertial Motion Capture.

Authors:  Jason M Konrath; Angelos Karatsidis; H Martin Schepers; Giovanni Bellusci; Mark de Zee; Michael S Andersen
Journal:  Sensors (Basel)       Date:  2019-04-09       Impact factor: 3.576

10.  IMU-based joint angle measurement for gait analysis.

Authors:  Thomas Seel; Jörg Raisch; Thomas Schauer
Journal:  Sensors (Basel)       Date:  2014-04-16       Impact factor: 3.576

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  4 in total

Review 1.  Inertial Measurement Units and Application for Remote Health Care in Hip and Knee Osteoarthritis: Narrative Review.

Authors:  Michael J Rose; Kerry E Costello; Samantha Eigenbrot; Kaveh Torabian; Deepak Kumar
Journal:  JMIR Rehabil Assist Technol       Date:  2022-06-02

Review 2.  A Systematic Review of Diagnostic Accuracy and Clinical Applications of Wearable Movement Sensors for Knee Joint Rehabilitation.

Authors:  Robert Prill; Marina Walter; Aleksandra Królikowska; Roland Becker
Journal:  Sensors (Basel)       Date:  2021-12-09       Impact factor: 3.576

Review 3.  Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches.

Authors:  Yun Xin Teoh; Khin Wee Lai; Juliana Usman; Siew Li Goh; Hamidreza Mohafez; Khairunnisa Hasikin; Pengjiang Qian; Yizhang Jiang; Yuanpeng Zhang; Samiappan Dhanalakshmi
Journal:  J Healthc Eng       Date:  2022-02-18       Impact factor: 2.682

4.  Applied Assessment Method for Varus Thrust during Walking in Patients with Knee Osteoarthritis Using Acceleration Data Measured by an Inertial Measurement Unit.

Authors:  Shogo Misu; So Tanaka; Kohei Ishihara; Tsuyoshi Asai; Tomohiko Nishigami
Journal:  Sensors (Basel)       Date:  2022-08-27       Impact factor: 3.847

  4 in total

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