Analysis of Data Derived from Low-Dose C.B.C.T.


1. Introduction

Temporomandibular disorders (TMDs) encompass a range of clinical problems related to the temporomandibular joint (TMJ) and associated structures. Affecting approximately 5% to 12% of the population, TMDs represent one of the most common musculoskeletal conditions, second only to chronic back pain. TMDs are associated with pain, dysfunction, and a reduced quality of life for many patients [1].

While various diagnostic criteria, such as the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD), have been effective in categorizing TMDs, the relationship between dental occlusion and TMDs remains debated. Some studies have suggested that specific skeletal malocclusions, particularly those related to sagittal and vertical discrepancies, could predispose patients to TMDs. Lateral cephalograms have long been used to examine these craniofacial characteristics, but more recent advances in low-dose cone-beam computed tomography (CBCT) offer a detailed assessment of the TMJ and surrounding structures.

This study identify the morphological profiles and skeletal malocclusions with the highest impact on TMD developments through cephalometric analysis derived from CBCT images. By focusing on cephalometric variables and condylar positioning, this research seeks to provide a deeper understanding of how craniofacial morphology influences the development of TMDs and to highlight potential pathways for more personalized treatment approaches.

2. Temporo-Mandibular Disorders (TMDs)

Temporomandibular disorders (TMDs) are a significant health concern, affecting approximately 5% to 12% of the population. TMDs are the second most prevalent musculoskeletal condition, trailing only chronic back pain, and can result in pain and disability.

Studies by Lipton and others have demonstrated that while about 6% to 12% of the population exhibit clinical symptoms of TMDs, only around 5% display substantial signs and symptoms that necessitate treatment [1].

TMD-related to pain can impact daily activities, psychosocial functioning, and overall quality of life. Patients frequently seek dental advice for their condition, particularly when it is accompanied by pain.

For both clinical and research settings, there is a need for diagnostic criteria for TMDs that provide simple, clear, reliable, and valid operational definitions for clinical history, physical examination, and diagnostic tests. Additionally, it is crucial to evaluate pain-related behavior and psychosocial functioning, which are integral to the diagnostic process. This evaluation provides the minimum information necessary to determine if the patient’s pain disorder, especially if chronic, requires further multidisciplinary assessments. The new Diagnostic Criteria for TMDs (DC/TMD), which are evidence-based, will enable clinicians to assess patients and facilitate communication regarding consultations, referrals, and prognosis [2].
As far back as 1992, efforts were made to establish a common language to assist clinicians in diagnosing and classifying various temporomandibular joint disorders, with or without pain. Initially, the focus was always on the physical and anatomical aspects of TMDs, whether intra-articular or extra-articular (Axis I), without considering the social and psychological aspects of the patient [2].
Over time, it became apparent that TMDs, especially when associated with pain, could also be influenced by the patient’s psychological state or by parafunctions related to stress or other psychological factors such as anxiety and depression. Conversely, pain could exacerbate the patient’s stress and discomfort in daily life [2].

This led to the introduction of the Axis II protocol, which is divided into sets of self-report screening and comprehensive tools. The screening tools, consisting of 41 questions, assess pain intensity, pain-related disability, psychological distress, functional limitations of the jaw, and parafunctional behaviors. A pain drawing is used to assess the locations of pain.

The comprehensive tools, consisting of 81 questions, provide a detailed assessment of the functional limitations of the jaw and psychological distress, as well as additional constructs of anxiety and the presence of comorbid pain conditions.

Today, despite the development of various methods with diagnostic reliability and validity for diagnosing TMDs, the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) remain the most widely used, accurate, and comprehensive diagnostic criteria globally for evaluating and classifying TMDs. These criteria consider both the characterization of the joint and muscle disease (Axis I) and psychosocial disability (Axis II) [2].

2.1. Classification

Temporomandibular disorders (TMDs) can be most effectively and educationally categorized as follows (Dworkin 1992) [2]:

Group 1: Muscular disorders (most prevalent in the population)

Group 2: Disk displacements

  • Disk displacement with reduction (reduction refers to the recapture of the disk);

  • Disk displacement without reduction with limited opening;

  • Disk displacement without reduction without limited opening.

Group 3: Inflammatory and noninflammatory diseases

In 1994, A. Modesti proposed a more clinical classification that would guide the practitioner in choosing therapy depending on whether it was of muscular or joint origin.

  • Type I: Muscular syndrome;

  • Type II: Compressive syndrome with mild initial clicking;

  • Type III: Compressive syndrome with pronounced clicking;

  • Type IV: Blockage;

  • Type V: Dislocation.

2.2. Skeletal Malocclusion and TMDs

Skeletal Class II and III malocclusions can have varying characteristics and can be multifactorial, resulting from both environmental and genetic factors. Class II skeletal malocclusion can be characterized by a hypomandibular condition or lack of breastfeeding; spoiled habits such as prolonged use of a pacifier, bottle, and finger sucking (these factors could lead to the development of such skeletal malocclusion if the spoiled habit is not corrected); or genetics. Another component can be a repositioned mandible, always influenced by such spoiled habits. Conversely, there can be an excessive advancement of the maxilla.

Studies by McNamara in 1891 revealed that 2/3 of the 277 children analyzed had a normopositioned maxilla, 10% presented a maxillary protrusion, and about 25% even presented a retrusion. In conclusion, in most cases, the maxilla is normally positioned. About the mandible, 60% showed the mandible in a retruded position, both taking as a reference the cranial base and the distance of the pog point and the line passing through the Nasion perpendicular to FH. In conclusion, the second malocclusion is often caused by a repositioned mandible [3].
For Class III, the situation is different; the genetic component can be predominant. A study by MC Namara showed that 20% of children had mandibular prognathism, and 25% had maxillary retrusion. This suggests that genetic factors can play a significant role in the development of Class III malocclusions [3,4].
Furthermore, a difference has been observed in the more open gonial angle, larger mandibular angle, increased mandibular length, and dentoalveolar compensations compared with Class I subjects [5].

In conclusion, Class III skeletal malocclusion involves a wide range of variables and dental and skeletal characteristics that need to be well diagnosed and distinguished in order to carry out correct therapy. This highlights the importance of a comprehensive and detailed examination for each individual patient. Few studies have investigated the structural dentofacial and orthodontic relationships related to temporomandibular joint (TMJ) disorders.

A study, led by Chung-Ju Hwang and team, centered on the lateral cephalometric features in patients with malocclusion who exhibited symptoms related to temporomandibular joint disorders.

Moreover, Chung-Ju Hwang and his team suggested a distinct classification system for TMJ disorders, incorporating significant and clinically pertinent characteristics.

Cluster analysis, an unsupervised learning model frequently employed in data mining, aids in identifying subtypes of various diseases based on numerous indicators, including idiopathic inflammatory myositis and Class III malocclusion [6].

3. Materials and Methods

3.1. Sample and Study Model

Our study was retrospective, as it began with individuals who had already developed the event of interest.

It examined the exposure to potential risk factors, in this case, the onset of TMDs related to malocclusions.

The study was carried out in the orthognathodontics department of Gabriele D’Annunzio University in Chieti.

A group of 67 patients (comprising both males and females) were examined during the peak period of first visits, which at our university was the spring period from March to June.

All these patients showed signs of temporomandibular joint disorders, as diagnosed during their first visit through a comprehensive gnathological history, VAS (visual analogue scale), so the patient was required to identify areas of pain, indicating the severity (using a scale from 0 = no pain to 10 = maximum pain) and the frequency of the discomfort, as well as its impact on daily activities (Nishiyama A, Otomo N, Tsukagoshi K, Tobe S, Kino K. The truepositive rate of a screening questionnaire for temporomandibular disorders. Open Dent. J. 2014) [7] and finally palpation, by Professor Felice Festa and the specialists of the orthognathodontics department at the University of Chieti.

The criteria for inclusion in the study were as follows: (a) patients being diagnosed with TMDs for the first time. Patients with a first-time diagnosis were included to study the initial stages of TMDs without the influence of prior treatments or interventions that could skew the morphological assessment; (b) patients aged 18 and above (19 y.o. to 70 y.o.). This criterion ensured that the sample included only adult patients whose craniofacial development was complete. This eliminated any variability that could have arisen from ongoing skeletal growth in younger individuals; (c) patients with accessible medical records, wide-field-of-view cone-beam low dosage, and photographs. These records and imaging techniques were essential for conducting a detailed and accurate analysis of the patients’ craniofacial structures and TMJ morphology. CBCT, in particular, allows for precise cephalometric analysis, which is critical for identifying morphological patterns associated with TMDs.

The criteria for exclusion from the study were: (a) patients with a history of tumors, trauma, surgical interventions in the jaw or facial area These factors could introduce significant variability in craniofacial morphology and TMJ function, making it difficult to attribute observed TMD characteristics to skeletal malocclusions alone. By excluding such cases, the study aimed to isolate the role of dental and skeletal malocclusions in the development of TMDs; (b) presence of fractures and other craniofacial anomalies. These conditions could alter the morphology of the TMJ and surrounding structures, confounding the results. Excluding patients with these conditions ensured a more homogeneous sample, focusing on those whose TMDs may be related to skeletal discrepancies rather than other complicating factors; (c) degenerative disease that implies changes in the bones, ligaments, and muscles.

This selection process ensured that the sample was both representative of typical TMD patients and sufficiently homogeneous to allow for meaningful comparisons and conclusions regarding the relationship between craniofacial morphology and TMDs.

3.2. Cone-Beam and Low-Dose Protocol

All telecrania were obtained from the 2D lateral section of the wide-FOV low-dose cone beam that every patient underwent before final evaluation by Professor Felice Festa. The low-dose protocol is crucial for reducing the patient’s radiation dose [8].
The low-dose CBCT protocol, with a wide FOV, normal-resolution images, 80 kVp, 5 mA, and a 15 s acquisition time, resulted in an effective dose value of 35 micro Sieverts (μSv). This protocol allowed for high-quality imaging of the maxillofacial region with very low radiation exposure [8].

3.3. Extraction Data

For the study, telecrania of 67 patients (44 female and 23 male) who had undergone low-dose cone-beam computed tomography (CBCT) in the orthodontics department of Chieti during their initial visit were selected. Each patient’s CBCT was performed with the head oriented according to the natural head position (NHP). The patient was seated with their back as perpendicular to the floor as possible. The head was stabilized using ear rods placed in the external auditory meatus. The patient was asked to look into a mirror 1.5 m in front of them to achieve the NHP and to keep their teeth in contact.

The NHP is a reproducible and physiologically determined position used for morphological analysis, as described in orthodontic and anthropological literature [9].
After X-ray scanning, the Digital Imaging and Communications in Medicine (DICOM) image files were processed using Dolphin Imaging 3D software 11.95 (Dolphin Imaging and Management Solutions, Chatsworth, CA) for storage and interpretation. Establishing a predefined orientation of the patient’s head was necessary to obtain predictable and repeatable three-dimensional (3D) analysis [10].
  • The cranial image was then oriented according to the NHP in three perpendicular spatial planes:

  • The transverse plane coincided with the Frankfurt horizontal plane (FH), passing through two points: Orbitale (Or) and Porion (Po);

  • The sagittal plane coincided with the midsagittal plane (MSP), perpendicular to the FH plane and passing through two points: Crista Galli (Cg) and Basion (Ba);

  • The coronal plane coincided with the anteroposterior plane (PO), perpendicular to both the FH and MSP planes, passing through the right and left portions.

Following head orientation, various 2D virtual radiographs were extracted, including the lateral cephalogram, from which we derived the cephalometric data analysis.

4. Analysis of the Morphological Profiles of Patients with TMDs Through Data from Telecrania and Condylar Sections

For the study, 26 variables were investigated, of which 24 were cephalometric data derived from linear and angular measurements related to verticality and sagittality concerning bone bases, teeth, and soft tissues; the other 2 variables were age and sex. In Table 1, the average values of the cephalometric data obtained from the cephalometric study of the telecrania are reported.

Our study also considered gender as a variable, as previous studies have done.

Subsequently, the morphology and position of the condyle of all patients were investigated, taking into account the divergence, thanks to the 3D and 2D sections obtained through the Dolphin software 11.95 from the low-dose cone beam with a wide FOV, which allowed measurements and investigation of anatomical structures at 360°.

Measurements of lengths and volumes in different planes are possible with 3D CBCT images, allowing precise diagnoses and predictability of treatment results [11].
The position of the condyle was investigated through measurements made on the 2D sections obtained through the Dolphin software. All measurements of the condyle–fossa relationships were performed on the sagittal section passing through the midpoint of the distance between the medial and lateral poles of the condylar head, and perpendicular to the coronal plane. The images were then formatted and oriented according to the coronal and sagittal planes [12].
The following were calculated: JSA (minimum anterior joint distance), SSP (minimum posterior joint distance), JSS (upper joint space) [Figure 1]. The concentricity of the condyle in the fossa was calculated using the following equation by Pullinger and Hollinder [11]:

Linear Ratio (LR) = (P − A)/(P + A) × 100

where P is the closest posterior measurement and A is the closest anterior measurement.

If LR < −12—posterior position;

If −12 < LR < 12—concentric position;

If LR > 12—anterior position [13].
The condylar morphology was studied by observing the 3D sections of the cone beam [14].
The vertical distance between the deepest point of the fossa and the most prominent upper point of the mandibular condyle was also measured [Figure 2].

A vertical distance of 1–4 mm was considered normal; 4 mm: condyle positioned inferiorly; <1 mm: condyle positioned superiorly.

A value of 0 mm was indicated as bone contact.

5. Results

5.1. Cephalometric Data by Sex

The study analyzed cephalometric data from 67 patients (44 females and 23 males) diagnosed with temporomandibular disorders (TMDs). The key findings are summarized below, with visual aids provided to clarify the differences between groups.

Male patients:

Sagittal Profile: Of male patients, 56% exhibited a Class II skeletal profile due to mandibular retrognathia, while 17% showed a Class III profile and 27% had a Class I profile.

Vertical Profile: Of males, 73% were brachyfacial with a hypodivergent pattern, while 20% were normodivergent and 8% were dolichofacial.

Dental Relationships: Increased overjet and a tendency towards deep bite were observed; 23% of male patients presented with a deep bite.

Condyle Position: In Class II hypodivergent males, the condyle was positioned posteriorly and nonconcentrically. In mesodivergent patients, it was in a concentric position, while in hyperdivergent males, the condyle was slightly anterior [Table 1].
Table 1 includes sagittal, vertical, and dental relationships for both male and female patients, providing an overview of the distribution of skeletal classes and cephalometric characteristics.

Female Patients:

Sagittal Profile: 79% of females presented with a Class II skeletal profile characterized by mandibular retrognathia, 16% had a Class I profile, and only 8% exhibited a Class III profile.

Vertical Profile: 47% of female patients were hypodivergent, 43% were mesofacial, and 10% were dolichofacial.

Dental Relationships: 48% of females with a Class II profile had an increased overjet, while 17% presented with a deep bite.

Condyle Position: In Class II hypodivergent and normodivergent females, the condyle was non-concentric and positioned posteriorly, while in hyperdivergent patients, the condyle was positioned more anteriorly and higher in the fossa [Table 2].

5.2. Condyle–Fossa Relationships

The analysis of the condyle position in relation to the glenoid fossa revealed significant differences between sexes and skeletal classes:

Male Patients: In Class II hypodivergent males, the condyle was positioned more posteriorly in the fossa, while in hyperdivergent males, it was slightly anterior. In Class I patients, the condyle was almost concentric [Table 3].
Female Patients: In Class II hypodivergent females, the condyle was positioned posteriorly, while in hyperdivergent females [Table 2] the condyle was located more anteriorly and higher in the fossa [Table 2].
Table 2 and Table 3 [Condyle–Fossa Relationships by Sex and Skeletal Class], highlights the anterior–posterior (A-P) and superior–inferior (S-I) condylar positioning for male and female patients with Class I, II, and III profiles [Figure 3 and Figure 4].

5.3. Comparison of Cephalometric Variables

A comparison of the average values for cephalometric variables, including angles and measurements related to verticality and sagittality, showed distinct patterns in male and female patients [Scheme 1].

This scheme helps to easily visualize the differences in cephalometric variables between the two groups, clearly illustrating how males and females differed in terms of angles and skeletal measurement.

For example:

FMA Angle: Males with a hypodivergent profile had a lower FMA angle (19°) compared with the normal value of 25°, while females had a slightly higher average (27.58°).

Mandibular Length: Female patients exhibited a shorter mandibular length (70 mm) than males (65.41 mm), which may have contributed to the higher prevalence of Class II profiles among females.

5.4. Gender Differences in TMD Profiles

There was a notable gender difference in the presentation of TMD symptoms, with females more frequently exhibiting Class II profiles and showing a tendency towards mandibular retrognathia.

Males, on the other hand, were more likely to have brachyfacial, hypodivergent patterns [Scheme 2].

This pie chart shows the percentage distribution of Class I, II, and III profiles by sex, highlighting the prevalence of Class II in females.

Summary of Findings

A higher prevalence of Class II skeletal profiles was observed in both male (56%) and female (79%) patients with TMDs, although females were more likely to exhibit retrognathia.

Males exhibited a stronger tendency towards a hypodivergent, brachyfacial profile, while females showed a broader range of vertical facial patterns.

The condyle was positioned more posteriorly in Class II hypodivergent patients, both male and female, while hyperdivergent patients tended to have an anteriorly positioned condyle [15].

6. Discussion

The temporomandibular joint (TMJ) is one of the most sophisticated anatomical elements in the human body, playing a significant role in dental practice.

The mandibular condyle, a fundamental component of the TMJ, directly impacts the stability of therapeutic outcomes in patients undergoing orthodontic, orthopedic, and orthognathic surgery and dental prosthetic treatments [16].

Consequently, during diagnosis and treatment, physicians should pay particular attention to the position and shape of the mandibular condyle and the patient’s skeletal morphology.

Despite numerous studies observing the specific craniofacial characteristics of patients with TMDs through cephalometric analysis, these were unable to represent the entire morphology and were difficult to apply clinically [6].
One research paper indicated that certain dentofacial and orthodontic traits may be linked with the displacement of the TMJ disc, potentially influencing the risk of developing temporomandibular disorders. Study [5] delved into these connections.

Specific facial structures, such as hyperdivergence or skeletal Class II and III malocclusions, could play a role in the emergence of temporomandibular disorders and their associated symptoms.

In our work, we were used the same methodology as a Chinese study [6]. This study was the first to classify TMDs using an unsupervised analysis based on lateral cephalometric radiographs, identifying only subgroups among patients with TMDs and excluding healthy populations without TMDs.
With our research, we highlight what types of malocclusion had a greater impact on the onset of TMD symptoms and, at the same time, on the condyle–fossa relationship. The low-dose cone-beam CT helped us in this case, and it can be proposed in selected cases where a comprehensive evaluation of the dental and maxillofacial region is beneficial for orthodontic treatment planning [8].
The gender distribution in our study reflected the clinical reality, where women represent the majority of patients with TMDs, as hormonal fluctuations related to menopause and the menstrual cycle often exacerbate and worsen symptoms [1,2]. Among the patients who tested positive for TMD symptoms (headache, muscle tension in the head–neck area, dizziness, and cervical pain) on their first visit to the orthognathodontics department in Chieti, out of 67, 44 were women and only 23 were men.

6.1. Gender Differences in Skeletal and Morphological Profiles

Our findings confirmed that female patients were more likely to present with Class II skeletal profiles, often characterized by mandibular retrognathia, than male patients. In contrast, males demonstrated a higher prevalence of Class I and brachyfacial hypodivergent profiles. These results were consistent with previous studies that suggested that hormonal factors, such as fluctuations during the menstrual cycle and menopause, may influence the manifestation and severity of TMD symptoms in women [1,2].

6.2. Implications of Gender Differences for Diagnosis and Treatment

6.2.1. Diagnostic Implications

The gender differences observed in skeletal profiles have important diagnostic implications. Since females are more likely to exhibit Class II malocclusions and mandibular retrognathia, clinicians must be vigilant in assessing these traits during the diagnosis of TMDs in women. Additionally, hormonal fluctuations, which are more prevalent in females, may exacerbate symptoms and lead to more frequent consultations. This highlights the need for a thorough clinical history, including hormonal influences, to better understand the progression of TMDs in female patients.

For male patients, who are more likely to present with brachyfacial hypodivergent patterns, the emphasis may need to shift towards identifying skeletal discrepancies that could lead to joint compression. Hypodivergent patterns are associated with greater joint compression, which may increase the risk of muscle hypertonia and related pain. This suggests that different cephalometric features, such as mandibular length and FMA angle, should be prioritized when diagnosing TMDs in males.

6.2.2. Treatment Implications

The differences in skeletal morphology between males and females also have significant implications for treatment. In females, the prevalence of mandibular retrognathia (Class II) suggests that treatments aimed at correcting sagittal discrepancies, such as orthodontic appliances or orthognathic surgery, may be particularly effective. Additionally, since women are more likely to experience pain exacerbated by hormonal factors, it may be beneficial to integrate multidisciplinary approaches that include pain management strategies tailored to hormonal cycles.

For males, treatments may need to focus more on managing hypodivergent patterns, which are linked to increased joint compression. Orthopedic interventions that address joint loading and muscular tension could be essential in preventing further degeneration of the temporomandibular joint. Understanding these morphological differences could also aid in preventing the progression of TMDs by addressing structural issues early in treatment.

6.2.3. Broader Understanding of TMDs

These gender-specific differences in skeletal morphology also contribute to the broader understanding of TMDs. Recognizing that TMDs may manifest differently in males and females allows for more precise categorization of the disorder, which could lead to improved diagnostic criteria and treatment protocols.

Furthermore, recent research highlights the potential link between TMDs and systemic conditions such as rheumatoid arthritis (RA). For instance, a 2023 study demonstrated a significant association between TMDs and RA, suggesting that patients with RA exhibit a higher prevalence of TMDs due to underlying systemic inflammation and joint degeneration, factors that may also influence the TMJ (applied with modification). This further emphasizes the need for a comprehensive diagnostic approach that considers both local and systemic factors, especially in patients with chronic inflammatory diseases such as RA [17].

As for age, one of the inclusion criteria was being of legal age; the average age of women, 41.5 years, was higher than that of men, 35.8 years. In both cases, it was noted that symptoms tended to manifest more frequently after the age of 35.

It is extremely difficult to predict the appropriate evolution of temporomandibular disorders (TMDs) based solely on the presence or absence of a malocclusion. From the results of our study, but also from those carried out previously [10], it was possible to infer that Class II malocclusion has a higher incidence in muscular disorders, but there is no defined link in the scientific literature with specific joint problems such as clicks, joint block, or dislocations. Therefore, Class II malocclusion seems to be associated only with muscular problems.
Understanding the correlation between the condyle and the glenoid fossa in three dimensions can provide experts with the necessary tools to identify the onset of degenerative joint diseases or recognize already existing problems, thus facilitating more effective treatment planning [15]. Consequently, clinical interpretation, together with the accurate identification of these values, can play a crucial role in the diagnosis and treatment planning in various skeletal relationships.
Many studies have highlighted that the correlation between the condyle and the fossa changes based on the shape of the face both in the sagittal and vertical sense. An examination conducted by Saccucci and his team [16] on the volume of the condyle in individuals with different anteroposterior and vertical skeletal models revealed that subjects with a hypodivergent model have a higher condyle volume than those with a normodivergent or hyperdivergent model.
In fact, the morphology of the TMJ varies among individuals. Several variables can influence this morphology, including functional loads; this could be due to the close relationship between form and function, which differs among subjects with different types of malocclusion [11].

The comparisons made between our study and previous research have significant implications for the field of orthodontics and temporomandibular disorder management. The alignment of our findings with established research strengthens the evidence for individualized diagnostic and therapeutic approaches based on skeletal morphology.

From our study, as already highlighted by a study by Bjork, patients, both women and men and regardless of skeletal malocclusion, with hyperdivergent facial models have more advanced and higher condyles than those with normal or low FMA angles. These results could have significant implications for understanding the growth and development of the face.

7. Conclusions

This study provides valuable insights into the relationship between craniofacial morphology and temporomandibular disorders (TMDs), revealing important gender-specific differences. Our findings showed that Class II skeletal malocclusions, particularly mandibular retrognathia, were more prevalent in females with TMDs, while males exhibited a higher incidence of brachyfacial hypodivergent profiles. These morphological differences suggest that distinct diagnostic and treatment strategies may be required for male and female patients.

In summary, based on the information gathered from the literature and our study, it can be stated that:

Class II malocclusion is more frequently associated with muscular disorders. However, there is no definitive link in the scientific literature with specific joint problems such as clicks, joint blockage, or dislocations. Consequently, it appears that Class II malocclusion is related only to muscular problems.

We therefore found that the reduced vertical dimension of the face that hypodivergent patients present leads to greater compression of the joint tissues and a consequent muscle hypertonia that causes painful symptoms in patients.

Hyperdivergent subjects, on the other hand, have greater ligament laxity and muscle hypotonia that shows fewer symptomatic problems of the TMJ; this does not detract from the fact that hyperdivergent subjects with ligament laxity are more subject to condyle–disc incoordination, as supported by Stringert and Worms in their study [18].

Furthermore, the position of the condyle in relation to the fossa varies significantly based on skeletal class and divergence patterns, with hypodivergent patients showing greater joint compression. This reinforces the importance of individualized diagnostic protocols that consider both skeletal and functional factors.

Finally, it is important to remember that the studies supporting the link between skeletal malocclusions and temporomandibular disorders are few. Therefore, the available information is still limited and sometimes conflicting.

The significance of this study lies in its contribution to a more nuanced understanding of how craniofacial characteristics influence the development and management of TMDs. By identifying specific skeletal patterns associated with TMDs, clinicians can improve treatment planning, potentially leading to more effective, personalized interventions. Future research should focus on expanding the sample size and exploring the interplay between systemic conditions, such as rheumatoid arthritis, and TMDs to provide further insights into the multifactorial nature of this disorder.

To resolve these discrepancies, specific areas for future research are suggested.

Longitudinal studies: Conduct long-term studies to observe the evolution of skeletal malocclusions and temporomandibular disorders over time.

Biomechanical analysis: Examine how biomechanical forces influence the relationship between skeletal malocclusions and temporomandibular disorders.

Genetics: Investigate the role of genetic factors in the predisposition to skeletal malocclusions and temporomandibular disorders.

Therapeutic interventions: Evaluate the effectiveness of various orthodontic and surgical treatments in improving the symptoms of temporomandibular disorders in patients with skeletal malocclusions.

Comparative studies: Compare groups of patients with and without skeletal malocclusions to identify significant differences in temporomandibular disorders.

However, research, thanks in part to the more detailed images provided by the cone-beam CT scan, is progressing in this field.

8. Limitations of the Study

This study was conducted without considering ‘case–control’ patients as a comparison term. Therefore, the results may be limiting on one hand, though on the other hand, they can serve as a basis for future studies, where this topic can be expanded by including a comparison with a group of patients without TMDs.

Moreover, this type of study is useful for identifying associations between risk factors and the event of interest, but it cannot establish a clear temporal sequence.



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Monica Macrì www.mdpi.com