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Three-Dimensional Imaging-Based Web Application for Predicting Tracheal Tube Depth in Preterm Neonates.

Raksa Tupprasoot1, Dean Langan, J Ciaran Hutchinson

  • 1Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.

Neonatology
|February 1, 2017
PubMed
Summary
This summary is machine-generated.

Accurate tracheal tube placement in preterm infants is difficult. A new prediction tool using gestational age and body weight, developed from post-mortem MRI data, aids in determining correct tracheal tube depth.

Keywords:
AirwayFoetusPost-mortem magnetic resonance imagingTrachea

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Area of Science:

  • Neonatal medicine
  • Medical imaging
  • Pediatric airway management

Background:

  • Accurate tracheal tube (TT) placement in preterm infants is challenging.
  • No reliable single-predictor model exists for neonates across all sizes and ages.
  • Current methods lack precision for optimal airway management.

Purpose of the Study:

  • To measure tracheal dimensions in preterm infants using post-mortem MRI.
  • To develop a clinical guide for accurate TT positioning.
  • To create a predictive tool for TT insertion depth.

Main Methods:

  • Post-mortem magnetic resonance imaging (PMMRI) was used to measure tracheal length (TL) and diameter (TD).
  • Measurements included mid-tracheal length (mid-TL) and TD in 117 neonates and fetuses.
  • Prediction models for mid-TL were developed using gestational age (GA), foot length (FL), crown-rump length (CRL), and body weight (BW).

Main Results:

  • The strongest univariate predictor for mid-TL was foot length (mid-TL = FL × 0.914 + 1.859; R2 = 0.94).
  • Multivariate regression models improved prediction accuracy.
  • A prediction tool using GA and BW (R2 = 0.92) and another using all four predictors (R2 = 0.94) were developed and are available online.

Conclusions:

  • Post-mortem imaging data provide reliable estimates for TT insertion depth.
  • A bedside-applicable prediction tool based on GA and BW has been developed.
  • The tool is ready for clinical testing to improve neonatal airway management.