Zagury Julyana Gomes, Ananthan Sowmya, Quek Samuel Y P, Subramanian Gayathri
Department of Diagnostic Sciences, Rutgers School of Dental Medicine, 110 Bergen Street, Newark, NJ, USA.
Department of Diagnostic Sciences, Rutgers School of Dental Medicine, 110 Bergen Street, Newark, NJ, USA.
Dent Clin North Am. 2023 Apr;67(2):335-348. doi: 10.1016/j.cden.2022.12.003. Epub 2023 Feb 1.
Unvalidated theories have been proposed for the etiopathogenesis of masticatory myofascial temporomandibular disorders (mTMD). Modalities such as cone-beam computed tomography/computed tomography and MRI contributes little to the diagnosis of mTMD. Diagnosing mTMD is based on the recognition of "familiar pain" presentation in the masticatory myofascial tissue. This assessment tool contributes little our understanding of the underlying disease process. Thus, management of mTMD is empirical and arbitrary. Exploring emerging technologies to identify biomarkers and objectively assess myofascial tissue physiology in disease and health may be key in moving the diagnosis of mTMD from the pragmatic paradigm to an evidence-based paradigm.
关于咀嚼肌筋膜性颞下颌关节紊乱病（mTMD）的病因发病机制，已经提出了一些未经证实的理论。锥束计算机断层扫描/计算机断层扫描和磁共振成像等检查手段对mTMD的诊断作用不大。mTMD的诊断基于对咀嚼肌筋膜组织中“熟悉的疼痛”表现的识别。这种评估工具对我们理解潜在疾病过程帮助不大。因此，mTMD的治疗是经验性的且随意的。探索新兴技术以识别生物标志物并客观评估疾病和健康状态下肌筋膜组织的生理学，可能是将mTMD的诊断从实用模式转变为循证模式的关键。
