These results confirm the findings of previous studies of the effect of rapid maxillary expansion on the maxilla. Additionally, we found that only the cross-sectional area of the upper airway at the posterior nasal spine to basion level significantly gains a moderate increase after rapid maxillary expansion.
Objectives.
(1) Analyze the relationship between intranasal airflow distribution
and subjective nasal patency in healthy and nasal airway obstruction (NAO)
cohorts using computational fluid dynamics (CFD). (2) Determine whether
intranasal airflow distribution is an important objective measure of airflow
sensation that should be considered in future NAO virtual surgery
planning.
Study Design.
Cross sectional.
Setting.
Academic tertiary medical center and academic dental clinic.
Subjects and Methods.
Three-dimensional models of nasal anatomy were created based on
computed tomography scans of 15 NAO patients and 15 healthy subjects and
used to run CFD simulations of nasal airflow and mucosal cooling. Subjective
nasal patency was quantified with a visual analog scale (VAS) and the Nasal
Obstruction Symptom Evaluation (NOSE). Regional distribution of nasal
airflow (inferior, middle, and superior) was quantified in coronal
cross-sections in the narrowest nasal cavity. The Pearson correlation
coefficient was used to quantify the correlation between subjective scores
and regional airflows.
Results.
Healthy subjects had significantly higher middle airflow than NAO
patients. Subjective nasal patency had no correlation with inferior and
superior airflows, but a high correlation with middle airflow (|r|=0.64 and
|r|=0.76 for VAS and NOSE, respectively). Anterior septal deviations tended
to shift airflow inferiorly, reducing middle airflow and reducing mucosal
cooling in some NAO patients.
Conclusion.
Reduced middle airflow correlates with the sensation of nasal
obstruction, possibly due to a reduction in mucosal cooling in this region.
Further research is needed to elucidate the role of intranasal airflow
distribution in the sensation of nasal airflow.
Purpose: Virtual surgery planning based on computational fluid dynamics (CFD) simulations of nasal airflow has the potential to improve surgical outcomes for patients with nasal airway obstruction (NAO). Virtual surgery planning requires normative ranges of airflow variables, but few studies to date have quantified inter-individual variability of nasal airflow among healthy subjects. This study reports CFD simulations of nasal airflow in 47 healthy adults.Methods: Anatomically-accurate 3-dimensional nasal models were reconstructed from cone beam computed tomography (CBCT) scans and used for steady-state inspiratory airflow
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Summary
The objective of this blinded study was to validate the use of cone beam computed tomography (CT) for imaging of the canine maxillary dentoalveolar structures by comparing its diagnostic image quality with that of 64-multidetector row CT. Sagittal slices of a tooth-bearing segment of the maxilla of a commercially purchased dog skull embedded in methyl methacrylate were obtained along a line parallel with the dental arch using a commercial histology diamond saw. The slice of tooth-bearing bone that best depicted the dentoalveolar structures was chosen and photographed. The maxilla segment was imaged with cone beam CT and 64-multidetector row CT. Four blinded evaluators compared the cone beam CT and 64-multidetector row CT images and image quality was scored as it related to the anatomy of dentoalveolar structures. Trabecular bone, enamel, dentin, pulp cavity, periodontal ligament space, and lamina dura were scored. In addition, a score depicting the evaluators overall impression of the image was recorded. Images acquired with cone beam CT were found to be significantly superior in image quality to images acquired with 64-multidetector row CT overall, and in all scored categories. In our study setting, cone beam CT was found to be a valid and clinically superior imaging modality for the canine maxillary dentoalveolar structures when compared to 64-multidetector row CT.
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