Dynamic Airway CT is Diagnostic for Tracheomalacia in Children

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age0-18
SponsorNYU Langone Health

About this trial

The purpose of this pilot interventional study is to evaluate the use of Dynamic Airway Computed Tomography (DA-CT) for diagnosis of tracheomalacia in children 0-18 years for whom flexible bronchoscopy has been performed. The primary aims are to evaluate the diagnostic accuracy, image quality, and radiation exposure of DA-CT as a potential noninvasive alternative to the gold standard of flexible bronchoscopy in the diagnosis of tracheomalacia. The results from this pilot study will help to estimate sample size for a larger-scale study with more precise estimates of DA-CT diagnostic potential.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Participants 0-18 years old, with

Clinically indicated flexible bronchoscopy has been performed

Disqualifiers

Pregnancy or breastfeeding

Unable to undergo CT scanning without sedation

Patients with tracheostomy

Trial design

Design model

Single group

Treatments tested in this trial

  • Dynamic Airway CT scan (DA-CT)

    Device

    Patient will be asked to perform movements during the scan.

Treatment groups

25 Participants
are divided into 1 treatment group
Group A: Dynamic Airway CT scan (DA-CT)Experimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

Severity of dynamic narrowing on Flexible Bronchoscopy

Video recordings and images will be deidentified and reviewed by pediatric pulmonologists and scores averaged. Severity of dynamic narrowing will be classified as follows: mild: 50%-74%, moderate: 75%-89%, severe: \>90%.

Time frame
Through study completion, an average of 1 year
2

Severity of Maximal Airway Change (MAC) on DA-CT

Severity of MAC will be classified as follows: mild: 33%-49%, moderate: 50%-66%, severe: \>67%. This outcome will be measured using the following equation: MAC = tracheal cross-sectional (CSA) at narrowed segment in inspiration/CSA of trachea at thoracic inlet in inspiration

Time frame
Through study completion, an average of 1 year
3

Severity of Excessive dynamic airway collapse (EDAC) on DA-CT

Severity of EDAC will be classified as follows: mild: 50%-74%, moderate: 75%-89%, severe: \>90%. This outcome will be measured using the following equation: EDAC = CSA at airway segment in expiration/CSA at same location in inspiration

Time frame
Through study completion, an average of 1 year

Secondary outcomes

1

Contrast-to-noise-ratio (CNR) of DA-CT scanners

This outcome will be measured using the following equation: CNR = (mean Hounsfield Units (HU) in the artery regions of interest (ROI) - mean HU in the tracheal air column ROI) / image noise inside the trachea.

Time frame
Through study completion, an average of 1 year
2

Qualitative Analysis of DA-CT Image Quality based on 5-point Likert scale

5-point Likert scale will be used as follows: (1) Very Poor, (2) Poor, (3) Fair, (4) Good, (5) Excellent

Time frame
Through study completion, an average of 1 year
3

Qualitative Analysis of DA-CT image noise based on 5-point Likert scale

5-point Likert scale will be used as follows: (1) Very Poor, (2) Poor, (3) Fair, (4) Good, (5) Excellent

Time frame
Through study completion, an average of 1 year
4

Qualitative Analysis of DA-CT delineation of large airways based on 5-point Likert scale

5-point Likert scale will be used as follows: (1) Very Poor, (2) Poor, (3) Fair, (4) Good, (5) Excellent

Time frame
Through study completion, an average of 1 year

Other outcomes

Sponsors and contacts

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