Abnormal Scapular Kinematics In Symptomatic Acromioclavicular Arthritis. A Biomechanical Analysis Using Inertial Sensors

Volume 6, Issue 6, December 2021     |     PP. 696-708      |     PDF (739 K)    |     Pub. Date: November 30, 2021
DOI: 10.54647/cm32691    69 Downloads     4858 Views  

Author(s)

Christos K. Yiannakopoulos, School of Physical Education & Sport Science, National & Kapodistrian University of Athens, Greece
Iakovos Vlastos, School of Physical Education & Sport Science, National & Kapodistrian University of Athens, Greece
Georgios Kallinterakis, School of Physical Education & Sport Science, National & Kapodistrian University of Athens, Greece
Elina Gianzina, School of Physical Education & Sport Science, National & Kapodistrian University of Athens, Greece
Nikolaos Sachinis, School of Physical Education & Sport Science, National & Kapodistrian University of Athens, Greece

Abstract
Purpose: The purpose of this study was to non-invasively evaluate the scapula kinematics in a group of athletes with Acromioclavicular Joint (ACJ) arthritis using inertial sensors.
Methods: In this study 9 male overhead athletes with a mean age 33±5.9 years were enrolled with symptomatic ACJ osteoarthritis, secondary to Distal Clavicle Osteolysis. The dominant arm was affected in 7 cases. In all patients weight lifting was part of their daily exercise routine. Scapular kinematics was evaluated using an inertial measurement unit (IMU) consisting of a high-resolution accelerometer, gyroscope, and magnetometer. The IMUs were positioned in the upper and lower limbs, the scapula and sternum sensors. The patients were asked to perform shoulder abduction and forward flexion in the scapular axis and the displacement and rotational data of the movement were recorded using a dedicated software.
Results: Scapular motion was measurably affected in the symptomatic shoulder. The translation in abduction, measured in mm, was statistically significantly higher in the shoulder with ACJ osteoarthritis along the laterally directed x axis (23.54 ±7.1 mm vs 19.58 ±6.9 mm) and anteroposteriorly directed z axis (13.97 ± 2.97mm vs 7.17 ±4.73mm), The same finding was noticed in forward flexion for the z axis (14.03±2.53 mm vs 9.41±5.92 mm). The rotation, in rads, was significantly higher in the anteroposteriorly directed z axis (0.50±0.23 vs 0.37±0.052).
Conclusion: Scapular kinematics is affected in patients with symptomatic ACJ osteoarthritis as verified with the use of inertial sensors.

Keywords
Acromioclavicular Arthritis ;Distal Clavicle Osteolysis; Inertial Sensors; Scapular Kinematics; Shoulder

Cite this paper
Christos K. Yiannakopoulos, Iakovos Vlastos, Georgios Kallinterakis, Elina Gianzina, Nikolaos Sachinis, Abnormal Scapular Kinematics In Symptomatic Acromioclavicular Arthritis. A Biomechanical Analysis Using Inertial Sensors , SCIREA Journal of Clinical Medicine. Volume 6, Issue 6, December 2021 | PP. 696-708. 10.54647/cm32691

References

[ 1 ] De Baets L, van der Straaten R, Matheve T, Timmermans A (2017) Shoulder assessment according to the international classification of functioning by means of inertial sensor technologies: A systematic review. Gait Posture 57:278-294
[ 2 ] Bavan L, Surmacz K, Beard D, Mellon S, Rees J (2019) Adherence monitoring of rehabilitation exercise with inertial sensors: A clinical validation study. Gait Posture 70:211–217
[ 3 ] Burn MB, McCulloch PC, Lintner DM, Liberman SR, Harris JD (2016) Prevalence of Scapular Dyskinesis in Overhead and Nonoverhead Athletes. Orthop J Sport Med 4(2)
[ 4 ] Carnevale A, Longo UG, Schena E, Massaroni C, Lo Presti D, Berton A, Candela V, Denaro V (2019) Wearable systems for shoulder kinematics assessment: A systematic review. BMC Musculoskelet Disord 20:546-569
[ 5 ] Coley B, Jolles BM, Farron A, Bourgeois A, Nussbaumer F, Pichonnaz C, Aminian K (2007) Outcome evaluation in shoulder surgery using 3D kinematics sensors. Gait Posture 25:523–532
[ 6 ] Frigg A, Song D, Willi J, Freiburghaus AU, Grehn H (2019) Seven-year course of asymptomatic acromioclavicular osteoarthritis diagnosed by MRI. J Shoulder Elb Surg 28:e344–e351
[ 7 ] Gumina S, Carbone S, Postacchini F (2009) Scapular Dyskinesis and SICK Scapula Syndrome in Patients With Chronic Type III Acromioclavicular Dislocation. Arthrosc - J Arthrosc Relat Surg 25:40–45
[ 8 ] Huang TS, Ou HL, Huang CY, Lin JJ (2015) Specific kinematics and associated muscle activation in individuals with scapular dyskinesis. J Shoulder Elb Surg 24:1227–1234
[ 9 ] Hung Y jou, Darling WG (2014) Scapular orientation during planar and three-dimensional upper limb movements in individuals with anterior glenohumeral joint instability. Physiother Res Int 19:34–43
[ 10 ] Kibler W Ben, Sciascia A (2016) The role of the scapula in preventing and treating shoulder instability. Knee Surgery, Sport. Traumatol. Arthrosc.24:390-397
[ 11 ] Kijima T, Matsuki K, Ochiai N, Yamaguchi T, Sasaki Y, Hashimoto E, Sasaki Y, Yamazaki H, Kenmoku T, Yamaguchi S, Masuda Y, Umekita H, Banks SA, Takahashi K (2015) In vivo 3-dimensional analysis of scapular and glenohumeral kinematics: Comparison of symptomatic or asymptomatic shoulders with rotator cuff tears and healthy shoulders. J Shoulder Elb Surg 24:1817–1826
[ 12 ] Lawrence RL, Braman JP, Laprade RF, Ludewig PM (2014) Comparison of 3-dimensional shoulder complex kinematics in individuals with and without shoulder pain, part 1: Sternoclavicular, acromioclavicular, and scapulothoracic joints. J Orthop Sports Phys Ther 44:636–645
[ 13 ] Lefèvre-Colau MM, Nguyen C, Palazzo C, Srour F, Paris G, Vuillemin V, Poiraudeau S, Roby-Brami A, Roren A (2018) Kinematic patterns in normal and degenerative shoulders. Part II: Review of 3-D scapular kinematic patterns in patients with shoulder pain, and clinical implications. Ann. Phys. Rehabil. Med 61:46-53
[ 14 ] Mall NA, Foley E, Chalmers PN, Cole BJ, Romeo AA, Bach BR (2013) Degenerative joint disease of the acromioclavicular joint: A review. Am J Sports Med 41:2684–2692
[ 15 ] Muro-de-la-Herran A, García-Zapirain B, Méndez-Zorrilla A (2014) Gait analysis methods: An overview of wearable and non-wearable systems, highlighting clinical applications. Sensors (Switzerland) 14:3362-3394
[ 16 ] van den Noort JC, Wiertsema SH, Hekman KMC, Schönhuth CP, Dekker J, Harlaar J (2015) Measurement of scapular dyskinesis using wireless inertial and magnetic sensors: Importance of scapula calibration. J Biomech 48:3460–3468
[ 17 ] Shubin Stein BE, Wiater JM, Pfaff HC, Bigliani LU, Levine WN (2001) Detection of acromioclavicular joint pathology in asymptomatic shoulders with magnetic resonance imaging. J Shoulder Elb Surg 10:204–208
[ 18 ] Sousa C de O, Camargo PR, Ribeiro IL, Reiff RB de M, Michener LA, Salvini TF (2014) Motion of the shoulder complex in individuals with isolated acromioclavicular osteoarthritis and associated with rotator cuff dysfunction: Part 1 - Three-dimensional shoulder kinematics. J Electromyogr Kinesiol 24:520–530
[ 19 ] Sousa C de O, Michener LA, Ribeiro IL, Reiff RB de M, Camargo PR, Salvini TF (2015) Motion of the shoulder complex in individuals with isolated acromioclavicular osteoarthritis and associated with rotator cuff dysfunction: Part 2 - Muscle activity. J Electromyogr Kinesiol 25:77–83
[ 20 ] Zhang ZQ, Wong WC, Wu JK (2011) Ubiquitous human upper-limb motion estimation using wearable sensors. IEEE Trans Inf Technol Biomed 15:513–521