Department of Stomatology, Santiago de Compostela University, Faculty of Medicine and Dentistry, Spain.
Department of Statistics, Santiago de Compostela University, Faculty of Medicine and Dentistry, Spain.
J Electromyogr Kinesiol. 2014 Jun;24(3):332-40. doi: 10.1016/j.jelekin.2014.03.001. Epub 2014 Mar 14.
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.
表面肌电图(sEMG)用于识别患有慢性颞下颌关节紊乱(TMD)的患者存在争议。本研究的主要目的是确定肌电图诊断 TMD 的准确性,以区分健康受试者和 TMD 患者。本研究评估了 53 名符合研究期间纳入标准并被转介到大学服务的 TMD 患者。还招募了 38 名满足相同纳入标准但无 TMD 的牙科学生。纳入标准为完全有牙、正常咬合且为右利手。排除标准为牙周病、龋齿或受损的牙组织、正畸治疗、颌面疾病、肉毒杆菌 A 毒素治疗和心理障碍。计算了咀嚼肌(右 RM 和左 LM)和颞肌(右 RT 和左 LT)的肌电值以及静息和紧咬时的个体内指数。使用原始 sEMG 活动确定截定点并计算 sEMG 的诊断准确性。使用接收者操作特征(ROC)曲线和曲线下面积(AUC)评估这些变量对 TMD 诊断的准确性。通过使用广义加性模型(GAM)获得新的转换诊断变量。通过 Youden 指数获得敏感性和特异性相似的最佳截断点。休息时 rLT 变量的 AUC 最高,为 0.660(95%CI 0.605-0.871)。当考虑 rLT 和 rACTIVITY(颞肌与咀嚼肌的差异除以总和)作为线性组合时,AUC 增加到 0.742(95%CI;0.783-0.934)。总之,休息时原始 sEMG 评估对区分健康个体和 TMD 患者具有中等的敏感性和特异性。强烈建议使用(主要评估休息时颞肌相对于咀嚼肌的优势的指数)来提高原始 sEMG 评估的辨别能力。