Literature DB >> 25456272

Interactive cervical motion kinematics: sensitivity, specificity and clinically significant values for identifying kinematic impairments in patients with chronic neck pain.

Hilla Sarig Bahat1, Xiaoqi Chen2, David Reznik3, Einat Kodesh3, Julia Treleaven2.   

Abstract

Chronic neck pain has been consistently shown to be associated with impaired kinematic control including reduced range, velocity and smoothness of cervical motion, that seem relevant to daily function as in quick neck motion in response to surrounding stimuli. The objectives of this study were: to compare interactive cervical kinematics in patients with neck pain and controls; to explore the new measures of cervical motion accuracy; and to find the sensitivity, specificity, and optimal cutoff values for defining impaired kinematics in those with neck pain. In this cross-section study, 33 patients with chronic neck pain and 22 asymptomatic controls were assessed for their cervical kinematic control using interactive virtual reality hardware and customized software utilizing a head mounted display with built-in head tracking. Outcome measures included peak and mean velocity, smoothness (represented by number of velocity peaks (NVP)), symmetry (represented by time to peak velocity percentage (TTPP)), and accuracy of cervical motion. Results demonstrated significant and strong effect-size differences in peak and mean velocities, NVP and TTPP in all directions excluding TTPP in left rotation, and good effect-size group differences in 5/8 accuracy measures. Regression results emphasized the high clinical value of neck motion velocity, with very high sensitivity and specificity (85%-100%), followed by motion smoothness, symmetry and accuracy. These finding suggest cervical kinematics should be evaluated clinically, and screened by the provided cut off values for identification of relevant impairments in those with neck pain. Such identification of presence or absence of kinematic impairments may direct treatment strategies and additional evaluation when needed.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Kinematics; Neck pain; Sensitivity; Virtual reality

Mesh:

Year:  2014        PMID: 25456272     DOI: 10.1016/j.math.2014.10.002

Source DB:  PubMed          Journal:  Man Ther        ISSN: 1356-689X


  15 in total

1.  Paths of the cervical instantaneous axis of rotation during active movements-patterns and reliability.

Authors:  William Venegas; Marta Inglés; Álvaro Page; Pilar Serra-Añó
Journal:  Med Biol Eng Comput       Date:  2020-03-19       Impact factor: 2.602

2.  Remote kinematic training for patients with chronic neck pain: a randomised controlled trial.

Authors:  Hilla Sarig Bahat; Kate Croft; Courtney Carter; Anna Hoddinott; Elliot Sprecher; Julia Treleaven
Journal:  Eur Spine J       Date:  2017-10-10       Impact factor: 3.134

3.  Neck motion kinematics: an inter-tester reliability study using an interactive neck VR assessment in asymptomatic individuals.

Authors:  Hilla Sarig Bahat; Elliot Sprecher; Itamar Sela; Julia Treleaven
Journal:  Eur Spine J       Date:  2016-01-30       Impact factor: 3.134

4.  Novel assessment of the variation in cervical inter-vertebral motor control in a healthy pain-free population.

Authors:  René Lindstrøm; Alexander Breen; Ning Qu; Alister du Rose; Victoria Blogg Andersen; Alan Breen
Journal:  Sci Rep       Date:  2021-05-24       Impact factor: 4.379

5.  Electronic measures of movement impairment, repositioning, and posture in people with and without neck pain-a systematic review.

Authors:  Bue Bonderup Hesby; Jan Hartvigsen; Hanne Rasmussen; Per Kjaer
Journal:  Syst Rev       Date:  2019-08-27

6.  A Novel Virtual Reality Technique (Cervigame®) Compared to Conventional Proprioceptive Training to Treat Neck Pain: A Randomized Controlled Trial.

Authors:  Rezaei I; Razeghi M; Ebrahimi S; Kayedi S; Rezaeian Zadeh A
Journal:  J Biomed Phys Eng       Date:  2019-06-01

7.  DYSKIMOT: An Ultra-Low-Cost Inertial Sensor to Assess Head's Rotational Kinematics in Adults during the Didren-Laser Test.

Authors:  Renaud Hage; Christine Detrembleur; Frédéric Dierick; Laurent Pitance; Laurent Jojczyk; Wesley Estievenart; Fabien Buisseret
Journal:  Sensors (Basel)       Date:  2020-02-04       Impact factor: 3.576

Review 8.  Validity and Reliability of Interactive Virtual Reality in Assessing the Musculoskeletal System: a Systematic Review.

Authors:  Mohammed Gumaa; Alaaeldin Khaireldin; Aliaa Rehan Youssef
Journal:  Curr Rev Musculoskelet Med       Date:  2021-01-29

9.  Analysis of sensorimotor control in people with and without neck pain using inertial sensor technology: study protocol for a 1-year longitudinal prospective observational study.

Authors:  Filippo Moggioli; Tomas Pérez-Fernández; Sonia Liébana; Elena Bocos Corredor; Susan Armijo-Olivo; Josue Fernandez-Carnero; Rafael Raya; Pablo Conde; Oscar Rodríguez-López; Cristina Sánchez; Aitor Martín-Pintado-Zugasti
Journal:  BMJ Open       Date:  2022-02-15       Impact factor: 2.692

10.  Intra and interrater reliability and clinical feasibility of a simple measure of cervical movement sense in patients with neck pain.

Authors:  Isabelle M Werner; Markus J Ernst; Julia Treleaven; Rebecca J Crawford
Journal:  BMC Musculoskelet Disord       Date:  2018-10-05       Impact factor: 2.362

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