129Xe MRI Ventilation Defects in Asthma: What is the Upper Limit of Normal and Minimal Clinically Important

Marrissa J McIntosh1, Alexander Biancaniello1, Harkiran K Kooner1

  • 1Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada.

Academic Radiology
|April 9, 2023
PubMed
Abstract

Insights

This study determined the minimal clinically important difference (MCID) and upper limit of normal (ULN) for 129Xe MRI VDP in healthy and asthma patients. These values aid in interpreting 129Xe MRI VDP measurements for clinical investigations.

Area of Science:

  • Pulmonary Medicine
  • Medical Imaging
  • Respiratory Physiology

Background:

  • Previous studies established MCID and ULN for 3He MRI VDP.
  • 129Xe MRI VDP offers higher sensitivity to airway dysfunction compared to 3He MRI.
  • Establishing normative data for 129Xe MRI VDP is crucial for clinical application.

Purpose of the Study:

  • To determine the upper limit of normal (ULN) for 129Xe MRI VDP in healthy individuals.
  • To determine the minimal clinically important difference (MCID) for 129Xe MRI VDP in participants with asthma.
  • To provide interpretative benchmarks for 129Xe MRI VDP in clinical settings.

Main Methods:

  • Retrospective evaluation of healthy and asthma participants undergoing spirometry and 129Xe MRI.
  • MCID estimation using distribution-based (SDD) and anchor-based (ACQ-7) methods.
  • ULN estimation based on the 95% confidence interval of VDP in relation to age.

Main Results:

  • Mean VDP was 1.6% in healthy and 13.7% in asthma participants.
  • Anchor-based MCID was 1.75%, distribution-based MCID was 2.25%.
  • ULN for healthy participants was 2.0% overall, with age-specific values (1.3% to 3.8%).

Conclusions:

  • The study successfully estimated MCID for 129Xe MRI VDP in asthma patients.
  • ULN for 129Xe MRI VDP was established for healthy individuals across different age groups.
  • These findings provide essential reference values for interpreting 129Xe MRI VDP in clinical research and practice.