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Journal of Dentistry and Oral Care Medicine
ISSN: 2454-3276
The Relationship between Anterior Tubercle of the Atlas to the Adjacent Oropharyngeal Airway Volume: Implication of Normalized Variables and Gender Differences
Copyright: © 2016 Yamazaki Y. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Objectives: To examine a group of 38 Japanese males and females (group matched by age and body mass index) for changes of the anterior tubercle of atlas region and the posterior parapharyngeal wall with increasing age and body mass index.
Methods: Volumes were measured in Computerized Tomography scans with commercial software and compared between genders.
Results: There were statistically significant differences between genders in anterior tubercle height, volume (ATV) and posterior pharyngeal wall volume but once we adjusted these measurements for patient’s height, these differences were not found significant. In this study, the anterior tubercle volume (normalized by patient’s height) increased with age in both groups after adjusting for BMI. The posterior pharyngeal wall volume (normalized by patient’s height) decreased with age in males while it increased with BMI in females. Finally, the AP measurement of the cross-section of the airway at the most prominent point of the anterior tubercle decreased in females with an increase of ATV and ATV/height.
Conclusions: In this study there is evidence that enlargement of the anterior tubercle of the atlas occurs with age and the adjacent posterior pharyngeal wall volume increases in a statistically significant fashion with BMI though further research is necessary to prove if it is clinically relevant. An enlargement of the ATV was correlated with a decrease in AP dimension of the airway in females, which has been associated in prior studies with Obstructive Sleep Apnea.
Keywords: Anterior Tubercle of Atlas; Computerized Tomography; Oropharyngeal airway; Posterior pharyngeal walls
Vertebral degeneration includes narrowed intervertebral disc space, osteophyte formation, end-plate sclerosis and irregularity, and Schmorl’s node formation [1]. In the cervical region, osteophyte formations have been reported on two obstructive sleep apnea patients where a large altlas osteophyte appeared to be compromising the adjacent oropharnygeal airway space (Figure 1) [2]. Osteophytes of the cervical spine are usually seen in elderly adults and when they are particularly prominent, they have been blamed for inducing dysphagia, cough, dysphonia and dyspnea [3-6].
In 2009, Ando, et al. reported on an Obstructive Sleep Apnea (OSA) patient with cervical spinal osteophytes, which is regarded as one of the causes of airway obstruction. In this case report, the X-ray image revealed the presence of large osteophytes or sclerotic enthesopathy, lying on anterior surfaces from the fourth to seventh cervical vertebrae [7]. Furthermore, in the reconstructed three-dimensional image, the airway appeared displaced to the right of the cranio-mandibular bone, with the hyoid bone displaced in the same manner to that of the airway. The spine also appeared displaced to the left side of cranio-mandibular bone. From these findings, they suggested that the cervical spinal osteophytes are one potential cause of airway obstruction. In addition, there are several case reports which regard OSA patients with cervical spinal osteophytes, as one of the causes of airway obstruction [8,9].
In a previous study to investigate the potential link between OSA and the calcification of ligaments, the prevalence of the calcification of ligaments in OSA patients and the relationship between these findings, and OSA severity were examined [10]. They reported that there was a significant positive correlation between the severity of OSA and the calcification of the nuchal ligament, before and after, adjusting for BMI. The prevalence of the calcification of the nuchal ligament, in OSA subjects and snorers, was higher than in previous studies with non-OSA subjects. Consequently, they suggested that the severity of OSA correlates with the presence of calcification of the nuchal ligament.
The mechanism underlying osteophyte formation was examined by Kumaresan, et al. who performed the dynamic analysis of cervical spine using finite element modeling [11]. They found that the strain energy density and stress in vertebral cortex increased adjacent to the degenerated disc, especially the anterior region and speculated that over time this may induce osteophytes formation. Solow, et al. suggested that the increase in the diameters of airway, due to extension of the cranio-cervical angle and forward head posture, reflects a compensatory physiological postural mechanism to maintain airway adequacy in OSA patients [12]. In 2015, Shigenoto, et al. suggest that OSA patients have a tendency to change their head posture, to increase the airway width, which can influence cervical curvature [13]. The prevalence of the calcification of ligaments in OSA patients may be associated with the head position.
The atlas has the anterior tubercle for the attachment of the Longus colli muscles and the anterior longitudinal ligament, and is responsible for the nodding and rotation movements of the head. Therefore, in OSA patients with wide cervical angles, it is considered that the morphologic change may occur in the atlas. However, there was no report that focused specifically on the atlas.
In this paper, we examined 38 CT’s (19 males and 19 females group matched by body mass index and age) for differences regarding their anterior tubercle volume (ATV), the adjacent airway volume (the region anterior to the tubercle) or the anterior-posterior (AP) and lateral dimensions (LW) of the airway at the cross-sectional slice which corresponds to the most anterior point in a midline sagittal view of the anterior tubercle (shown in Figure 2). In a secondary analysis, we studied these data for the influence of age and body mass index (BMI) on the anterior tubercle of atlas region using linear regression analysis.
In this retrospective study, records for consecutive patients in need of a spiral CT at the Tsurumi university dental hospital were studied. Patients, who had spiral CT’s taken to further examine their maxillofacial and cervical structures as part of their diagnostic assessment, were selected to have an exact match on gender and frequency matching on age and BMI. The survey period was from June, 2005 to March, 2007.
The patients gave written consent to participate in this study approved by the Ethics Committee at Tsurumi university dental hospital.
The spiral CT imaging of the airway was performed using a Radix Prima (Hitachi Medical Co., Tokyo, Japan). The parameters used for the imaging were tube voltage = 120 kV; tube current = 75 mA; irradiation time = 1s; scan = volume scan; slice thickness = 1 mm; table speed = 1 mm/s. From the resulting data, the airway was extracted using image analysis software Amira 3.1 (Mercury Computer Systems / 3D Viz group, San Diego, CA) to reconstruct three-dimensional images and to measure the anterior tubercle of the atlas, posterior pharyngeal wall and the airway volumes as shown in Figure 3 Segmentation was performed automatically based on brightness values (see below).
Our area of interest was established using 21 sagittal slices with 10 slices on both sides of the mid-sagittal slice of the anterior tubercle (Figure 3B). We measured the ATV, the AT airway volume and the posterior pharyngeal wall volume between the superior and inferior edges of the anterior tubercle (Figure 3A). The ATV was calculated from the number of voxels that included the CT value range from 400 Hounsfield units (HU) to a maximum value (bone CT value: 1000) (the inside area (bone marrow) was filled). The AT airway volume was calculated from the number of voxels that included the CT value range from a patient-specific minimum value to -200 (air CT value: -1000). The posterior pharyngeal wall volume was calculated from the number of voxels that included the CT value range from -200 HU to a maximum value to include all soft tissues (muscle CT value: 30-60 HU, fat tissue CT value: -100) except the bone. The number of axial slices between the superior and inferior edges of the anterior tubercle in mid-sagittal view (defined as AT height) was different by individual. Each volume was normalized by the patient’s height to compensate for differences in height between patients. The most anterior point of the anterior tubercle in mid-sagittal view defined which horizontal slice was selected to measure the smallest AP and widest LW measurements of the airway (Figure 2).
Descriptive statistics in Table 1 and 2 correspond to means and one standard deviation of our variables. To compensate for the fact that in general males are larger than females, we normalized AT volume, AT airway volume and the parapharyngeal posterior wall volume by patient’s height. Variables normality was tested by the formal Kolmogorov-Smirnov test. Three anatomical variables did not pass the normality test (AT height, posterior wall volume and normalized posterior wall volume). We used the independent t-test two-tailed (alpha=0.05) to compare men and women’s anterior tubercle volume, airway volume, normalized volumes, AP, LW, and covariates (age, BMI). We compared men and women anterior tubercle height, posterior wall volume and normalized posterior wall with Mann-Whitney U-test. We used Pearson’s correlation test to study the relationship between our continuous normal variables and Spearman’s for the non-parametric. We investigated the linear relationships with linear regression and the model successfully satisfied the assumptions of normality, linearity and homoscedasticity of the residuals. Statistical analysis was carried out by SAS (SAS Institute Inc. Cary, NC, USA) with significance value of 0.05.
38 Japanese patients (male: 19, female: 19) who had spiral CT’s taken to further examine their maxillofacial and cervical structures as part of their diagnostic assessment were selected to have an exact match on gender, and frequency matching on age and BMI (independent t-test: age p= .658, BMI: p= .447). These patients were seeking treatment for one of several clinical problems including OSA (n=17; M=13; F=4), snoring (n=5; F=5), malocclusion (Anterior Open Bite) (n=6; M=3; F=3), temporomandibular disorders (n = 3, F=3 with Open Bite 1), osteoarthritis (n=2; F=2), minor jaw deformity (n=1 (M1) myofacial pain with limited opening (n=1; F=1), uncomfortable occlusion (n=1; F=1), enlarged torus (n=1; M=1) and possible mandibular fracture (n=1; M=1) at the Tsurumi university dental hospital. It should be noted that none of the patients in our study complained of dysphagia, however, the subset of 17 OSA patients in this group did have a polysomnogram and their mean AHI was 20.9±12.81 events/hour, and the 5 snorers had a polysomnogram to rule out OSA (mean AHI= 1.52±1.30). The other patients did not have polysomnograms and based on clinical interview, they did not exhibit hypersomonlence. The mean (plus one standard deviation) age, height and BMI for our subjects can be seen in Table 1. The age of men ranged from 26 to 80 years. The BMI of males ranged from 19.1 to 28.4 kg/m2. The age of the females ranged from 24 to 84 years. The BMI of the women ranged from 17.9 to 30.5 kg/m2.
Baseline descriptive statistics for age and BMI are given in Table 1. Independent t-test results are given in Table 2 comparing men and women’s ATV before and after normalizing by patient’s height, AT airway volume before and after normalization, and AP and LW of the AT airway. Also Mann-Whitney test results comparing median AT height, and posterior pharyngeal wall volume before and after normalization between male and females are presented in Table 2. This analysis revealed that AT height, ATV and posterior pharyngeal wall volume were found to have a statistically significant gender difference with the men consistently having a larger AT height, ATV and posterior pharyngeal wall volume than the women. However, we could not find a gender difference after normalizing for patient’s height. The widest airway lateral width was found to have a statistically significant gender difference with the women having a larger mean LW than the men.
Next we examined the correlation between our normalized variables (ATV/Height and PPWV/Height) with age and BMI (Table 3). In Table 3 what is evident is that ATV/Height increases with increasing age, in both groups, after adjusting for BMI and OSA status. PPWV/Height decreased with increasing age in males and increased with increasing BMI in females. And ATV/Height increased with increasing BMI in males after adjusting for age and OSA status.
Next we examined the correlation between the smallest anterior-posterior diameter and widest lateral width of the airway adjacent to the AT, with ATV and ATV/Height (Table 4). In males, lateral width increased with increasing ATV and ATV/Height (age, BMI and OSA adjusted). However, anterior-posterior diameter decreased with increasing ATV and ATV/Height in females (age, BMI and OSA adjusted).
Our final table examines if BMI and age were predictive of ATV/Height, and PPWV/Height. We conducted linear regressions on age, OSA and BMI (Table 5). In Table 5 what was evident is that age was significantly predictive of ATV/Height in both groups. ATV/Height increases with age in males and females with 44.6% and 49.8% of the variability of ATV/Height explained by this model, respectively. Furthermore, ATV/Height increased with increasing BMI in males (p=.028). In males, PPWV/Height decreases with age (p=.007) and increases with BMI (p=.003) with R2 = 63.4% (p=.001). In females, we found a significant linear relationship between PPWV/Height and adjusted BMI (p=.016) with this model explaining 35.1% of the variability of PPWV/Height (p=.082).
Normally, a comparison of the results presented in the paper to prior published results is made to determine if there is consistency or replication of findings (one of Hill’s causal criteria). Unfortunately, examining the literature does not produce a directly comparable study. The literature shows that BMI and age are risk factors for OSA and age has been associated with changes in the atlas’ height and volume, but increased atlas volume has not been directly examined as a risk factor for a narrowing oropharyngeal airway at the anterior tubercle of atlas region. The aim of our study was to examine the influence of age and BMI on the atlas area and to look for associations between AT height/volume and orpharyngeal airway dimensions.
In this study we found a significant difference in AT height and volume and posterior pharyngeal wall volume between men and women, but once we normalized by patient’s height, there were no significant differences (Table 2). We feel this adjustment is necessary since even though our subjects were group matched by BMI and age, men still are likely to have bigger vertebrae than women.
In this group of BMI- and age-matched Japanese females and males, we found an increase in normalized ATV with age in both genders (Table 5). This seems biologically plausible as osteophytes of the cervical spine are usually seen in elderly adults and when they are particularly prominent, they have been blamed for inducing dysphagia, cough, dysphonia and dyspnea [3-6]. In addition, normalized ATV increased with increasing BMI in males (Tables 3 and 5). In 1971, Julkunen, et al. investigated the relation between hyperostosis and obesity [14]. They performed the following anthropometric measuremens: standing height, weight, and triceps skinfold thickness. One hour after administration of glucose a sample of venous blood was taken to assess the glucose tolerance. X-ray examination of the chest was performed for assessment of the presence of hyperostotic spondylosis. They concluded that the analyses of correlations between glucose tolerance and obesity suggest that decreased glucose tolerance and obesity contribute, in part at least, to the development of hyperostotic spondylosis independently of each other. In our results, there was significant correlation between anterior tubercle volume and BMI. In males, the increasing anterior tubercle volume appears as an ossification on attached portion of ligaments or hyperostosis that is associated with obesity. However, we did find that the posterior pharyngeal wall volume decreases significantly with age in males (p=.007). In 2008, Shigeta, et al. examined the change of the length of the oropharynx airway and the upper oropharyngeal soft tissue volume with age and BMI [15]. They concluded that the upper oropharynx soft tissue significantly decreases with increasing age. However, in males, the lower oropharyngeal soft tissue volume significantly increases with increasing age. Our results correspond to this previous study. We also found in this study an increase of the posterior pharyngeal wall volume with BMI in both groups (Table 5), which is biologically plausible as many studies have found that a loss of weight is correlated with a decrease in the lateral pharyngeal adipose tissue volume [16] and in the volume of the lateral pharyngeal walls [17]. From the results of the previous and this current study, it is suggested that the upper oropharyngeal soft tissue is greatly influenced by age and BMI. Therefore, to reveal gender differences in the relationship between anterior tubercle of the atlas to the adjacent oropharyngeal airway volume, our subjects were matched for age and BMI in the male and female group.
Interestingly for females, the AP dimension of the airway decreases with an increase in AT volume and ATV/Height (after adjusting for age and BMI). This confirms what we have seen in a case report of extremely large osteophytes when the airway is compromised by the anterior tubercle volume. On the contrary, the lateral width was positively correlated in males with ATV and ATV/Height (after adjusting for age and BMI) (Table 4). We suggest that the anterior tubercle compresses the lateral walls so the lateral airway width increases, however we cannot prove this finding or compare to any prior result due to the novelty of this analysis.
In conclusion, we studied the differences in anterior tubercle of atlas volume (ATV), airway volume and posterior pharyngeal wall volume in males and females and found no significant differences for the patient’s height-adjusted data. The data suggests that with age there is an enlargement of ATV in both genders and a decrease in the posterior parapharyngeal wall volume only in males. An increase in BMI will increase the ATV in males and the posterior parapharyngeal wall volume in females. An increase in the ATV (with age for instance) will reduce the anterior-posterior dimension of the airway at C1 (anterior atlas) level, which has been associated with OSA.
Dr. Enciso was partially supported by NIDCR grant #5 K25 DE016391. No conflicts of interest.
Dr. Ogawa was partially supported by “High-Tech Research Center” Project for Private Universities and grant # 18390501: matching fund subsidy from MEXT (Ministry of Education, Culture, Sports, Science and Technology). No conflicts of interest.
The patients gave written consent to participate in this study approved by the Ethics Committee at Tsurumi university dental hospital.
Figure 1: Two patients with large anterior atlas (C-1 or cervical 1) tubercles which either impinge on the airway (A and B represent two slightly different viewpoints of the upper airway region of patient 1), or divided it in two (C represents a view from the top and D a frontal view of the upper airway region) [2] |
Figure 2: A: Localization of the most protrusive point of the anterior tubercle on the sagittal plane (midline) B: Measurement of anterior-posterior diameter (AP) and lateral width (LW) of the airway on axial plane defined as in A |
Figure 3: A. Region of interest is defined in a mid-sagittal view between superior and inferior edge of the anterior tubercle of the atlas. Then, the anterior tubercle volume (ATV), anterior tubercle airway volume and posterior pharyngeal wall volume were calculated B. Lateral dimension of the AT region is arbitrarily defined as equal to 21 slices for every patient centered at mid-sagittal |
Variable |
Men (n = 19) |
Women (n = 19) |
Independent t-test |
---|---|---|---|
Age (years) |
53.5 ± 16.12 |
51.1 ± 17.29 |
0.658 |
BMI (kg/m2) |
22.6 ± 2.38 |
21.9 ± 3.67 |
0.447 |
Height (mm) |
1676.3 ± 52.62 |
1560.2 ± 60.42 |
<.0001 |
Table 1: Baseline comparison for men and women |
Variable |
Men (n = 19) |
Women (n = 19) |
p value |
---|---|---|---|
Anterior tubercle height (mm) |
11.95 ± 1.54 |
10.6 ± 1.71 |
0.016 ‡ |
Anterior tubercle volume (ATV; mm3) |
621.1 ± 99.58 |
523.4 ± 155.91 |
0.027 |
Anterior tubercle airway volume (ATAV; mm3) |
1166.9 ± 383.81 |
1080.8 ± 219.39 |
0.403 |
Posterior airway wall volume (PPWV; mm3) |
532.6 ± 199.95 |
396.6 ± 186.65 |
0.018 ‡ |
ATV / height (mm2) |
0.37 ± 0.58 |
0.34 ± 0.11 |
0.242 |
ATAV / height (mm2) |
0.70 ± 0.23 |
0.69 ± 0.15 |
0.994 |
PPWV/ height (mm2) |
0.32 ± 0.12 |
0.26 ± 0.13 |
0.075 ‡ |
Airway anterior-posterior diameter (mm) (AP) † |
9.1 ± 3.11 |
9.6 ±3.16 |
0.652 |
Widest airway lateral width (mm) (LW) † |
20.5 ± 5.28 |
25.6 ± 7.02 |
0.015 |
‡ Mann-Whitney U-test due to non-normality of data |
Dependent variable
|
Age (unadjusted) r score (p value) |
Age (BMI & OSA adjusted) r score (p value) |
BMI (unadjusted) r score (p value) |
BMI (Age & OSA adjusted) r score (p value) |
---|---|---|---|---|
Males only (n=19) |
||||
ATV / height (mm2) † |
0.438 (p = .061) |
0.588 (p = .013) |
0.384 (p = .104) |
0.532 (p = .028) |
Posterior pharyngeal wall / height (mm2) ‡ |
-0.625 (p = .004) |
-0.691 (p = .002) |
0.311 (p = .196) |
0.416 (p = .096) |
Females only (n=19) |
||||
ATV / height (mm2) † |
0.687 (p = .001) |
0.571 (p = .017) |
0.196 (p = .422) |
-0.226 (p = .383) |
Posterior pharyngeal wall / height (mm2) ‡ |
0.020 (p = .935) |
-0.302 (p = .238) |
0.612 (p = .005) |
0.700 (p = .002) |
† r score is the Pearson’s correlation coefficient or partial correlation |
Dependent variable
|
Age (unadjusted) r score † (p value) |
Age (BMI & OSA adjusted) r score ‡ (p value) |
BMI (unadjusted) r score † (p value) |
BMI (Age & OSA adjusted) r score ‡ (p value) |
---|---|---|---|---|
Males only (n=19) |
||||
AP (mm) |
0.213 (p = .382) |
0.324 (p = .221) |
0.238 (p = .326) |
0.391 (p = .135) |
LW (mm) |
0.502 (p = .028) |
0.632 (p = .009) |
0.443 (p = .058) |
0.615 (p = .011) |
Females only (n=19) |
||||
AP (mm) |
-0.567 (p= .011) |
-0.607 (p = .013) |
-0.529 (p = .020) |
-0.584 (p = .018) |
LW (mm) |
-0.327 (p = .171) |
-0.183 (p = .498) |
-0.352 (p = .140) |
-0.198 (p = .463) |
† r score is the Pearson’s correlation coefficient |
Dependent variable
|
Change in dependent variable by year of age increase (p value) |
Change in dependent variable by unit of BMI increase (p value) |
Change in dependent variable if OSA=1 (p value) |
R-square (p-value of ANOVA F-test) |
---|---|---|---|---|
Males only (n=19) |
||||
ATV / height (mm2) |
0.002 (p = .013) |
0.012 (p = .028) |
-0.045 (p = .121) |
44.6% (p = .028) |
PPWV/ height (mm2) |
-0.004 (p = .007) |
0.028 (p = .003) |
0.040 (p = .388) |
63.4% (p = .001) |
Females only (n=19) |
||||
ATV / height (mm2) |
0.004 (p = .017) |
-0.006 (p = .383) |
0.023 (p = .748) |
49.8% (p = .014) |
PPWV/ height (mm2) |
0.0007 (p = .742) |
0.023 (p = .016) |
-0.111 (p = .258) |
35.1% (p = .082) |
Table 5: Linear regression models to predict anterior tubercle volume/height, ATAV/height and PPWV/height per unit of age and BMI increase. |