3D imaging and airflow analysis to improve diagnosis of infant subglottic stenosis

Computer-Vision and Computational Fluid Dynamics Analysis Pipeline to Improve Diagnosis in Pediatric Subglottic Stenosis

NIH-funded research Seattle Children's Hospital · NIH-11173890

This project combines 3D airway models and airflow simulations to create clearer, personalized pictures of airway narrowing for infants with subglottic stenosis.

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionSeattle Children's Hospital NIH-funded
Lab location1 site (Seattle, United States)
Project IDNIH-11173890 on NIH RePORTER

What this research studies

From a patient's perspective, the team will use clinical imaging and endoscopy to build 3D reconstructions of a child's airway and apply computer-vision tools to measure obstruction size and location automatically. They will run computational fluid dynamics (airflow) simulations on those models to estimate breathing resistance and how the narrowing affects respiratory effort. The project may produce 3D-printed airway models to help surgeons visualize the problem and plan treatment. The goal is to move beyond the rough Cotton-Meyer grading to give doctors quantitative information that can guide better treatment decisions.

Who could benefit from this research

Good fit: Infants and young children with suspected or confirmed subglottic stenosis who have available endoscopy or cross-sectional imaging data are the most suitable candidates.

Not a fit: Children without relevant imaging or endoscopy data, those with different airway conditions, or patients whose care cannot incorporate imaging-based planning may not directly benefit.

Why it matters

Potential benefit: If successful, this could give families clearer, quantitative diagnoses and help doctors choose less invasive and more effective treatments earlier.

How similar studies have performed: Related 3D modeling and airflow simulation approaches have shown promise in adult airway and surgical planning, but applying automated computer vision and CFD specifically to pediatric subglottic stenosis is largely novel.

Where this research is happening

Seattle, 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 Airway Disease
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.