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Imaging lung function in mice using SPECT/CT and per-voxel analysis.

Brian N Jobse1, Rod G Rhem, Cory A J R McCurry

  • 1Department of Medicine, Division of Respirology, McMaster University, Hamilton, Ontario, Canada.

Plos One
|August 8, 2012
PubMed
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This study shows that ventilation/perfusion (V/Q) SPECT imaging can non-invasively measure lung function in mice. Older mice exhibit increased V/Q mismatching, indicating age-related lung changes.

Area of Science:

  • Pulmonary Medicine
  • Medical Imaging
  • Gerontology

Background:

  • Chronic lung disease poses a global health challenge, necessitating advanced diagnostic tools.
  • Current methods for assessing regional lung function are limited.
  • Ventilation/perfusion (V/Q) single photon emission computed tomography (SPECT) offers a non-invasive approach to evaluate lung pathologies.

Purpose of the Study:

  • To adapt and apply a clinically relevant V/Q SPECT methodology in mice.
  • To establish baseline V/Q parameters in healthy young mice.
  • To investigate the impact of aging on V/Q relationships and lung function.

Main Methods:

  • Utilized a clinically adapted V/Q SPECT protocol in 12-week-old and 36-week-old healthy mice.
  • Administered Technegas™ for ventilation and (99m)Tc-macroaggregated albumin for perfusion tracing.

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  • Acquired, co-registered, and quantitatively analyzed SPECT and CT images on a per-voxel basis.

    • Main Results:

    • A moderate correlation between ventilation and perfusion (R=0.58±0.03) was observed in young mice.
    • Young mice showed a mean log(V/Q) ratio of -0.07±0.01, indicating good V/Q matching.
    • Older mice (36 weeks) demonstrated significantly increased peripheral V/Q mismatching compared to younger mice.

    Conclusions:

    • V/Q SPECT per-voxel analysis provides a reliable method for quantifying lung function in mice.
    • Age significantly influences V/Q matching, with older mice exhibiting greater lung function heterogeneity.
    • This technique is valuable for studying chronic lung disease models and evaluating therapeutic interventions.