Objective To compare effects of intra-articular injection of corticosteroid or viscoelastic agent alone or a combination of the two drugs for treatment of temporomandibular joint disorders. Methods A prospective quasirandomized controlled trial was conducted to compare 3 treatment protocols of intra-articular injections in the upper compartment of the joint immediately following arthrocentesis repeatedly every 10 days: ① triamcinolone 8 mg alone for 3 times, ② 1% hyaluronate 1 ml alone for 4 times, and ③ triamcinolone 8 mg for 2 times then 1% hyaluronate 1 ml for 2 times. Clinical examinations were done at baseline, 1, 12, and 24 months after end of the treatments. According to improvement of the symptoms and clinical signs, the effectiveness was graded in 3 classes: excellent, better, no change, or worse. The first two were classified as effective. Effective rates of the treatments and subgroups were compared statistically. Results Five hundred and sixty four patients with temporomandibular disorders were included and randomly allocated to 3 groups with 188 patients in each group. The rate of lost follow up at 24 months was 6.9% to 10.1%. At one month after treatment, the triamcinolone group had a better effective rate at 92.0%. At 12 and 24 months of follow up, effective rates of the hyaluronate group were better than those in the triamcinolone alone group (84.6% vs. 54.1% and 83.4% vs. 40.4%). Effective rates of combining triamcinolone and hyaluronate group at 12 and 24 months were 90.4% and 66.3% respectively. Conclusion Intra-articular injection of corticosteroid has better results in a short term and hyaluronate has better results in a long term in the treatment of temporomandibular joint disorders.
Temporomandibular joint disorder (TMD) is a general term for a group of diseases. Clinically, it often presents as pain in the temporomandibular joint and surrounding muscles and soft tissues, often involving the temporomandibular joint, chewing muscles, and anterior joint area. There are also abnormalities in jaw movement, function, joint sounds, crushing sounds, and murmurs. This article provides a review of the epidemiology, etiology, clinical characteristics, auxiliary examinations, rehabilitation assessment, and rehabilitation treatment of TMD, in order to improve understanding of TMD rehabilitation assessment and provide reference for clinical rehabilitation treatment of TMD.
Temporomandibular joint disorder (TMD) is a common oral and maxillofacial disease, which is difficult to detect due to its subtle early symptoms. In this study, a TMD intelligent diagnostic system implemented on edge computing devices was proposed, which can achieve rapid detection of TMD in clinical diagnosis and facilitate its early-stage clinical intervention. The proposed system first automatically segments the important components of the temporomandibular joint, followed by quantitative measurement of the joint gap area, and finally predicts the existence of TMD according to the measurements. In terms of segmentation, this study employs semi-supervised learning to achieve the accurate segmentation of temporomandibular joint, with an average Dice coefficient (DC) of 0.846. A 3D region extraction algorithm for the temporomandibular joint gap area is also developed, based on which an automatic TMD diagnosis model is proposed, with an accuracy of 83.87%. In summary, the intelligent TMD diagnosis system developed in this paper can be deployed at edge computing devices within a local area network, which is able to achieve rapid detecting and intelligent diagnosis of TMD with privacy guarantee.