Wei Zha1, Jeffery N Kammerman1, David G Mummy2, Alfonso Rodriguez1, Robert V Cadman1, Scott K Nagle1,3,4, Ronald L Sorkness4,5,6, and Sean B Fain1,2,3
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 3Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 4Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, United States, 5Medicine-Allergy, Pulmonary & Critical Care, University of Wisconsin-Madison, Madison, WI, United States, 6Pharmacy, University of Wisconsin-Madison, Madison, WI, United States
Synopsis
Seven cystic fibrosis (CF) and 69
asthma subjects with different severities of disease underwent hyperpolarized
helium-3 MRI and multidetector computed tomography (MDCT). Lobar segmentation
was performed on proton MRI by referencing corresponding MDCT. The lobar
ventilation defect percent (VDP) was measured by adaptive K-means. Pairwise comparison showed that lobar VDP variation patterns were different in CF vs. asthma,
although patterns were similar in severe vs. non-severe asthma. Disease-related
lobar VDP variation patterns may provide a sensitive indicator for early
detection and patterns of progression in obstructive lung disease.Purpose
To quantify and compare patterns of
ventilation heterogeneity between lung lobes in asthma vs. cystic fibrosis (CF)
using hyperpolarized helium-3 (HP 3He) MRI and multidetector computed
tomography (MDCT).
Methods
Seven cystic fibrosis (age: 23±12 years)
and 69 asthma subjects with different severities (non-severe: n = 49, 21±12 years;
severe: n = 20, 38±14 years) were enrolled in HIPAA-compliant studies with IRB
approval. Each subject underwent HP 3He MRI at 1.5T (Signa HDx, GE Healthcare,
Milwaukee WI) and MDCT (VCT, GE Medical Systems, Milwaukee, WI) less than 72
hours apart. The 3He scan used a fast 2D multislice gradient-echo sequence with
the following parameters: TR/TE = 7.8/4.2 ms; flip angle = 7º; acquisition
matrix = 128 × 128; slice thickness = 10 mm for CF and 15 mm for asthma. Proton
MRI was performed prior to the 3He scan using a 2D single-shot multislice fast
spin echo sequence under equivalent breath-hold conditions (functional residual
capacity + ~1L) with acquisition matrix, field of view, slice thickness, and
position matching the 3He scan. MDCT was acquired at full inspiration and reconstructed
for quantitative measurement at nearly isotropic voxel size with slice
thickness = 0.6 mm.
The right and left lungs were segmented
on proton MRI using a region-growing
method written in MATLAB (MathWorks, Natick, MA). The lung lobes (right
upper–RUL, middle–RML and lower–RLL; left upper–LUL and lower–LLL) were
segmented manually by drawing the fissure lines on the proton image while referring to the
anatomically-matched CT slice.1 The proton image was registered to
the 3He image using 3D affine registration by Advanced Normalization Tools.2
The adaptive K-means method3
was used to measure ventilation defect percent (VDP) by lung lobe.
A linear mixed-effects
model was used to perform pairwise comparison of VDP among lobes within each
subject group. A p < 0.05 was
considered significant.
Results
The examples of
segmented defects in color-coded lobes (
Fig.1)
show typical results, with larger focal defects in CF compared to asthma. Although
the lungs with severe asthma have larger defects than non-severe asthma, all
asthma cases yield similar variation patterns in VDP among the lobes (
Fig.2) with RML more affected than RLL,
LUL, and LLL with all
p < 0.04 (
Table 1). In CF subjects, the RUL was most
affected (all
p < 0.02), with
upper lobes generally more defected than lower lobes.
Discussion
The sources of airway obstruction
in CF and asthma are known to differ. Obstruction in asthma is thought to be
due to a combination of central airway remodeling and small-airway
inflammation, while CF is thought to be dominated by central airway obstruction
due to mucus plugging. Consistent with the variations in VDP, the airway tree
segmented on MDCT using VIDA (VIDA Diagnostics v2.0, Coralville, IA)
demonstrated noticeably more pruning in the RUL of a CF subject relative to a
subject with non-severe asthma (
Fig.3).
However, further quantitative analysis such as airway counts, wall thickness,
and lumen area by lobe is needed to associate lobar VDP with local airway
obstruction. Using HP gas MRI to assess lobar ventilation heterogeneity in
different disease processes may reveal the patterns of disease progression in
asthma, CF, and other obstructive lung diseases.
Conclusion
Lobar VDP assessed via
a combination of HP 3He and MDCT demonstrates disease-related patterns of
heterogeneity that are not reflected in whole-lung VDP measurements. These may serve
as more sensitive imaging biomarkers for disease progression or treatment
effect in obstructive lung disease.
Acknowledgements
We acknowledge support
from GE Healthcare, NIH UL1TR000427, NIH/NHLBI U10 HL109168 (The Severe Asthma
Research Program), NIH/NCI 5 T32 CA009206 Radiological
Science Training Grant, NIH UL1TR000427, and NIH KL2TR000428.References
1. Fain S,
Gonzalez-Fernandez G, Peterson E, et al. Evaluation
of structure-function relationships in asthma using multidetector CT and
hyperpolarized He-3 MRI. Acad. Radiol. 2008; 15(6):753-762
2. https://github.com/stnava/ANTs
3. Zha W, Kruger S,
Cadman R, et al. An adaptive K-means approach for assessment of ventilation
defects in asthma and cystic fibrosis using hyperpolarized helium-3 MRI. ISMRM
2015