Literature DB >> 24698167

Surface raw electromyography has a moderate discriminatory capacity for differentiating between healthy individuals and those with TMD: a diagnostic study.

Urbano Santana-Mora1, Mónica López-Ratón2, Maria J Mora1, Carmen Cadarso-Suárez2, José López-Cedrún3, Urbano Santana-Penín4.   

Abstract

The use of surface electromyography (sEMG) to identify subjects with chronic temporomandibular disorders (TMD) is controversial. The main objective of this study is to determine the diagnostic accuracy of EMG to differentiate between healthy subjects and those with TMD. This study evaluated 53 individuals with TMD who were referred to the university service and who fulfilled the eligibility criteria during the period of the study. Thirty-eight dental students were also recruited satisfying same eligibility criteria but without TMD. The inclusion criteria were to be fully dentate, have normal occlusion, and be righthanded. The exclusion criteria were periodontal pathology, caries or damaged dental tissues, orthodontic therapy, maxillofacial disease, botulinum A toxin therapy, and psychological disorders. The means of the masseter muscles, right (RM) and left (LM), and temporalis muscles, right (RT) and left (LT), and intraindividual indexes during resting and during clenching were calculated. Raw sEMG activity was used to determine the cutoff points and calculate the diagnostic accuracy of sEMG. The diagnostic accuracy of these variables for a diagnosis of TMD was evaluated by using the Receiver Operating Characteristic (ROC) curve and the area under it (AUC). A new transformed diagnostic variable was obtained by using the Generalized Additive Models (GAM). Optimal cutoff points were obtained where the sensitivity and specificity were similar and by the Youden index. The highest estimated AUC was 0.660 (95% CI 0.605-0.871) corresponding to the rLT variable during rest. When rLT and rACTIVITY (differences divided by sums of temporalis versus masseter muscles) were considered as a linear combination, the AUC increased to 0.742 (95% CI; 0.783-0.934). In conclusion, the raw sEMG evaluation of rest provided moderate sensitivity and specificity to discriminate between healthy individuals and those with TMD. The use of the indexes (mainly assessing the dominance of temporalis over masseter muscles during rest) is strongly recommended to increase the discriminatory capacity of raw sEMG evaluation.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diagnosis; EMG; Jaw muscles; Pain; TMD

Mesh:

Year:  2014        PMID: 24698167     DOI: 10.1016/j.jelekin.2014.03.001

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  8 in total

1.  Effects of Rapid Palatal Expansion on Chewing Biomechanics in Children with Malocclusion: A Surface Electromyography Study.

Authors:  Fabiola Spolaor; Martina Mason; Alberto De Stefani; Giovanni Bruno; Ottavia Surace; Annamaria Guiotto; Antonio Gracco; Zimi Sawacha
Journal:  Sensors (Basel)       Date:  2020-04-07       Impact factor: 3.576

2.  Accuracy of Surface Electromyography in the Diagnosis of Pain-Related Temporomandibular Disorders in Children with Awake Bruxism.

Authors:  Liliana Szyszka-Sommerfeld; Magdalena Sycińska-Dziarnowska; Agata Budzyńska; Krzysztof Woźniak
Journal:  J Clin Med       Date:  2022-02-28       Impact factor: 4.241

3.  Changes in Maximum Mandibular Mobility Due to Splint Therapy in Patients with Temporomandibular Disorders.

Authors:  Bernhard Wiechens; Svea Paschereit; Tristan Hampe; Torsten Wassmann; Nikolaus Gersdorff; Ralf Bürgers
Journal:  Healthcare (Basel)       Date:  2022-06-09

4.  Masticatory Myoelectric Side Modular Ratio Asymmetry during Maximal Biting in Women with and without Temporomandibular Disorders.

Authors:  Felipe Acácio de Paiva; Kariny Realino Ferreira; Michelle Almeida Barbosa; Alexandre Carvalho Barbosa
Journal:  Biosensors (Basel)       Date:  2022-08-18

5.  Electromyographic Analysis of Masticatory Muscles in Cleft Lip and Palate Children with Pain-Related Temporomandibular Disorders.

Authors:  Liliana Szyszka-Sommerfeld; Teresa Matthews-Brzozowska; Beata Kawala; Marcin Mikulewicz; Monika Machoy; Włodzimierz Więckiewicz; Krzysztof Woźniak
Journal:  Pain Res Manag       Date:  2018-05-13       Impact factor: 3.037

6.  Electromyography as a Means of Assessing Masticatory Muscle Activity in Patients with Pain-Related Temporomandibular Disorders.

Authors:  Liliana Szyszka-Sommerfeld; Monika Machoy; Mariusz Lipski; Krzysztof Woźniak
Journal:  Pain Res Manag       Date:  2020-08-13       Impact factor: 3.037

7.  Alterations in Surface Electromyography Are Associated with Subjective Masticatory Muscle Pain.

Authors:  Davide Pietropaoli; Eleonora Ortu; Mario Giannoni; Ruggero Cattaneo; Alessandra Mummolo; Annalisa Monaco
Journal:  Pain Res Manag       Date:  2019-11-22       Impact factor: 3.037

8.  Identification of arthropathy and myopathy of the temporomandibular syndrome by biomechanical facial features.

Authors:  Bruno Coelho Calil; Danilo Vieira da Cunha; Marcus Fraga Vieira; Adriano de Oliveira Andrade; Daniel Antônio Furtado; Douglas Peres Bellomo Junior; Adriano Alves Pereira
Journal:  Biomed Eng Online       Date:  2020-04-15       Impact factor: 2.819

  8 in total

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