Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11824
Title: Infrared assessment of knee instability in ACL deficient patients
Authors: Matic, Aleksandar
Petrovic Savic, Suzana
Ristic, Branko
Stevanović V.
Devedzic G.
Journal: International Orthopaedics
Issue Date: 1-Feb-2016
Abstract: © 2015, SICOT aisbl. Purpose: Previous clinical studies have shown that anterior cruciate ligament (ACL) ruptures require reconstructive surgery. The main goal of this study is an objective test definition for unstable knee diagnosis based on real measurements by using infrared cameras and adequate software. Methods: In the study of gait analysis 35 males with deficient ACL’s participated. Pathological parameters for anterior posterior translation (APT) and internal external rotation (IER) and their values of kinematic data were obtained from a gait analysis 3D system. Movement curves were obtained by recording the position of fluorescent markers over time. A machine learning algorithm was developed in order to support decisions on the severity of the ACL injury and its corresponding deficiency. The algorithm was based on logistic regression. Results: The value of APT, designated as exponentiation of the Ө coefficient (Exp (Ө)) of APT, showed that the likelihood of ACL-deficient knee occurrence due to higher values of APT is 1.1758 (95 % CI) times more frequent than that of the patients with lower values of APT. The value of IER, designated as Exp (Ө) of IER, showed that the patients with higher values of IER present 2.2516 (95 % CI) times higher values of ACL-deficient knee frequency than those with lower values. Conclusion: This study showed that the creation of ordered pairs of pathological parameters gives a wider picture of ACL deficiency and that such an algorithm may improve both examination and treatment of patients.
URI: https://scidar.kg.ac.rs/handle/123456789/11824
Type: article
DOI: 10.1007/s00264-015-2839-y
ISSN: 03412695
SCOPUS: 84957437148
Appears in Collections:Faculty of Engineering, Kragujevac
Faculty of Medical Sciences, Kragujevac

Page views(s)

87

Downloads(s)

1

Files in This Item:
File Description SizeFormat 
PaperMissing.pdf
  Restricted Access
29.86 kBAdobe PDFThumbnail
View/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.