Personalized CT and airflow modeling to detect upper airway blockage in infants

Development of a Novel Diagnostic Modality for Upper Airway Obstruction via Integrating Dynamic Computed Tomography with Computational Fluid Dynamics

NIH-funded research Children's Mercy Hosp (Kansas City, Mo) · NIH-11166493

It creates personalized 3D CT scans combined with computer airflow models to better measure airway blockage in babies with Robin Sequence and similar conditions.

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionChildren's Mercy Hosp (Kansas City, Mo) NIH-funded
Lab location1 site (Kansas City, United States)
Project IDNIH-11166493 on NIH RePORTER

What this research studies

If my baby has breathing problems, this project would use fast, dynamic CT scans and computer airflow simulations to make a 3D map of their upper airway across the breathing cycle. The team will build patient-specific models to calculate how air moves and where resistance or collapse happens. They focus first on infants with Robin Sequence to create objective scores that could help doctors choose between positioning, breathing support, or surgery. The aim is to replace partly subjective decisions with clear, data-driven measures tied to each child's breathing.

Who could benefit from this research

Good fit: Infants and young children—especially newborns—with Robin Sequence or other congenital upper airway obstruction who are undergoing evaluation for breathing difficulty.

Not a fit: Adults with other causes of airway problems (such as typical adult obstructive sleep apnea) or patients unable to have CT imaging would likely not benefit from this work.

Why it matters

Potential benefit: Could provide objective, patient-specific measurements to help doctors choose safer, better-timed treatments and potentially avoid unnecessary surgery.

How similar studies have performed: Combining dynamic CT with computational fluid dynamics for infant airway care is relatively novel—CT and airflow modeling have been used separately, but this specific integrated approach is largely untested.

Where this research is happening

Kansas City, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Beckwith syndromeBeckwith-Wiedemann SyndromeBerry syndrome
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.