Virtual Growing Child (VGC): A general normative comparative system via quantitative dynamic MRI for quantifying

Insights

A new database quantifies regional respiratory function in healthy children, revealing sex-based differences during adolescence. This system aids in assessing respiratory conditions and treatment effectiveness in pediatric patients.

Area of Science:

  • * Pulmonary imaging and quantitative analysis
  • * Pediatric respiratory physiology
  • * Biomedical informatics

Background:

  • * Lack of a normative database for regional respiratory structure and function in healthy children.
  • * Need for objective measures to assess respiratory abnormalities in pediatric patients.

Approach:

  • * Development of the Ventilation-Perfusion (VGC) database with 3,820 3D segmentations.
  • * Analysis of morphological, architectural, dynamic, and developmental respiratory parameters.
  • * Comparison of healthy children across age and gender groups using two-sided t-testing and Mahalanobis distance.

Key Points:

  • * Identified sex-based physiological differences in lung and diaphragm tidal volumes during adolescence (10-12 years).
  • * Demonstrated significant improvement in left-sided respiratory function (diaphragm height, tidal volume) post-surgery in Tracheoesophageal Fistula with Esophageal Atresia (TIS) patients.
  • * Showed reduced Mahalanobis distance for TIS patients post-surgery, indicating closer proximity to normative values.

Conclusions:

  • * The VGC system establishes a reference standard for quantifying regional respiratory abnormalities in pediatric patients.
  • * Facilitates treatment planning and assessment of treatment response for various pediatric respiratory conditions using diffusion MRI (dMRI).
Abstract

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