A novel maxillary transverse deficiency diagnostic method based on ideal teeth position

Maxillary transverse deficiency (MTD) is a skeletal deficiency of the upper jaw that was first proposed by Angell E [1]. The condition is pervasive in orthodontic patients [2, 3] yet more likely to be overlooked than sagittal and vertical discrepancies [4]. Such missed cases are especially likely for mild skeletal Class III patients, who have teeth compensation and no clinical crossbite in the posterior area [5]. Due to the transverse dimension being the earliest to establish, it can adversely affect the consequent sagittal and vertical growth. This alteration in development occurs in the presence of obvious initial transverse discrepancies such as facial asymmetry, posterior crossbite, and scissor bite, particularly following a lack of timely correction [3, 6, 7]. Therefore, choosing a reliable and valid diagnostic method for transverse abnormalities is crucial before planning patients’ treatment.

Recently, increasingly more research has focused on the diagnosis of MTD, facets including clinical evaluation [8, 9], model analysis [10‐12], and radiographic measurements, which had been recommended for assessment of the condition [13]. Among these methods, Andrews’ Element III Analysis defined the optimal jaw widths [14] and is the most widely used model analysis method at present. Posteroanterior cephalograms (PACs) were once considered the most available and reliable methods, however, the conventional two-dimensional (2D) images of skeletal structures have technical limitations that reduce the accuracy of landmark location [15, 16]. Cone-beam computed tomography (CBCT) shows more invariability and reproducibility for transverse measurements [17], such examples include the University of Pennsylvania Cone-Beam CT Analysis [18], the Yonsei transverse index [19], and Case Western University’s (CWRU) transverse analysis [20] et al.

Nevertheless, all these methods are based on the pre-treatment teeth positions instead of the final teeth positions. When we assess a patient's condition, the ideal final position of the dentition should be used as a criterion, which follows the "start with the end". Besides, orthodontic and orthopedic appliances allow teeth to move within the alveolar bone or to move with the jaws in three dimensions, these position changes of the teeth and jaw in three dimensions can affect the relative transverse relationship [21]. Therefore, We propose a goal-oriented, inverse approach to assess maxillary width: Basing on The Six Elements of Orofacial Harmony [22] (except element III), the ideal maxillary and mandibular dentition and tooth positions were obtained separately using digital alignment techniques, and the coordination of maxillary and mandibular transverse widths was evaluated in this positions.

A total of 60 patients were randomly enrolled in this study, including 30 skeletal Class III and 30 skeletal Class I subjects respectively, the skeletal Class III group included 14 male patients and 16 female patients, with a mean (SD) age of 17.9 (0.9) years and the skeletal Class I group including 9 male patients and 23 female patients, with a mean (SD) age of 21.4 (1.1) years. The ICC with 95% confidence intervals for intraexaminer reliability were all above 0.85, indicating good to excellent reliability. The results showed no significant sex differences between the two groups in all measurements (Table 2), which meant errors caused by gender differences were minimal in our study.

Table 3. showed the measurement and statistical results in two groups. All measurement results conformed to normal distributions. The independent t-test showed that there were no significant statistical intergroup differences in W_xF6 (P = 0.795), W_xCR6 (P = 0.187), W_x4 (P = 0.795), W_d4 (P = 0.480), D₄ (P = 0.285). However, W_dF6 of the Class III group and Class I group was 47.72 ± 1.97 mm and 46.44 ± 2.32 mm respectively, which showed significant statistical differences (P = 0.025); W_dCR6 of the Class III group and Class I group was 49.33 ± 1.97 mm and 47.60 ± 2.17 mm respectively, which showed significant statistical difference (P = 0.002); D_F6 of Class III group and Class I group was 1.97 ± 2.15 mm and 3.11 ± 1.73 mm respectively, which showed significant statistical difference (P = 0.023); D_CR6 of Class III group and Class I group was − 1.32 ± 2.50 mm and 1.21 ± 2.10 mm respectively, which also showed significant statistical difference (P = 0.000).

Orthodontic treatment should abide by the concept of ‘starting with the end’, and the same should be true of orthodontic diagnostic methods. Clinicians may easily underestimate transverse discrepancies that are masked by teeth compensation. Therefore, in this study, we chose skeletal Class I and mild skeletal Class III subjects without clinically posterior crossbites to aligned the teeth at the ideal teeth positions, evaluated and compared their transverse widths, our study was dedicated to the diagnostic effectiveness of MTD. In our study, we chose the fossa of the maxillary first molar as the landmark at the crown instead of the mesiopalatal cusp, which corresponds to the fossa of the mandibular first molar, because the fossa was more stable and reproducible than the cusp, which may have attrition or abrasion. We set the standard of maxillomandibular width difference at first bi-molar central fosses to 5 mm, because research has shown that in instances where the mesiopalatal cusp of the maxillary first molar and the mesiobuccal cusp of the mandibular first molar are centered in the central fossae of the molars in the opposing arch, the distance between the cusp tips will be approximately 2.5 mm (for a total amount of 5 mm) [18, 24, 25] (Fig. 3E).

The present study found that the D_F6 and D_CR6 were both significantly lesser in the mild skeletal Class III group than in the skeletal Class I group and the D_F6 of the former was markedly less than 5 mm, it indicated that the mild skeletal Class III group indeed had maxillary transverse deficiencies, this finding was consistent with previous studies measuring transverse widths at pre-treatment dentations [19, 26, 27]. However, the mean of the first bi-molar width differences in skeletal Class I was also lesser than 5 mm, suggesting that even skeletal Class I patients may possess a certain degree of maxillary transverse deficiency, on the one hand, this is due to the fact that most patients who come to the hospital still have a certain degree of deformity even for skeletal Class I malocclusion, on the other hand, the skeletal classification is carried out according to the sagittal direction, which cannot represent normal development in the transverse direction. This particular finding deviated from the previous perception and hence requires further research to confirm it. Most previous research defaulted that the values of skeletal Class I patients could represent the normal standards, but malocclusions happen in three dimensions and skeletal classification only reflects the sagittal conditions. Thus, this finding prompted us not to ignore transverse deficiency evaluation in skeletal Class I patients, and for those diagnostic methods that used skeletal Class I values as the standard criteria [19], we should use them with caution, or else in combination with other diagnostic methods. In addition, in clinical practice, 3 mm is typically chosen as the standard to judge whether the patient needs arch expansion treatment, if the width of the mandibular base bone exceeds 3 mm than the maxillary base bone, bone expansion treatment must be considered [6, 10, 28]. Clinically, skeletal class I patients usually do not require additional arch expansion devices, which, combined with the results of this study, confirms this "3 mm critical value" point of view.

There was no statistical difference between W_xF6 and W_xCR6, the difference was mainly between W_dF6 and W_dCR6. This finding indicated the MTD of the skeletal Class III group mainly caused by mandibular prognathism, it was consistent with previous research [27], Spalj et al. also found that mandibular prognathism with a normal maxilla is the most common differential skeletal type in skeletal Class III patients [29]. But Hwang et al. considered that there was no significant difference in the mandibular transverse width at the alveolar crest or mid root level between the Class III and Class I groups, and the maxillary buccolingual alveolar width at the mid root level was significantly smaller in the Class III group compared with that of the Class I group [7]. So larger sample sizes and more detailed taxonomy studies are required to confirm the conclusion, and it is worth noting that the study of Hwang et al. measured at the alveolar crest, so the alveolar thickness may have influenced the results, alongside a possible impact caused by subjects’ difference, as our study only included mild skeletal Class III patients rather than all skeletal Class III patients.

Besides, the first bi-molar width differences measured at center resistance in the two groups in our study were larger than Koo’s results, this difference may be due to ethnographic differences or sample selection, but it is also likely that even if the center resistance is more stable than the other positions of the tooth, due to its’ position changes with the tooth three-dimensional movement during orthodontic treatment, evaluating transverse width from the center resistance at pre-treatment dentitions is still inaccurate and inadequate.

The first bi-premolar widths showed no statistically significant intergroup differences. This contrasted with previous research findings [19] which showed remarkable differences in basal arch widths between the normal occlusion versus the Class III malocclusion groups in the first premolar area. Such differences might be due to the premolar teeth compensation in Class III malocclusion and change in dental arch shape during teeth alignment. Besides, we found that there were no significant gender differences in all transverse width differences between the groups, but many studies proved gender differences in the widths of the maxilla or mandible [7, 26, 29]. It indicated that it was more reliable and convenient to choose maxillomandibular width difference in the transverse width evaluation instead of the single jaw width.

Jacobs et al. [21] proposed that maxillary transverse deficiencies should be corrected and reassessed after correcting the sagittal relationship. The Six Elements of Orofacial Harmony defined that the maxillomandibular transverse measurement should be taken on the optimal arch. In this study, thanks to digital align technology, we could simulate the ideal teeth positions that draw on the principles advocated by Jacobs and The Six Elements of Orofacial Harmony, so the results can more realistically reflect the maxillomandibular transverse width. McNamara et al. and Moyers [30, 31] reported that the maxillary intermolar width was established at age 12 for girls and increased by 1.4 mm between the ages of 12 to 18 for boys. Therefore, our study’s results reflected permanent dentition characteristics.

As Wagner and Chung noted that there was a relationship between transverse growth and vertical facial types [32], so further studies are needed to investigate the characteristics of other dentitions and different vertical bone profiles. This method provided a new diagnostic perspective, and with the future development of intelligent teeth arrangement software alongside larger sample sizes, this method could become both more scientific and convenient and help to explore the gold standards of transverse width difference.

Since the orthodontic treatment process involves six degrees of freedom in three-dimensional space and patients who come to seek treatment have certain abnormalities, the purpose of orthodontics is to correct or improve these abnormalities through the movement of teeth or jaws. This means that the orthodontic landmarks used in the diagnostic method based on pre-treatment dentition will move both during and after treatment, hence they are inaccurate and insufficient in evaluating maxillary transverse deficiency. We proposed a new method that simulated the ideal tooth position by using digital align technology. This position is not only close to the optimal treatment goals but also close to the after-treatment tooth position, which can better reflect the existence of maxillary transverse deficiency. Using this method, we measured skeletal Class I and mild skeletal Class III patients to find that: