Osama Almustafa, Musa Mazen, Zhang Hai Juan, Zheng Cheng Dong, Nasih Mahmoud, Ren Yu Han, Wang Shuang
Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Laboratory Centre of Stomatology, College of Stomatology, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Sci Rep. 2025 Jul 1;15(1):22090. doi: 10.1038/s41598-025-04938-w.
This retrospective study aims to: (1) determine whether craniofacial skeletal characteristics differ based on the type of temporomandibular joint (TMJ) disc displacement (DD); and (2) identify cephalometric variables that correlate with and predict articular disc position. A total of 294 joints corresponding to 147 female patients, aged 18 to 41 years, were included. Based on the criteria of DC/TMD and subsequently magnetic resonance imaging (MRI) findings, the joints were categorized into three groups: 1) bilateral normal disc position (BN), 2) disc displacement with reduction (DDR), and 3) disc displacement without reduction (DDWR). The lateral cephalograms were assessed, and twelve landmarks were marked on each radiograph, from which fifteen variables were derived. Cone beam computed tomography (CBCT) images were evaluated for joint spaces, glenoid fossa characteristics, and condylar inclination. One-way ANOVA and post-hoc Tukey tests were used to compare variables across groups. Bivariate Pearson correlation analysis was conducted to assess relationships between glenoid fossa characteristics, disc position, condylar position, and skeletal morphology. Multiple linear regression (MLR) was applied to determine cephalometric predictors of disc position. Significant differences were observed in joint spaces, condylar inclination, and fossa morphology across the three groups. ANB, FMA, y-axis, gonial angle, and ramus height showed significant correlations with disc position. MLR demonstrated that FMA, ramus height, and articular angle were the strongest predictors of DD, particularly in DDWR, with an explanatory power of 55% (R = 0.55, p < 0.001). Craniofacial morphology plays a key role in the pathophysiology of DD. Patients with a steeper mandibular plane (higher FMA) and reduced ramus height were more prone to DDWR. These findings highlight the importance of cephalometric evaluation in assessing TMD and predicting disc position.
(1)确定颅面骨骼特征是否因颞下颌关节(TMJ)盘移位(DD)类型而异;(2)识别与关节盘位置相关并可预测其位置的头影测量变量。研究纳入了147名年龄在18至41岁之间的女性患者的294个关节。根据DC/TMD标准及随后的磁共振成像(MRI)结果,将关节分为三组:1)双侧关节盘位置正常(BN),2)可复性盘移位(DDR),3)不可复性盘移位(DDWR)。对头颅侧位片进行评估,在每张X线片上标记12个标志点,并从中得出15个变量。对锥形束计算机断层扫描(CBCT)图像进行关节间隙、关节窝特征和髁突倾斜度评估。采用单因素方差分析和事后Tukey检验比较各组变量。进行双变量Pearson相关分析以评估关节窝特征、关节盘位置、髁突位置和骨骼形态之间的关系。应用多元线性回归(MLR)确定关节盘位置的头影测量预测指标。三组之间在关节间隙、髁突倾斜度和关节窝形态方面观察到显著差异。ANB、FMA、y轴、下颌角和升支高度与关节盘位置显示出显著相关性。MLR表明,FMA、升支高度和关节角是DD的最强预测指标,尤其是在DDWR中,解释力为55%(R = 0.55,p < 0.001)。颅面形态在DD的病理生理学中起关键作用。下颌平面较陡(FMA较高)且升支高度降低的患者更容易发生DDWR。这些发现突出了头影测量评估在评估颞下颌关节紊乱病(TMD)和预测关节盘位置方面的重要性。