3D Airway Model for Pediatric Patients

August 9, 2024 updated by: Kim Hee Young, Pusan National University Yangsan Hospital

Prediction of Endotracheal Tube Size Using a Printed Three-dimensional Airway Model in Pediatric Patients With Congenital Heart Disease: a Prospective, Single-center, Single- Group Study

To determine the correct size of endotracheal tubes (ETT) for endotracheal intubation of pediatric patients is no menial task. Although new methods have been investigated to determine ETT size, and the three-dimensional (3D) printing technology has been successful in the field of surgery, there are not many studies in the field of anesthesia. The purpose of this study is to evaluate the accuracy of a 3D airway model for prediction of the correct ETT size, and compare the results with a conventional age-based formula in pediatric patients.

Study Overview

Detailed Description

To determine the correct size of endotracheal tubes (ETT) for endotracheal intubation of pediatric patients is no menial task. Although new methods have been investigated to determine ETT size, and the three-dimensional (3D) printing technology has been successful in the field of surgery, there are not many studies in the field of anesthesia. The purpose of this study is to evaluate the accuracy of a 3D airway model for prediction of the correct ETT size, and compare the results with a conventional age-based formula in pediatric patients. : Thirty five pediatric patients under 6 years of age who were scheduled for congenital heart surgery. In the pre-anaesthetic period, the patient's computed tomography (CT) images were converted to STL files using the 3D conversion program. An FDM type 3D printer was used to print 3D airway models from the sub-glottis to the upper carina. ETT size was selected by inserting various sized cuffed-ETTs to a printed 3D airway model.

Study Type

Observational

Enrollment (Actual)

35

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Yangsan, Korea, Republic of
        • Pusan National University Yangsan Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

No older than 5 years (Child)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

We enrolled children under 6 years of age (range 4 days to 61 months) scheduled for surgery for congenital heart disease with chest computed tomography (CT) images including upper airways from September 3, 2019, to March, 16, 2020. Pediatric patients with congenital heart disease were chosen because they usually keep their ETT with mechanical ventilation in the intensive care unit and also have relatively high risk of complication associated with ETT comparing to healthy patients. Therefore, we think it is more important to select appropriate size of ETT in pediatric patients with congenital heart disease.

Description

Inclusion Criteria:

  • children under 6 years of age (range 4 days to 61 months) scheduled for surgery for congenital heart disease with chest computed tomography (CT) images including upper airways

Exclusion Criteria:

  • pediatric patients with intubation or tracheostomy before general anesthesia due to underlying disease
  • small sized airway with inner diameter <3.0 mm because of pre-term or low birth weight
  • unstable vital signs during induction
  • history of difficult intubation
  • emergency surgery where printing a 3D airway model in advance was not possible

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
ETT size prediction by the printed 3D airway model
Time Frame: during anesthesia induction
The reliability of ETT size prediction by the printed 3D airway model was compared with the results of the age-based formula.
during anesthesia induction

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Hee Young Kim, Department of Anesthesia and Pain Medicine, School of Medicine, Pusan National University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 3, 2019

Primary Completion (Actual)

March 16, 2020

Study Completion (Actual)

March 16, 2020

Study Registration Dates

First Submitted

March 22, 2021

First Submitted That Met QC Criteria

March 22, 2021

First Posted (Actual)

March 24, 2021

Study Record Updates

Last Update Posted (Actual)

August 12, 2024

Last Update Submitted That Met QC Criteria

August 9, 2024

Last Verified

August 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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