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. 2019 Apr 3;89(6):917–923. doi: 10.2319/101218-738.1

Effects of rapid maxillary expansion on upper airway volume: A three-dimensional cone-beam computed tomography study

Yousef Abdalla a, Louise Brown b, Liselotte Sonnesen c,
PMCID: PMC8109167  PMID: 30942607

Abstract

Objective:

To compare changes in pharyngeal airway volume and minimal cross-sectional area (MCA) between patients undergoing rapid maxillary expansion (RME) and a matched control group and to identify markers for predicting airway changes using cone-beam computed tomography (CBCT).

Materials and Methods:

Pre- and posttreatment CBCT scans were selected of children who had RME (14 girls and 12 boys; mean age, 12.4 years) along with scans of a control group (matched for chronological age, skeletal age, gender, mandibular inclination) who underwent orthodontic treatment for minor malocclusions without RME. Changes in airway volume and MCA were evaluated using a standardized, previously validated method and analyzed by a mixed-effects linear regression model.

Results:

Upper airway volume and MCA increased significantly over time for both the RME and matched control groups (P < .01 and P = .05, respectively). Although the RME group showed a greater increase when compared with the matched controls, this difference was not statistically significant. A reduced skeletal age before treatment was a significant marker for a positive effect on the upper airway volume and MCA changes (P < .01).

Conclusions:

Tooth-borne RME is not associated with a significant change in upper airway volume or MCA in children when compared with controls. The younger the skeletal age before treatment, the more positive the effect on the upper airway changes. The results may prove valuable, especially in RME of young children.

Keywords: Maxillary expansion, Upper airway volume, Children, CBCT

INTRODUCTION

The dentofacial changes that develop as a result of upper airway constriction have been well documented in the literature, and early diagnosis and treatment are desirable to encourage normal craniofacial development.1 More recently, the association between upper airway morphology, sleep-disordered breathing, and obstructive sleep apnea (OSA) has been studied, and there is a general agreement that early management of these conditions may lead to better long-term medical and dental outcomes for patients.2

Rapid maxillary expansion (RME) is a commonly used orthodontic treatment to correct transverse dental and skeletal discrepancies while providing an increase in arch width to resolve mild to moderate crowding.3 Using an orthodontic appliance, force is exerted laterally against the posterior teeth or palatal mucosa, which in turn places force on the midpalatal suture. As the suture is usually patent in children and adolescents, the application of force perpendicular to it may lead to transverse maxillary growth.4

Although the primary aim of RME is to exert force on the maxilla, studies have shown that the skeletal effects are much more extensive, with displacement occurring in all bones articulating with the maxilla, except for the sphenoid bone, as well as the airway.5 Cistulli et al.6 investigated the effects of RME in a sample of 10 patients with mild to moderate OSA. Nine of these patients reported an improvement in snoring and daytime sleepiness, and all patients demonstrated a reduction in the Respiratory Distress Index, which returned to normal in seven patients. The authors concluded that RME may be a useful treatment alternative for selected patients with OSA.6

Understanding the effects of RME on the upper airway in three dimensions has historically been problematic. Acoustic rhinometry has been used; however, this technique is limited to the nasal passages.7,8 More recently, the use of medical computed tomography has been described; however, the limitations of this technique are that the radiation dose is relatively high and patients must be in the supine position.9,10 It has been shown that placement in these positions affects the volume of the airways.1114

Cone-beam computed tomography (CBCT) has been shown to be an accurate and reliable method of assessing the upper airway in the upright position15 and is able to define the boundaries between the airway spaces and soft tissues accurately in both adults and children with easily identifiable landmarks and negligible magnification.16 A recent systematic review of previous CBCT studies investigating the changes in airway before and after treatment with RME found conflicting results and a lack of homogeneity among the measurement protocols used.17 Anandarajah18 proposed and validated a standardized method of upper airway assessment using CBCT and has used this technique to demonstrate an association between maxillary and mandibular width and airway volume in healthy untreated children.19

The aims of this study were (1) to compare changes in pharyngeal airway volume and minimal cross-sectional area (MCA) in an RME group with that of a control group matched in age, skeletal age, gender, and mandibular inclination using a validated method of airway volume measurement18 and (2) to identify pretreatment markers for predicting airway change in the two groups combined.

MATERIALS AND METHODS

This was a retrospective study involving two groups: an RME group and a pair-matched control group. The expansion protocol for the RME group was to turn the expansion screw on a tooth-borne Hyrax-type expander 0.25 mm per day for a minimum of 2 weeks. There was a retention period of 6 months, after which some of the RME patients continued with fixed appliances. The matched control group underwent nonextraction orthodontic treatment with fixed appliances only (no RME) for minor malocclusions.

The CBCT scans were obtained from a database of 784 orthodontic patients who attended a private practice in Victoria, Australia, for orthodontic treatment between 2006 and 2012. Before they were entered into the database, all images were anonymized. Sex, age, morphological occlusion according to Angle's classification, and type of orthodontic treatment were also obtained from the database. The inclusion criteria were (1) RME treatment with a tooth-borne Hyrax expander due to a unilateral or bilateral crossbite, followed by fixed appliances; (2) a minimum increase of 3 mm in the intermolar width between pre- and posttreatment scans, which would result in a minimum expected orthopedic change in the maxilla of 1.5 mm20; (3) pretreatment and progress CBCT scans with complete imaging of the cranial base, maxilla, mandible, and first four cervical vertebrae and associated airways; (4) children between 8 and 15 years of age; and (5) biting in habitual intercuspal position with an Angle Class I molar relationship. The exclusion criteria were (1) previous orthodontic treatment, (2) previous adenotonsillectomy, (3) known syndromic conditions, (4) movement artifacts, (5) swallowing during scan acquisition, and (6) treatment plan requiring orthodontic extractions. Once inclusion and exclusion criteria had been applied, the final sample consisted of 26 patients. The power of the sample size was calculated, and it was determined that 21 subjects would be needed to achieve a power of 80% (α = .05).

A control group of 26 Angle Class I patients who had nonextraction treatment with fixed appliances only was randomly selected to match the RME group for chronological age (mean, 12 years, 4 months ± 2 years, 4 months), skeletal age using the Cervical Vertebral Maturation index according to Baccetti et al.21 (cervical vertebral maturation: stage 1 = 3, 2 = 8, 3 = 6, 4 = 7, 5 = 2), gender (male = 12, female = 14), and time interval between the pretreatment and progress scans (2 years ± 11 months). Patients were also matched for the mandibular inclination according to Björk22 (nasion-sella line/mandibular line 33° ± 6°), which was determined using digital tracings of lateral cephalometric radiographs generated from the CBCT scans (Total Interactive Orthodontic Planning System (TIOPS 4, Roskilde, Denmark). The study was approved by the Danish Data Protection Board (ref. SUND-2015-57-0121).

Scan Protocol

All images were acquired using an iCAT Next Generation CBCT machine (Imaging Sciences International, Hatfield, Pa) by the same operator. The following parameters were used: 120 Kv, 5 mA, 0.4-mm voxel resolution, 8.9-second scan time, and 13-cm (height) × 16-cm (diameter) scan volume. Patients were seated and restrained with a headrest and head strap but no chin rest to allow the Frankfort horizontal plane to be positioned parallel with the floor. Patients were instructed to occlude in the intercuspal position, relax their lips and tongue, breathe gently, and not swallow or move during acquisition.

Image Preparation and Airway Assessment

The Digital Imaging and Communications in Medicine (DICOM) data were processed using Dolphin Imaging Software (version 11.5; Dolphin Imaging and Management Solutions, Chatsworth, Calif). Images were analyzed under the same lighting conditions and by the same investigator using a previously validated protocol,18 which is briefly outlined below and illustrated in Figure 1.

Figure 1.

Figure 1.

Illustration of margins for delineation of upper airway. Superior: line passing from the palatal plane (ANS – PNS) extending to the posterior wall of the pharynx. Inferior: line passing from the anterosuperior edge of the fourth cervical vertebra (C4) to menton (Me). Anterior: line passing from soft palate to menton (Me). Posterior: posterior wall of pharynx. Lateral: respective pharyngeal walls.18

To standardize the measurements, the skull was oriented in all three planes according to the following lines: coronal plane (horizontal line through orbitale), sagittal plane (Frankfort horizontal), and axial plane (Crista galli to basion). The airway margins are illustrated in Figure 1 and were outlined on a sagittal slice representing the midsagittal plane. The margins were superior (palatal plane), inferior (line passing from the antero-superior edge of C4 to menton), anterior (line passing from the soft palate to menton), posterior (posterior wall of the pharynx), and lateral (respective pharyngeal walls). The process of airway segmentation was systematized as follows:

  • The “seed point” was defined as a virtual marker for the region of interest demarcation and was placed centrally in the airway region immediately posterior to the soft palate to facilitate automated segmentation of the airway based on gray-scale values.

  • The most appropriate threshold value for each patient was determined automatically by the software. The sagittal view was then enlarged as much as possible while ensuring visualization of all previously determined margins. The threshold was manually adjusted if necessary for each data set (operator-adjusted threshold) until the airway volume adequately depicted the airway–soft tissue interface. Coronal and transverse views were then evaluated to ensure the manually adjusted threshold value was correct and there was no extension of the airway segmentation into the soft tissues.

The MCA was calculated by setting the upper and lower limits within the previously defined margins, which included both anterior and posterior margins of the airway. This was to ensure that a partial section created by the difference in airway boundary for volume and the plane for area calculation was not used to determine MCA. The software automatically calculated the MCA (mm2) within the defined margins. Both measurements were carried out at the beginning (T0) and the end of active treatment (T1).

Assessment of Transverse Effects of RME

Maxillary and mandibular width at T0 and T1 was assessed for the RME group using posteroanterior cephalometric radiographs. These were generated automatically by the software at zero magnification with the scans in their previously standardized position and then compared with the matched control group to evaluate the skeletal treatment changes achieved with the RME appliance, according to the method described by Yoon et al.23 (Figure 2). The intermolar width was measured on the CBCT scans from the most palatal aspect of the upper first molars at the level of the cementoenamel junction, as described by Adkins et al.24 (Figure 2).

Figure 2.

Figure 2.

Illustrations of transverse skeletal and dental measurements. (A) posteroanterior cephalometric reference points (Mx: intersection of the lateral contour of the maxillary alveolar process and the lower contour of the maxillozygomatic process of the maxilla; Go: the most lateral point on the angle of the mandible) and lines (dotted) measuring the maxillary width (Mx-Mx) and mandibular width (Go-Go).23 (B) Intermolar width measurement from the most palatal aspects of the upper first molars at the level of the cementoenamel junction.24

Reliability

Twenty randomly selected patient measurements were repeated after 2 weeks to assess the method error and reliability of the upper airway measures, the transverse cephalometric measurements, and the mandibular inclination. No systematic error was found when tested by a t-test. The method error according to Dahlberg's formula25 ranged between 0.2% and 1.9%, and the reliability according to Houston26 was 1 for all measurements.

Statistical Analysis

Both the RME and control group data sets were normally distributed when tested by a Shapiro-Wilks test. The dentofacial and airway differences between the two groups at T0 were evaluated by a paired t-test. The intra- and intergroup changes in the dentofacial and airway measurements between T0 and T1 were evaluated separately using a linear mixed-effects model, which allowed for the longitudinal and nested structure of the data. The fixed effects part of the models included the dependent variable volume and MCA and independent variables group and time as well as their interaction. The random effects part of the model included the individual participants nested in pairs. A backward, stepwise regression model (P < .05) using bootstrap aggregation with replacement and 1000 repetitions determined whether any of the variables measured at T0 (Table 1) were effective markers for predicting the degree of change in airway volume and MCA. Statistical analysis was carried out using Stata version 15 (StataCorp LLC, College Station, Tex).

Table 1.

Changes Between T0 and T1 in the RME and Control Groups


T0
T1
P Value
95% Confidence Interval
Volume, mm3
 Control group 12216.05 15794.43 .006 13,258.24 to 18,330.62
 RME group 12873.73 17460.92 <.001 15,028.06 to 19,893.78
 RME effect +1008.81 .56 −2401.10 to 4418.73
MCA, mm2
 Control group 125.97 169.54 .020 131.89 to 207.18
 RME group 126.53 164.69 .018 132.97 to 196.40
 RME effect −5.41 .83 −56.02 to 45.19
Maxillary width, mm
 Control group 58.90 60.17 .004 59.31 to 61.03
 RME group 58.78 61.70 <.001 60.84 to 62.57
 RME effect +1.65 .005 0.50 to 2.80
Maxillary intermolar width, mm
 Control group 31.74 32.62 .001 32.28 to 33.75
 RME group 29.23 33.83 <.001 33.14 to 34.52
 RME effect +3.72 <.001 2.33 to 4.31
Mandibular width, mm
 Control group 86.18 89.49 <.001 88.61 to 90.38
 RME group 86.50 89.31 <.001 88.50 to 90.12
 RME effect -0.50 .41 −1.67 to 0.69

RESULTS

There were no significant differences in the skeletal and airway measurements between the RME and matched control group at T0. However, the maxillary intermolar width was significantly smaller in the RME group when compared with the matched control group (29.2 mm and 31.7 mm, respectively; P < .001).

Both groups showed a significant increase in the maxillary, mandibular, and molar widths as well as airway volume and MCA between T0 and T1 (Table 1). In the RME group, the increase in the maxillary and intermolar width was significantly greater compared with the controls (P = .05 and P < .001, respectively). No significant difference in the increase in the upper airway volume and MCA was found in the RME group when compared with the controls (Table 1).

Skeletal age was the only significant pretreatment marker for prediction of airway change during treatment. Patients with a younger skeletal age showed the greatest increase in airway volume and MCA (P = .01 and P = .02, respectively; Table 2).

Table 2.

Backward Stepwise Regression Evaluating the Effect of Pretreatment Markers on Airway Volume and MCA


P Value
Regression Coefficient
95% Confidence Interval
Volume, mm3
 Mandibular inclination .97 Removed from model
 Mandibular width .94 Removed from model
 Maxillary width .43 Removed from model
 Intermolar width .42 Removed from model
 Gender .10 Removed from model
 Age .07 Removed from model
 Skeletal age .01 −3204.66 −5657.78 to −751.60
MCA, mm2
 Mandibular inclination .98 Removed from model
 Mandibular width .95 Removed from model
 Maxillary width .71 Removed from model
 Inter-molar width .58 Removed from model
 Gender .08 Removed from model
 Age .06 Removed from model
 Skeletal age .02 −48.95 −89.68 to −8.22

DISCUSSION

The present study investigated the airway volume and MCA in children who had tooth-borne RME treatment followed by fixed appliances compared with a nonextraction fixed appliance control group, evaluated by standardized three-dimensional analysis of CBCT scans.18 Gender, age, skeletal age, and mandibular inclination were also controlled for, since these have previously been shown to be closely associated with upper airway dimensions.19,27,28

In the present study, both groups showed a significant increase in the dental and skeletal maxillary width, which was in agreement with previous studies.2931 There was also a significant increase in airway volume and MCA in both groups between T0 and T1, which was in disagreement with some previous studies29,32 but not others.30,33 The increase in airway volume and MCA over time in both groups was likely due to growth. A CBCT airway growth study of 1300 patients found that there was a consistent increase in upper airway volume from age 6–20 years.34

Despite the significant increase in the maxillary width in the RME group, no significant increase in the airway volume or MCA was found in the RME group when compared with the controls in this study. This was consistent with most previous studies, which have also found that, although RME significantly increased the volume of the nasal airway, there was no effect on the pharyngeal airway volume.29,30,32,35,36 However, one study did find that RME increased pharyngeal airway volume.37 There are conflicting findings from previous studies on the effects of RME on MCA, with some studies finding no effect33,35 and another finding a positive effect32; however, the latter study did not compare to a control group. Studies in which miniscrew-assisted RME was applied have also shown no significant effect on the pharyngeal airway dimensions38 despite having a considerable skeletal effect.39

An explanation as to why both tooth-borne and miniscrew-assisted RME had no effect on the pharyngeal airway may be the compensatory mechanism of the head posture due to obstruction of the nasal and/or the pharyngeal airway.40 In response to a reduced airway volume, there is an increase in the craniocervical angle in order to maintain an adequate airway volume.27 It is therefore possible that RME increases the airway volume and MCA; however, there is also a corresponding reduction in the compensatory head posture leading to no overall significant net gain in airway volume and MCA.

No association between mandibular inclination and change in airway volume or MCA was found, which was consistent with findings from another CBCT study.41 The fact that skeletal age, rather than chronological age, was found to be a predictive marker for the amount of airway change in the present study may be explained by the significant increase in the airway volume during the pubertal growth spurt.42 Growth studies have shown that skeletal age is more closely associated with the pubertal growth spurt than chronological age.43

CONCLUSIONS

  • Despite increasing intermolar and maxillary widths, the tooth-borne rapid maxillary expander is not associated with a significant change in upper pharyngeal airway volume or minimum cross-sectional area when used in children.

  • Skeletal age was found to be a predictive marker for airway changes.

  • The results may prove valuable, especially in understanding the broader effects of RME in young children.

ACKNOWLEDGMENTS

The authors wish to thank Dr Simon Freezer and Dr Paul Bucholtz for providing the data used in this study and Professor Adrian Esterman, Professor of Biostatistics, for statistical advice.

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