Abstract
Purpose
To investigate the differences in magnetic resonance imaging (MRI) characteristics between anterior disc displacement with reduction(ADDWR) and anterior disc displacement without reduction (ADDWoR) of the temporomandibular joint (TMJ) by semi-quantitative analysis of the disc-condylar complex. Reliable imaging markers were selected to predict ADDWoR.
Methods
The risk factors of ADDWoR were analyzed by univariate and multivariate logistic regression methods, and the receiver operating curves(ROC) were plot to evaluate the diagnostic ability.
Results
There were statistically significant differences in disc shape, displacement degree, condylar shape, bone change, position and joint effusion between the two groups(p<0.05). Univariate logistics showed that fold-curved articular disc, degree of ADD, condylar bone change, beak condyle, central condyle and effusion grades were all related factors in the diagnosis of ADDWoR. Multivariate logistic showed fold-curved articular disc, the degree of ADD and the grade of joint effusion were independent factors for the diagnosis of ADDWoR. The area under ROC curve for ADD-degree and joint effusion analysis for the prediction of ADDWoR was 0.909 and 0.745,respectively.
Conclusion
Based on semi-quantitative analysis of MRI signs of disc-condylar complex, it can effectively evaluate the influencing factors of ADDWoR and provide imaging reference for clinical disease prediction of temporomandibular joint (TMJ) patients.
Keywords: Magnetic resonance imaging, Temporomandibular joint, Disc displacement
Background
Temporomandibular joint disorder(TMD) is a disease involving the mandibular muscles and/or the temporomandibular joint (TMJ), and is a general term for pain and dysfunction of the TMJ complex and masticatory muscles [1]. Causes include physical, psychological, genetic and environmental factors [2]. It is common worldwide and occurs mainly in individuals aged 20–45 years. Disc displacement and condylar imbalance are the most common causes. In the normal disk-condylar relationship, the posterior articular disk band is located near the 12 o ‘clock position above the condyle. When the articular disk moves to the anterior condyle or other non-12 o ‘clock position for some reason, it is considered to be a articular disk displacement, in which the anterior disc displacement(ADD) is the most common. Previous studies believed that ADD is a self-limiting disease, and its clinical symptoms such as pain and movement disorders can be relieved naturally, without treatment or active disc reduction [3]. However, with the development of the disease, the clinical symptoms of most patients can not be completely relieved, and there will be changes such as increased degree of ADD, joint disk deformation, condylar bone absorption, joint effusion. Even the disc progressed from anterior disc displacement with reduction(ADDWR) to anterior disc displacement without reduction (ADDWoR), and secondary facial deviation, mandibular retraction and other deformities [4].
Magnetic resonance imaging(MRI), as a non-invasive imaging method, has excellent performance in analyzing soft tissue and fluid in the TMJ complex, and is the gold standard for evaluating the TMJ complex, disc-condylar relationship, and disc displacement [5]. Based on the TMJ complex and disc-condylar relationship, combined with multiple MRI indicators, more complete image data can be provided [6]. Screening out imaging markers with diagnostic efficacy can improve the clinical diagnosis level of ADDWoR. Especially for patients with difficulty in opening, the prediction of ADDWoR on closed mouth images is helpful to promote the treatment and management of TMD, a chronic disease, and has important clinical significance. Most previous studies have only focused on the single relationship between the intervertebral disc and the condyle, neglecting the quantitative and qualitative understanding of its integrated structure. Some studies have quantified the TMJ with higher-level software outside of workstations, which is not suitable for clinical application. Therefore, we used 1.5T MRI to conduct a semi-quantitative study from three aspects: articular disc, condyle, and joint effusion. We integrated more imaging indicators, conducted quantitative or grading, and constructed the ADDWoR diagnostic prediction model, aiming to screen out imaging indicators that are more in line with clinical diagnosis. Data analysis and measurement were all carried out on the original workstation rather than external software, providing more direct and accessible imaging references for daily clinical diagnosis.
Data and methods
The retrospective study was approved by the ethics review committee of NO.1 Orthopedics Hospital of Chengdu, and was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2013, and the need to obtain informed consent was waived. This study included patients who visited the TMJ outpatient department of our hospital from January 2022 to June 2023. According to the DC/TMD diagnostic criteria [2], they were accompanied by TMD symptoms (joint pain, clicking or difficulty in opening the mouth) and were evaluated as ADD by MRI. Maxillofacial trauma and tumors, previous surgical history of TMJ, congenital malformations and specific inflammation were excluded. Cases with poor scan image quality were also excluded. The course of the disease ranges from 1 week to 3 years. Some patients have medical experience, but due to insufficient information, the details are not detailed.A total of 154 patients were included, and at least one joint met the criteria. Finally, A total of 279 joint images were included to evaluate the degree of ADD, reduction or not, disk-condylar relationship, and the grades of joint effusion.
Scanning method
Open and closed mouth scanning of the temporomandibular joint was performed with a combined imaging 1.5T magnetic resonance scanner (UNITED IMAGING uMR 588, China) and 16-channel cranial orthogonal coil. Scanning parameters: Field of view 120 mm×120 mm; Matrix 250 mm×192 mm; Layer thickness 2–3 mm; The layer spacing was 0.5 mm. T1-weighted imaging(T1WI), T2-weighted imaging(T2WI), T2-weighted imaging fat-suppressed sequence(T2WI-fs) and Proton density weighted imaging(PDWI) were routinely scanned. Oblique coronal images (T1WI) and oblique sagittal images (PDWI and T2WI-fs) were collected at the closed position. The oblique sagittal phase (PDWI) is collected at the open mouth position.
Image analysis
The images were analyzed jointly by one radiologist with an intermediate professional title and one specialist in TMJ with a senior professional title. All images were observed on the PACS system as the original DICOM images, and all data were measured on the workstation.
Temporomandibular joint disc morphology
Based on the closed position of the oblique sagittal plane PDWI, the disc morphology was divided into 5 types. (1) Biconcave: normal articular disc, the middle band is narrow, and the posterior and anterior bands are completely visible. (2) Average thickness: the front, middle and back of the joint disc with equal thickness. (3) Convex: the middle band of the joint disc increases in thickness and is shaped like a round ball. (4) Fold-curved: joint disc contracture, shortened length, irregular shape. (5) Stretching: the joint disc is elongated and uneven in thickness.
Degree of ADD, ADDWR, ADDWoR
At the closed oblique sagittal position, a line was drawn between the lowest point at the back of the articular fossa and the lowest point of the articular tubercle, marking the midpoint of the condylar portion of this line. In the closed oblique sagittal position, a line is drawn between the lowest point of the posterior fossa and the lowest point of the articular tubercle, marking the midpoint of the line through the condylar portion. The Angle between the line that passes through the midpoint and the midpoint of the rear edge of the joint disc, and the vertical line that passes through the midpoint, is the disk boundary Angle [7], as shown in Fig. 1a, and the normal disk boundary angle is within 10° of the front and back.
Fig. 1.
(a) Schematic diagram for measuring the disk boundary Angle; (b) Mild ADD, the disk boundary Angle = 23.8°; (c) Moderate ADD, the disk boundary Angle = 46.5°; (d) severe ADD, the disk boundary Angle = 68.3°
In the open oblique sagittal image, the disk-condylar position relationship returned to normal and was defined as ADDWR. The disk-condylar position relationship could not return to normal, and the disc remained in front of the condyle, which was defined as ADDWoR.
The group was divided according to the Angle size. When the Angle value was in the range of 11° to 30°, it was classified as the mild group, as shown in Fig. 1b. When it is in the range of 31° to 50°, it is classified as moderate group, as shown in Fig. 1c. When it is above 50, it is classified as severe group, as shown in Fig. 1d. A total of 3 groups.
Condyle morphology and location
According to the standard reported by Luo [8], based on T2WI-fs, the morphology of the condyle was classified as oval, flat or beak-shaped. And according to whether condyle bone injury, divided into normal, joint surface erosion(The surface of bone is blurred and rough) and bone injury(Local bone defect). According to conical beam CT’s judgment method of condyle position [9], joint space was quantitatively measured in MR Image, and condyle position was divided into three groups: anterior position, central position and posterior position, as shown in Table 1; Fig. 2.
Table 1.
Measurement of joint space and judgment of condyle position
| Parameter | Definition |
|---|---|
| Anterior joint space (AJS) | Draw the highest point of the articular fossa, the line tangent to the condylar front, and the distance from the tangent point to the corresponding articular fossa on the vertical line of the tangent point, as shown in Fig. 2a. |
| Posterior joint space (PJS) | Draw the highest point of the articular fossa, the line tangent to the posterior margin of the condyle, and the distance from the tangent point to the corresponding articular fossa on the vertical line of the tangent point, as shown in Fig. 2a. |
| Anterior position | (PJS-AJS)/(PJS + AJS) = R, if R>12%, defined as anterior position. |
| Central position | (PJS-AJS)/(PJS + AJS) = R, if -12%< R<12%, defined as central position. |
| Posterior position | (PJS-AJS)/(PJS + AJS) = R, if R<-12%, defined as posterior position. |
Fig. 2.
(a) Schematic diagram of joint space measurement; (b) Anterior position, AJS = 3.18, PJS = 4.77, R = 20%; c. Central position, AJS = 3.4, PJS = 3.62, R = 3.1%; d. posterior position, AJS = 4.57, PJS = 2.79, R=-24.2%
Joint effusion grading
Referring to the standards reported by Koh [10] and Larheim [11], etc., joint effusion was classified into 4 levels based on the closed-mouth oblique sagittal T2WI-fs: (1) No effusion: no high-signal effusion shadow was observed in joint space; (2) Mild effusion: point-like or linear high signal shadow; (3) Moderate effusion: between mild and marked, presenting as small triangular or strip-shaped high-signal aggregations; (4) Marked effusion: Liquid pools and high signal levels. As shown in Fig. 3.
Fig. 3.
(a) No effusion. (b) The arrow indicates mild effusion. (c) The arrow indicates moderate effusion. d. The arrow indicates marked effusion
Data analysis
SPSS Statistics X9.1 software was used for statistical analysis of the eligible data. Mean age was described by mean ± standard deviation and independent sample t test was used. The sex distribution, disc shape, degree of ADD, condyle bone shape, bone change, condyle position and joint effusion were examined by Chi-square test. Single factor binary logistic regression analysis was used to preliminarily screen out the variables that might be meaningful. The preliminary screening boundary value was P<0.1. If the difference in factors was statistically significant (P<0.1), the indicator was included in multivariate binary logistic regression analysis to further validate the effect and estimate the effect size. Receiver operating curve (ROC) was used to evaluate the prediction accuracy of the model. P<0.05 was considered statistically significant.
Results
Patient characteristics
In this study, 154 patients with ADD were included, and unilateral or bilateral TMJ images were collected, totaling 279 cases. They were divided into ADDWR(n = 146) and ADDWoR(n = 133) groups according to whether the joint disc was reset. There were no significant differences in gender distribution and mean age between the two groups. As is shown in Table 2.
Table 2.
Comparison of MR image features of ADDWR and addwor
| ADDWR n = 146 |
ADDWoR n = 133 |
t/χ2 | p | |
|---|---|---|---|---|
| Sex | ||||
| Male | 19(13%) | 12(9%) | 1.123 | 0.289 |
| Female | 127(87%) | 121(91%) | ||
| Age | 27.7 ± 9.7 | 26.6 ± 8.8 | 1.479 | 0.225 |
| Articular disc morphology | ||||
| Biconcave | 53(36.3%) | 50(37.6%) | 49.557 | <0.0001* |
| Average thickness | 49(33.6%) | 7(5.3%) | ||
| Convex | 2(1.4%) | 9(6.8%) | ||
| Fold-curved | 30(20.5%) | 62(46.6%) | ||
| Stretching | 12(8.2%) | 5(3.7%) | ||
| Degree of ADD | ||||
| Mild | 92(63%) | 5 (3.7%) | 174.282 | <0.0001* |
| Moderate | 38(26%) | 9(6.8%) | ||
| Severe | 16(11%) | 119(89.5%) | ||
| Condylar morphology | ||||
| Oval | 92(63%) | 48(36.1%) | 22.424 | <0.0001* |
| Flat | 7(4.8%) | 20(15%) | ||
| Beak | 47(32.2%) | 65(48.9%) | ||
| Condylar bone | ||||
| Normal | 51(34.9%) | 25(18.8%) | 9.148 | 0.01* |
| Surface erosion | 69(47.3%) | 79(59.4%) | ||
| Bone defect | 26(17.8%) | 29(21.8%) | ||
| Condylar position | ||||
| Anterior position | 21(14.4%) | 8(6%) | 14.854 | 0.001* |
| Central position | 87(59.6%) | 63(47.4%) | ||
| Posterior position | 38(26%) | 62(46.6%) | ||
| Joint effusion | ||||
| None | 31(21.2%) | 8(6%) | 61.733 | <0.0001* |
| Mild | 91(62.3%) | 44(33.1%) | ||
| Moderate | 21(14.4%) | 60(45.1%) | ||
| Marked | 3(2.1%) | 21(15.8%) |
As shown in Table 2, the differences in MR Image features between the two groups were compared. The articular disc morphology was divided into 5 types, of which more were double-concave in ADDWR and more were fold-curved in ADDWoR, and there was a statistical difference between the two groups(p<0.0001). The degree of ADD was divided into mild, moderate and severe. The proportion of mild(63%) in ADDWR was the highest, while the proportion of severe(89.5%) in ADDWoR was the highest, and there was a statistical difference between the two(p<0.0001). Condylar morphology was divided into 3 types, oval shape(63%) was more common in ADDWR, and beak shape(48.9%) was more common in ADDWoR, and there was a statistical difference between the two(p<0.0001). For the changes of condylar bone, surface absorption accounted for the highest proportion in both groups, but there was a statistical difference between them(p<0.01). The condylar position was more common in the central position between the two groups, but the difference between the two groups was statistically significant(p<0.001). Joint effusion was divided into 4 grades according to the amount of effusion, and the difference between the two groups was statistically significant(p<0.0001).
Univariate and multivariate logistic regression analysis of ADDWoR image features was shown in Table 3. The results showed that fold-curved articular disc, degree of ADD, condylar bone change, beak condyle, central condyle and effusion grades were all related factors in the diagnosis of ADDWoR. In addition, fold-curved articular disc, the degree of ADD and the grade of joint effusion were independent factors for the diagnosis of ADDWoR. ROC analysis for the diagnosis of ADDWoR was presented in Fig. 4. The area under ROC curve (AUC) for ADD-degree and joint effusion analysis for the prediction of ADDWoR was 0.909 (95% confidence interval (CI) of AUC = 0.8871–0.947) and 0.745 (95% confidence interval (CI) of AUC = 0.687–0.804), respectively.
Table 3.
Univariate and multivariate logistic regression analysis for addwor
| Univariate analysis OR(95%CI) |
p | Multivariate analysis OR(95%CI) |
p | |
|---|---|---|---|---|
| Fold-curved joint disc | 3.377(1.994–5.717) | <0.0001* | 2.485(1.037–5.954) | 0.041* |
| Degree of ADD | 15.198(8.644–26.72) | <0.0001* | 15.103(7.891–28.906) | <0.0001* |
| Condylar bone | 1.554(1.092–2.212) | 0.014* | 1.516(0.796–2.889) | 0.206 |
| Beak condyle | 2.013(1.239–3.273) | 0.005* | 0.727(0.319–1.656) | 0.448 |
| Central position | 0.61(0.38–0.981) | 0.041* | 1.713(0.738–3.975) | 0.21 |
| Joint effusion | 3.832(2.596–5.657) | <0.0001* | 3.033(1.771–5.194) | <0.0001* |
Fig. 4.
ROC prediction curve of ADD-degree and joint effusion for ADDWoR
Disscusion
The main findings of this study are as follows: (1)The degree of ADD, fold-curved disc, condylar bone change, beak condyle, condylar central position, and the grades of joint effusion, are all factors affecting ADDWoR. (2) The degree of ADD, fold-curved disc and the degree of joint effusion, are independent risk factors affecting ADDWoR. (3) The ROC for predicting the ADDWoR showed that the degree of ADD had a high predictive value, while the joint effusion had a average predictive value.
Whether the TMJ disc is displaced and the subtype of displacement are of great significance for clinical treatment decisions, and ADD is the most common type [12]. The joint disc is fibrous tissue and the normal disc is biconcave. With the opening and closing movements of the mouth, the thickness of the disc changes adaptively to balance the pressure in the joint cavity [13]. Abnormal joint movements, such as bad habits like teeth grinding and unilateral chewing, as well as asynchronous movements of the discor-condyle structure, can lead to degeneration of the collagen fibers in the intervertebral discs, disrupt the pressure balance within the joint cavity, and cause displacement of the intervertebral discs [14, 15]. Past studies have categorised disc morphology as diverse [16, 17]. In our study, disc morphology was classified as biconcave, average thickness, convex, fold-curved, and stretching. Articular disc deformities accounted for a high percentage of 63.1%. The morphology of the articular disc has significance on whether it is reset or not. During open-closed movements, the articular disc is subjected to compressive stress, tensile stress and shear stress [18]. In normal joints, the stress distribution is uniform. The sliding of the condyle along the articular disc may generate abnormal stress, causing damage to the articular disc and leading to the aggravation of TMD [19]. Continuous stress on the articular disc may cause it to deform, increase the friction of the temporomandibular joint, and prevent the articular disc from repositioning [20]. The middle band of the articular disc is the thinnest and bears the least resistance, while the anterior and posterior bands are thicker and bear more force [21]. Due to the constant opening and closing motion, the articular disc is subjected to condylar extrusion, impact or other factors, with the middle band as the folding point, the anterior and posterior bands are reflexed and bent, or continue to be shortened, folded or even change into a rounded-convex shape, and gradually develop into an irreducible state [22]. In this study, biconcave type was the most common in the ADDWR group (36.3%), and fold-curved type was the most common in the ADDWoR group (46.6%). Moreover, we used binary logistic regression to screen independent risk factors from MRI features as predictors of whether the articular disc was retrievable. The result shows that the fold-curved articular disc is an independent risk factor for ADDWoR(OR = 2.485, p = 0.041).
Articular disc deformation varies with the degree of ADD [23]. As the degree of displacement becomes more severe, the length of the disc becomes smaller, the thickness increases, and the length/thickness ratio decreases, and as the disc is displaced further forwards, both anterior displacement and deformation become severe at the same time [24]. In the process of ADDWoR, the articular disc will adaptively change in the early stage, and as the disease progresses the degree of anterior displacement of the articular disc increases, the internal structure is disorganized, the deformation of the articular disc is aggravated, and the degree of displacement is subsequently aggravated by interactions [25], which in the long term affects the effect of late clinical treatment. In our study, there was a statistically significant difference in the degree of displacement between the ADDWR group and the ADDWoR group(p<0.0001), with severe ADD accounting for the most ADDWoR (89.5%) and mild ADD accounting for the most ADDWR (63%). The degree of ADD is an independent risk factor for ADDWoR (OR = 15.103,p<0.0001), and it has a high predictive value for ADDWoR(Fig. 4). This indicates that the more severe the degree of ADD is, the greater the possibility that ADD is irreversible.
The temporomandibular joint(TMJ) is a unique double linkage joint in the craniofacial region, with the condyle constituting a pivotal anatomical structure that exhibits significant variability [26]. It is intricately linked and interacts with the articular disc. During movement, the condyle is subject to vertical forces that can be mitigated by the articular disc. However, when the articular disc is deformed, the cushioning effect is compromised, resulting in an imbalance of forces that alters the condyle’s position and morphology [27]. The present study revealed statistically significant disparities in condylar position, morphology, and bone alterations between the ADDWR and ADDWoR groups. In our study, oval condyle accounted for a higher proportion (63%) in the ADDWR group, while beak condyle accounted for a higher proportion (48.9%) in the ADDWoR group, which was consistent with previous studies [28]. It is noteworthy that within an individual, the condyles on both sides of the joint may exhibit divergent morphologies. This variation can be attributed to disparate occlusal styles, which give rise to disparate condylar forces. Prolonged overloading has been demonstrated to disrupt the dynamic equilibrium between condylar osteoblasts and osteoclasts, culminating in bone changes or osteomyelitis [25]. The univariate analysis of this study indicated that the beak condyle, central condyle, or bone changes are all influencing factors for ADDWoR(Table 3). The change of condyle position after ADD is the focus of scholars’ research, and the measurement of joint space is the most intuitive manifestation to understand the condyle position [29]. Cone-beam computed tomography(CBCT) provides high-resolution three-dimensional images, allowing for the assessment and quantification of facial bone tissue in the real dimension without significant magnification or deformation. It offers high anatomical accuracy and is the preferred imaging method for evaluating the bone condition of the TMJ [30]. Most of our cases only have MRI images. Our research referred to the CBCT standard and measured the joint space on MRI [9]. Previous scholars have believed that condyle position is significantly related to ADD. If ADD is mild, the condyle will shift backward, and the condyle will return to the central position as the dislocation of the articular disc becomes more severe [31]. But our study found that condylar central position had an effect on ADDWoR(OR = 0.61, p = 0.041), but the degree of ADD was an independent factor for ADDWoR(OR = 15.103, p<0.0001), which seemed to be contradictory to previous studies. However, the relationship between condyle position change and ADDWoR remains unclear. Measurement of the joint space on MRI instead of CBCT, and at a two-dimensional level instead of a three-dimensional level, may result in accuracy biases [4]. Anyway, this suggests that the measurement and evaluation of condylar bone changes will help to prevent the disease from progressing to a more severe stage.
Joint effusion is a dialysate of plasma that provides nutrients to the joints, helps remove metabolites, lubricates the TMJ, and influences pressure distribution [32]. Quantifying joint fluid accumulation on MRI is difficult, and there are no standardized criteria. Some are based on the number of successive layers of liquid signals involved, and some are based on the length, width or volume of the liquid image [33, 34]. We broadly categorize fluid signals into no, mild, moderate, and marked fluid accumulations based on previous experience. A small amount of fluid in the joint cavity may be necessary for physiologic lubrication of the joint. Increased effusion has been observed to be associated with TMJ dysfunction, particularly in cases where dysfunction affects the disc and condylar structures [35]. Many studies in the past have focused on the relationship between joint effusion and pain, but no definitive conclusions have been reached. Most studies have quantified effusion on a two-dimensional level, and the existence of an association between effusion and pain remains controversial. Pain is usually associated with the onset of ADDWoR, and temporomandibular joint effusions are most common in fold-curved discs [36, 37]. Deformed articular discs can affect the metabolic circulation of joint fluid, leading to increased fluid accumulation and joint pain [36]. TMJ and condylar changes due to osteoarthritis are also often associated with disc deformity, which is associated with joint effusion [38]. Joint disorders have been shown to induce joint damage, which in turn prompts the release of pro-inflammatory cytokines, including tumor necrosis factor-alpha, nitric oxide, bradykinin, interleukins and leukotrienes [39]. It has been found that these inflammatory cytokines promote joint destruction and produce inflammatory exudates around the joints. In turn, the exudate leads to increased inflammation, which in turn affects further deterioration of the structural relationships of the joint [40]. No or mild effusion accounted for the majority of ADDWoR, while moderate or marked effusion were more common in ADDWoR (Table 2). Increased joint effusion, an independent risk factor for ADDWoR, had an area under the curve of 0.745 for the predictive model for ADDWoR, with an average predictive effect. This means that the higher the grade of joint effusion, the greater the possibility that ADD will be irreversible.
It is worth noting that our research work still has some limitations. There are only two hospitals in the area where our hospital is located that have a specialist TMJ clinic, and we are one of them. Most patients with TMJ problems can only go to oral, maxillofacial surgery or rehabilitation departments and most of the patients we see are referred from other hospitals where they may have more serious joint problems. This carries the risk of bias in case selection. It is also possible that some patients have been previously treated with poor outcomes, which is likely to affect the changes in joint fluid and complicate the relationship between joint fluid and ADDWoR, thereby affecting diagnostic efficacy. Patients who have received clinical treatments such as manipulative repositioning and acupuncture in Chinese medicine will have a reduction in joint pain and popping, and a reduction in effusion can be seen on MRI at review, but most patients with reduced symptoms refuse to be reviewed again, resulting in a lack of imaging data in our study, which is one of the limitations of our study and one that needs to be explored in further studies in the future. As in previous studies, we used two-dimensional levels to semi-quantify the effusion. The grades of effusion was found to have some diagnostic efficacy in predicting ADDWoR. Further refinement of the quantification method will be undertaken in the future.
In conclusion, MRI has an excellent assessment ability for TMJ. The influencing factors of ADDWoR can be effectively evaluated through semi-quantitative analysis of the MRI signs of the disc-condylar complex. For the diagnosis of ADDWoR, the degree of ADD and joint effusion grades have certain predictive value, which is helpful for evaluating the condition and providing a basis for clinical diagnosis and treatment.
Acknowledgements
Not applicable.
Abbreviations
- MRI
Magnetic resonance imaging
- ADD
Anterior disc displacement
- ADDWR
Anterior disc displacement with reduction
- ADDWoR
Anterior disc displacement without reduction
- ROC
Receiver operating curves
- TMD
Temporomandibular joint disorder
- TMJ
Temporomandibular joint
Author contributions
ML and XHC designed and carried out the study, collected the data, wrote and approved the manuscript. KL and HLH designed the study, collected and analyzed data, wrote and approved the manuscript. YT and DZ designed and carried out the study, analyzed the data, cowrote and approved the manuscript. TH and BBD supervised, designed and performed study, analyzed data, wrote and approved the paper. All authors read and approved the final manuscript.
Funding
None.
Data availability
The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.
Declarations
Ethics approval and consent to participate
The retrospective study was approved by the ethics review committee of NO.1 Orthopedics Hospital of Chengdu, and was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2013, and the need to obtain informed consent was waived. All data were anonymized.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Meng Liao and Xuehui Chen are contributed equally to this work.
References
- 1.Yadav S, Yang Y, Dutra EH, Robinson JL, Wadhwa S. Temporomandibular joint disorders in older adults. J Am Geriatr Soc. 2018;66(6):1213–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Schiffman E, Ohrbach R, Truelove E, Look J, Anderson G, Goulet JP, List T, Svensson P, Gonzalez Y, Lobbezoo F, et al. Diagnostic criteria for temporomandibular disorders (DC/TMD) for clinical and research applications: recommendations of the international RDC/TMD consortium network** and orofacial pain special interest group†. J Oral Facial Pain Headache. 2014;28(1):6–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Sato S, Kawamura H, Nagasaka H, Motegi K. The natural course of anterior disc displacement without reduction in the temporomandibular joint: follow-up at 6, 12, and 18 months. J Oral Maxillofacial Surgery: Official J Am Association Oral Maxillofacial Surg. 1997;55(3):234–8. discussion 238–239. [DOI] [PubMed] [Google Scholar]
- 4.Li CX, Liu X, Gong ZC, Jumatai S, Ling B. Morphologic analysis of condyle among different disc status in the temporomandibular joints by Three-dimensional reconstructive imaging: A preliminary study. BMC Oral Health. 2022;22(1):395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Talmaceanu D, Lenghel LM, Bolog N, Hedesiu M, Buduru S, Rotar H, Baciut M, Baciut G. Imaging modalities for temporomandibular joint disorders: an update. Clujul Med (1957) 2018;91(3):280–287. [DOI] [PMC free article] [PubMed]
- 6.Xiong X, Ye Z, Tang H, Wei Y, Nie L, Wei X, Liu Y, Song B. MRI of temporomandibular joint disorders: recent advances and future directions. J Magn Reson Imaging: JMRI. 2021;54(4):1039–52. [DOI] [PubMed] [Google Scholar]
- 7.Incesu L, Taşkaya-Yilmaz N, Oğütcen-Toller M, Uzun E. Relationship of condylar position to disc position and morphology. Eur J Radiol. 2004;51(3):269–73. [DOI] [PubMed] [Google Scholar]
- 8.Luo D, Qiu C, Zhou R, Yu W, Li X, Yang J. MRI-based observation of the size and morphology of temporomandibular joint articular disc and condyle in young asymptomatic adults. Dento Maxillo Fac Radiol. 2022;51(3):20210272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Vincelli J. A tomographic study of mandibular condyle position in an asymptomatic population. J Prosthet Dent. 1986;55(1):149–50. [DOI] [PubMed] [Google Scholar]
- 10.Koh KJ, Park HN, Kim KA. Relationship between anterior disc displacement with/without reduction and effusion in temporomandibular disorder patients using magnetic resonance imaging. Imaging Sci Dentistry. 2013;43(4):245–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Larheim TA, Westesson PL, Sano T. MR grading of temporomandibular joint fluid: association with disk displacement categories, condyle marrow abnormalities and pain. Int J Oral Maxillofac Surg. 2001;30(2):104–12. [DOI] [PubMed] [Google Scholar]
- 12.Zhang X, Sun J, He D. Review of the studies on the relationship and treatment of anterior disk displacement and dentofacial deformity in adolescents. Oral Surg Oral Med Oral Pathol Oral Radiol. 2023;135(4):470–4. [DOI] [PubMed] [Google Scholar]
- 13.Ferneini EM. Temporomandibular joint disorders (TMD). J Oral Maxillofacial Surgery: Official J Am Association Oral Maxillofacial Surg. 2021;79(10):2171–2. [DOI] [PubMed] [Google Scholar]
- 14.de Farias JF, Melo SL, Bento PM, Oliveira LS, Campos PS, de Melo DP. Correlation between temporomandibular joint morphology and disc displacement by MRI. Dento Maxillo Fac Radiol. 2015;44(7):20150023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Sperry MM, Ita ME, Kartha S, Zhang S, Yu YH, Winkelstein B. The interface of mechanics and nociception in joint pathophysiology: insights from the facet and temporomandibular joints. J Biomech Eng. 2017;139(2):0210031–02100313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Matsumoto K, Kameoka S, Amemiya T, Yamada H, Araki M, Iwai K, Hashimoto K, Honda K. Discrepancy of coronal morphology between mandibular condyle and fossa is related to pathogenesis of anterior disk displacement of the temporomandibular joint. Oral Surg Oral Med Oral Pathol Oral Radiol. 2013;116(5):626–32. [DOI] [PubMed] [Google Scholar]
- 17.Çamlıdağ İ, Sayıt AT, Elmalı M. Is condyle morphology a factor for anterior temporomandibular disc displacement? Turk J Med Sci. 2022;52(5):1609–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Matuska AM, Muller S, Dolwick MF, McFetridge PS. Biomechanical and biochemical outcomes of Porcine temporomandibular joint disc deformation. Arch Oral Biol. 2016;64:72–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Forster H. J Fisher 1999 The influence of continuous sliding and subsequent surface wear on the friction of articular cartilage. Proc Institution Mech Eng Part H J Eng Med 213 4 329–45. [DOI] [PubMed] [Google Scholar]
- 20.Forster H. J Fisher 1996 The influence of loading time and lubricant on the friction of articular cartilage. Proc Institution Mech Eng Part H J Eng Med 210 2 109–19. [DOI] [PubMed] [Google Scholar]
- 21.Iturriaga V, Bornhardt T, Velasquez N. Temporomandibular joint: review of anatomy and clinical implications. Dental Clin N Am. 2023;67(2):199–209. [DOI] [PubMed] [Google Scholar]
- 22.Ananthan S, Pertes RA, Bender SD. Biomechanics and derangements of the temporomandibular joint. Dental Clin N Am. 2023;67(2):243–57. [DOI] [PubMed] [Google Scholar]
- 23.Hu YK, Yang C, Xie QY. Changes in disc status in the reducing and nonreducing anterior disc displacement of temporomandibular joint: a longitudinal retrospective study. Sci Rep. 2016;6:34253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Zhang Q, Ye Z, Wu Y, Zhu Y, Liu J, Yang W, Ye C, Lau Rui Han S, Wang J, Xiong X. Nonlinear Relationship between Temporomandibular Joint Disc Displacement Distance and Disc Length: A Magnetic Resonance Imaging Analysis. J Clin Med 2022;11(23). [DOI] [PMC free article] [PubMed]
- 25.Yan S, Qiao Y, Duan L. Analysis of clinical changes and magnetic resonance imaging features of 37 patients with temporomandibular joint disc condylar complex with anterior disc displacement without reduction. Hua Xi Kou Qiang Yi Xue Za zhi = huaxi Kouqiang Yixue Zazhi = West. China J Stomatology. 2024;42(1):82–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Cardoneanu A, Macovei LA, Burlui AM, Mihai IR, Bratoiu I, Rezus II, Richter P, Tamba BI, Rezus E. Temporomandibular joint osteoarthritis: pathogenic mechanisms involving the cartilage and subchondral bone, and potential therapeutic strategies for joint regeneration. Int J Mol Sci 2022;24(1). [DOI] [PMC free article] [PubMed]
- 27.Minervini G, D’Amico C, Cicciù M, Fiorillo L. Temporomandibular joint disk displacement: etiology, diagnosis, imaging, and therapeutic approaches. J Craniofac Surg. 2023;34(3):1115–21. [DOI] [PubMed] [Google Scholar]
- 28.Amaral Rde O, Damasceno NN, de Souza LA, Devito KL. Magnetic resonance images of patients with temporomandibular disorders: prevalence and correlation between disk morphology and displacement. Eur J Radiol. 2013;82(6):990–4. [DOI] [PubMed] [Google Scholar]
- 29.Li CX, Liu X, Gong ZC, Liu H, Jumatai S. Effects of condyle on disc status of the reducing and nonreducing anterior disc displacement of the temporomandibular joint based on 3D reconstructive imaging: a pilot study. Quintessence Int (Berlin Germany: 1985). 2023;54(2):156–66. [DOI] [PubMed] [Google Scholar]
- 30.Dhabale GS, Bhowate RR. Cone-Beam computed tomography for temporomandibular joint imaging. Cureus. 2022;14(11):e31515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kurita H, Ohtsuka A, Kobayashi H, Kurashina K. A study of the relationship between the position of the condylar head and displacement of the temporomandibular joint disk. Dento Maxillo Fac Radiol. 2001;30(3):162–5. [DOI] [PubMed] [Google Scholar]
- 32.Bouloux GF. The use of synovial fluid analysis for diagnosis of temporomandibular joint disorders. Oral Maxillofac Surg Clin N Am. 2018;30(3):251–6. [DOI] [PubMed] [Google Scholar]
- 33.Xu J, Wang D, Yang C, Wang F, Wang M. Reconstructed magnetic resonance image-based effusion volume assessment for temporomandibular joint arthralgia. J Rehabil. 2023;50(11):1202–10. [DOI] [PubMed] [Google Scholar]
- 34.Higuchi K, Chiba M, Sai Y, Yamaguchi Y, Nogami S, Yamauchi K, Takahashi T. Relationship between temporomandibular joint pain and magnetic resonance imaging findings in patients with temporomandibular joint disorders. Int J Oral Maxillofac Surg. 2020;49(2):230–6. [DOI] [PubMed] [Google Scholar]
- 35.Topaloglu Yasan G, Adiloglu S, Tuz HH, Sahar D. Evaluation of clinical signs and magnetic resonance imaging findings in patients with temporomandibular disorders. J cranio-maxillo-facial Surgery: Official Publication Eur Association Cranio-Maxillo-Facial Surg. 2023;51(7–8):441–7. [DOI] [PubMed] [Google Scholar]
- 36.Koca CG, Gümrükçü Z, Bilgir E. Does clinical findings correlate with magnetic resonance imaging (MRI) findings in patients with temporomandibular joint (TMJ) pain? A cross sectional study. Med Oral Patologia Oral Y Cir Bucal. 2020;25(4):e495–501. [DOI] [PMC free article] [PubMed]
- 37.Thomas N, Harper DE, Aronovich S. Do signs of an effusion of the temporomandibular joint on magnetic resonance imaging correlate with signs and symptoms of temporomandibular joint disease? Br J Oral Maxillofac Surg. 2018;56(2):96–100. [DOI] [PubMed] [Google Scholar]
- 38.Takahara N, Nakagawa S, Sumikura K, Kabasawa Y, Sakamoto I, Harada H. Association of temporomandibular joint pain according to magnetic resonance imaging findings in temporomandibular disorder patients. J Oral Maxillofacial Surgery: Official J Am Association Oral Maxillofacial Surg. 2017;75(9):1848–55. [DOI] [PubMed] [Google Scholar]
- 39.Takahashi T, Kondoh T, Fukuda M, Yamazaki Y, Toyosaki T, Suzuki R. Proinflammatory cytokines detectable in synovial fluids from patients with temporomandibular disorders. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1998;85(2):135–41. [DOI] [PubMed] [Google Scholar]
- 40.Roh HS, Kim W, Kim YK, Lee JY. Relationships between disk displacement, joint effusion, and degenerative changes of the TMJ in TMD patients based on MRI findings. J cranio-maxillo-facial Surgery: Official Publication Eur Association Cranio-Maxillo-Facial Surg. 2012;40(3):283–6. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.




