Creating a new way to diagnose upper airway obstruction using advanced imaging techniques.
Development of a Novel Diagnostic Modality for Upper Airway Obstruction via Integrating Dynamic Computed Tomography with Computational Fluid Dynamics
This study is working on a new way to better diagnose breathing problems caused by upper airway obstruction, especially for people with Robin Sequence, by using advanced imaging techniques to see how their airways change while they breathe.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Children's Mercy Hosp (Kansas City, Mo) NIH-funded |
| Lab location | 1 site (Kansas City, United States) |
| Project ID | NIH-10887792 on NIH RePORTER |
What this research studies
This research aims to improve the diagnosis of upper airway obstruction (UAO) by developing a novel diagnostic method that combines dynamic computed tomography with computational fluid dynamics. The approach focuses on creating patient-specific metrics that quantify the severity of UAO, particularly in patients with Robin Sequence, a condition that can lead to serious breathing difficulties. By capturing the dynamic changes in the upper airway during the respiratory cycle, this research seeks to provide more accurate and timely information for clinical decision-making. The goal is to enhance the understanding of airway dynamics and improve treatment strategies for affected patients.
Who could benefit from this research
Good fit: Ideal candidates for this research include infants and children diagnosed with Robin Sequence or other conditions leading to upper airway obstruction.
Not a fit: Patients with upper airway obstruction not related to anatomical or dynamic issues may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and better treatment options for patients with upper airway obstruction.
How similar studies have performed: While the integration of dynamic imaging and computational modeling is a novel approach, similar methodologies have shown promise in other areas of respiratory diagnostics.
Where this research is happening
Kansas City, United States
- Children's Mercy Hosp (Kansas City, Mo) — Kansas City, United States (Active)
Researchers
- Principal investigator: Dahl, John Patrick — Children's Mercy Hosp (Kansas City, Mo)
- Study coordinator: Dahl, John Patrick
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.