North Carolina Children's Hospital
Chapel Hill, North Carolina, 27514, United States
NCT Number: NCT01690078
The investigators hypothesize that a functional computational model that simulates the mechanical and aerodynamic behavior of the upper airway in children with Pierre Robin Sequence (PRS) and laryngeal lesions (e.g. subglottic stenosis or SGS) can be used as an effective diagnostic and treatment planning tool.
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Notify MeUp to 17 year
All sexes
Observational
Chapel Hill, North Carolina, 27514, United States
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
micrognathia (mandibular hypoplasia), cleft palate and airway obstruction, and/or
Diagnosis of SGS defined (Bluestone) as:
Inclusion criterion also included for Specific Aim 2 (Longitudinal):
Subjects must be scheduled for an operative procedure to correct or bypass upper airway obstruction (i.e. mandibular distraction, endoscopic airway surgery, laryngotracheoplasty, cricotracheal resection, or tracheostomy) OR recently (within past 4 weeks) diagnosed as having an anomaly not currently requiring surgical management.
Exclusion criteria
Control data will be collected from clinically indicated neck or maxillofacial CT imaging data that include the entire airway with no noted airway obstructions or airway abnormalities.
Time frame: years 1- 3
Change in functional computational modeling parameters as compared to the change in percent of total time spent with oxygen saturation < 90% as noted on polysomnogram (physiologic measure) and change in airway measurements obtained via clinically indicated upper airway endoscopy (anatomic measure) pre and post-intervention(medical or surgical)
Time frame: year 4
Apply the computational model to infants and children being evaluated for Pierre Robin Sequence and Subglottic Stenosis, to determine the ability of the model to accurately predict the results of various potential interventions on anatomic and physiologic metrics.
University of North Carolina, Chapel Hill
Other
Predictive Modeling for Treatment of Upper Airway Obstruction in Young Children
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