Marcel Gutberlet1,2, Till Kaireit1,2, Andreas Voskrebenzev1,2, Julia Freise3, Tobias Welte3, Frank Wacker1,2, and Jens Vogel-Claussen1,2
1Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Plattform Imaging, German Centre for Lung Research (DZL), Hannover, Germany, 3Clinic of Pneumology, Hannover Medical School, Hannover, Germany
Synopsis
Quantification
of regional lung ventilation is of high relevance for several lung diseases
like chronic obstructive lung disease (COPD) or asthma. In this study real-time
dynamic fluorinated gas MRI in free breathing for mapping of regional lung
ventilation was applied in patients with COPD and healthy volunteers. A
significant difference of washout kinetics between healthy volunteers and COPD
patients was found. Dynamic fluorinated gas MRI highly correlated with lung
function test which is used for COPD classification. PURPOSE – “Why was this study/research performed?”
Pulmonary
function testing, the clinical gold standard for obtaining lung ventilation,
provides only global information. Pulmonary hyperpolarized gas MRI (
3He,
129Xe) facilitates evaluation of regional lung ventilation at high
signal-to-noise ratio with high spatial resolution. However, as
3He
and
129Xe lung MRI are typically single breathhold techniques, local
lung ventilation may not be quantified in regions of slow washin kinetics
(e.g. in emphysematous regions of
COPD (chronic obstructive lung disease) patients), due to lack of inhaled
gas in these lung regions after a single breath. Using fluorinated (
19F)
gas MRI to measure washin and washout kinetics by inhaling a mixture of the
tracer gas with oxygen over several minutes may provide quantitative regional
information of lung ventilation even in areas of slow washin or washout
kinetics. Previously, ventilation dynamics using fluorinated gas MRI has been
measured during breathholds each interleaved by several breathing cycles
1.
However, free breathing rather than repeated breathholds reflect normal lung
physiology and real-time dynamic MR acquisition may increase accuracy as
typical washin / washout times are in the range of several breathing cycles.
Therefore, the purpose of this study was to quantify regional lung ventilation
in COPD patients and normal volunteers using dynamic fluorinated gas MRI in
free breathing and to correlate MRI-derived regional lung ventilation to
parameters of the clinical lung function test.
METHODS – “How has this problem been studied?”
This study
was approved by the local ethics committee. A human subject study using
fluorinated gas MRI in free breathing was performed on a 1.5 T scanner
(Siemens, Avanto) including 11 patients with COPD and 8 healthy volunteers.
Dynamic
19F imaging was performed with a dedicated coil (Rapid
Biomedical) tuned to 59.9 MHz consisting of a transmit Helmholtz coil and a 16
channel phased-array receive coil using a 3D spoiled gradient echo sequence (TE=5.1
ms, TR=12 ms, flip angle=50°, FOV=50x50x20 cm³, matrix size=64x64x6,
bandwidth=140 Hz/pixel, GRAPPA factor=2). Each patient inhaled 30l of a mixture
of 79% fluorinated gas (C
3F
8) and 21% oxygen via a closed
face mask tubing and monitoring system as previously described ².
Then, the subjects inhaled 100% O
2 and the measurement of the
19F
wash-out dynamics was started. At post-processing, washout times in units of
seconds (w
out[s]) and in number of breathing cycles (w
out[#breaths])
were determined in inspiration (insp) and expiration (exp) by mono-exponential fitting to
the signal time series. Additionally, fractional ventilation (FV) was
calculated using the following equation: FV=1-exp(-1/ w
out∙f
resp) (f
resp: mean respiratory frequency). For comparison with the current clinical gold standard,
all patients with COPD underwent a lung function test.
RESULTS – “Principal data and statistical analysis”
All COPD patients and
healthy volunteers completed the
19F MRI exam without any side
effects. Exemplary
19F gas images and washout maps of a healthy
volunteer and a patient with COPD are shown in Figure 1 und Figure 2. Results
for washout dynamics are presented in expiration due to lower variation
compared to inspiration (coefficient of variation in volunteers for w
out[s]: insp: 0.35 /
exp: 0.30; for w
out[#breaths]:
insp: 0.31 / exp: 0.27; for FV: insp: 0.25 / exp: 0.19). Wilcoxon-Mann-Whitney test showed that for both w
out[s] and w
out[#breaths]
washout time was significantly increased for patients with COPD (31.5±16.2 s;
6.6±2.8 breaths)
compared to healthy volunteers (11.1±6.5 s;
2.0±0.6 breaths, p<0.001, Figure 3a
and Figure 3b). In addition, FV was significantly reduced for patients with
COPD (21.5±13.4 %) in comparison to healthy subjects (44.2±11.2 %) with
p<0.001 (Figure 2c). For patients with COPD, the FV derived by dynamic
fluorinated gas MRI correlated well with
lung function test parameters (Spearman´s correlation coefficient) : forced
expiratory volume at 1s (FEV1) r=0.77 (p<0.01) (Figure 4), FEV1 %/ forced vital
capacity (FVC) r=0.74 (p=0.01) and ratio
of forced expiratory flow (FEV) at 75% and 25% of FVC (FEV25-75%) r=0.80 (p<0.01).
DISCUSSION – “What is the interpretation of the data?”
Dynamic fluorinated
gas MRI in free breathing can measure impaired regional lung ventilation due to
emphysema and air trapping in patients with COPD in comparison to healthy
volunteers. The large range of washout times in patients with COPD compared to
the healthy group can be explained by the different severity of lung disease in
the COPD patient group. This is supported by the fact that the FV obtained by
dynamic fluorinated gas MRI showed a strong positive correlation to FEV1,
FEV1/VC and FEV25-75%, which are
used in clinical routine to grade the severity of COPD (GOLD classification ³).
CONCLUSION – “What is the relevance to clinical practice or future
research?”
The findings of this
study show that dynamic fluorinated gas-washout MRI in free breathing allows
detection and quantification of regional lung ventilation and thus adds
significant value to the current clinical lung function test improving
diagnosis and monitoring in COPD patients.
Acknowledgements
This work was supported by the German
Centre for Lung Research (DZL), Regenerative
Biology
and Reconstructive Therapies
(REBIRTH)
and Fritz-Behrens-Stiftung,
Hannover.References
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