The purpose of this study is to use computers to simulate airflow in 3D construction of your nasal cavity generated from cone beam CT images. The results from computer simulations will help researchers identify the severity of cleft-induced nasal dysfunction and assess the impact of current treatment in restoring breathing function. The ultimate goal is to improve post-surgery outcomes to restore nasal breathing function to normal levels.
Study Type
OBSERVATIONAL
Enrollment
12
Patient reported quality of life questionnaires
Duke University Medical Center and affiliated practices
Durham, North Carolina, United States
Validation of computational fluid dynamics simulation with breathing measurement
Percent agreement between computational fluid dynamics simulated nasal resistance and nasal resistance from rhinomanometry breathing measurement
Time frame: 6 months
Validation of computational fluid dynamics simulation with in vitro experiment
Percent agreement between computational fluid dynamics simulated nasal resistance and nasal resistance measurement from in vitro experiment of 3D printed plastic nasal replica
Time frame: 6 months
Effectiveness of current surgery in restoring nasal function based on volumetric airflow
Analysis of significant difference in volumetric airflow rate between pre-surgery and post-surgery data from computational fluid dynamics simulations of patient-specific 3D nasal models generated from cone-beam computed tomography images.
Time frame: 6 months
Effectiveness of current surgery in restoring nasal function based on nasal resistance
Analysis of significant difference in nasal resistance between pre-surgery and post-surgery data from computational fluid dynamics simulations of patient-specific 3D nasal models generated from cone-beam computed tomography images
Time frame: 6 months
Effectiveness of current surgery in restoring nasal function based on nasal heat flux
Analysis of significant difference in nasal heat flux between pre-surgery and post-surgery data from computational fluid dynamics simulations of patient-specific 3D nasal models generated from cone-beam computed tomography images.
Time frame: 6 months
Effectiveness of current surgery in restoring nasal function based on nasal moisture flux
Analysis of significant difference in nasal moisture flux between pre-surgery and post-surgery data from computational fluid dynamics simulations of patient-specific 3D nasal models generated from cone-beam computed tomography images.
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Time frame: 6 months
Anatomical sites of greatest nasal obstruction
Analysis on agreement of computational fluid dynamics identified anatomical sites of greatest nasal obstruction from pre-surgery 3D nasal models and actual surgical anatomical sites. CFD identified sites of greatest nasal obstruction are regions in the airway with highest nasal resistance.
Time frame: 6 months
Computational fluid dynamics based optimized treatment options for unilateral cleft lip nasal deformity patients based on volumetric airflow
Creation of virtual surgery nasal airway models based on computational fluid dynamics identified anatomical sites of greatest nasal obstruction. Computational fluid dynamics generated unilateral left and right side percent asymmetric will be computed used to identify the top three virtual surgery nasal airway models with best treatment potentials for unilateral cleft lip nasal deformity patients
Time frame: 6 months
Computational fluid dynamics based optimized treatment options for unilateral cleft lip nasal deformity patients based on nasal resistance
Creation of virtual surgery nasal airway models based on computational fluid dynamics identified anatomical sites of greatest nasal obstruction. Computed nasal resistance will be used to identify the top three virtual surgery nasal airway models with best treatment potentials for unilateral cleft lip nasal deformity patients
Time frame: 6 months
Computational fluid dynamics based optimized treatment options for unilateral cleft lip nasal deformity patients based on nasal heat flux
Creation of virtual surgery nasal airway models based on computational fluid dynamics identified anatomical sites of greatest nasal obstruction. Computed nasal moisture flux will be used to identify the top three virtual surgery nasal airway models with best treatment potentials for unilateral cleft lip nasal deformity patients
Time frame: 6 months
Change in patient-reported outcome (PRO) measures
Change PRO measures as measured by NOSE questionnaire
Time frame: baseline, 2 weeks, 8 weeks, 6 months, 12 months
Change in patient-reported outcome (PRO) measures
Change PRO measures as measured by SCHNOS questionnaire
Time frame: baseline, 2 weeks, 8 weeks, 6 months, 12 months
Change in patient-reported outcome (PRO) measures
Change PRO measures as measured by CLEFT-Q questionnaire
Time frame: baseline, 2 weeks, 8 weeks, 6 months, 12 months
in vitro analysis for top three virtual surgery nasal models with best treatment based on nasal pressure
in vitro analysis from 3D printed plastic nasal replica of top three virtual surgery nasal models with best treatment potential will be done using unilateral airflow pressure.
Time frame: 6 months
in vitro analysis for top three virtual surgery nasal models with best treatment based on unilateral volumetric airflow
in vitro analysis from 3D printed plastic nasal replica of top three virtual surgery nasal models with best treatment potential will be done using unilateral volumetric airflow rate.
Time frame: 6 months