Corona Metz1, Julius Frederik Heidenreich1, Andreas Max Weng 1, Thomas Benkert2, Herbert Köstler1, Thorsten Alexander Bley1, and Simon Veldhoen1
1Department of Diagnostic and Interventional Radiology, University Hospital, Würzburg, Germany, 2Application Development, Siemens Healthcare GmbH, Erlangen, Germany
Synopsis
Functional and morphologic assessment of lung disease is to date
performed separately using pulmonary function testing and mostly
radiation-based imaging. UTE MRI is a promising tool for radiation-free
pulmonary imaging. Pre-existing invasive functional MRI techniques have been transferred
to UTE MRI. For non-invasive combined functional and morphologic imaging, radiation-free
3D-UTE MRI acquired in breath-hold and using stack-of-spirals trajectories
enables ventilation measurements with high reproducibility for both tidal and
deep fractional ventilation.
Introduction
To date, functional and morphologic assessment of lung diseases is performed
separately using pulmonary function testing and chest radiography or computed
tomography (CT). In order to reduce cumulative radiation dose especially in
chronic pulmonary diseases, MRI using ultrashort echo times has been demonstrated
to provide an image quality similar to CT1-3. Compared to former
sequence techniques used for pulmonary MRI, UTE sequences allow for
significantly improved signal yield. Pre-existing functional MR imaging techniques,
for example oxygen-enhanced imaging and contrast-enhanced perfusion imaging, have
been transferred to pulmonary UTE MRI in scientific setups4,5 in order to combine
functional and morphologic pulmonary imaging. However, non-invasive combined
functional and morphologic imaging is the declared goal
in the development of radiation-free functional lung MRI.
For this purpose, the aim of this work was to evaluate the intraindividual
reproducibility of functional lung analysis using non-contrast-enhanced 3D-UTE MRI.Methods
Nine healthy volunteers without acute or known chronic pulmonary disease were
included into this prospective single-center study and underwent contrast-free 3D-UTE
MRI in breath-hold technique. Imaging was repeated within five to eight days. MR
image sets were acquired on a 3T scanner (MAGNETOM Prisma, Siemens Healthcare, Erlangen,
Germany) using a prototypical stack-of-spirals 3D-UTE sequence6 with a dual-density trajectory7, iPAT factor 2, and further sequence parameters as
follows: TR = 2.35 msec; TE = 0.05 msec; flip angle = 5°; FOV = 600 mm x 600 mm; in-plane resolution = 2.3 mm x 2.3 mm; slice thickness
= 2.3 mm; nonselective
hard pulse duration = 60 µs; spiral interleaves = 264; readouts
per spiral = 265; number of
partitions = 102 ± 14 (depending on the thoracic diameter). Five different
breathing states (deep
inspiration, normal inspiration, breathing baseline, normal expiration and deep
expiration) were acquired within a single
breath-hold of 12.7 –
17.6s each, resulting in an overall acquisition time of less than 3 minutes. Images were reconstructed using SPIRiT
reconstruction8. Breathing states were registered to the breathing
baseline dataset using a deformable B-spline registration algorithm9. The signal intensities (SI) of all acquired
breathing states were plotted voxel-wise, and a linear fit was performed to
model the decreasing signal intensity from deep expiration to deep inspiration
in order to minimize the impact of image noise on the data. Finally, fractional
ventilation (FV) was calculated according to Zapke et al10. Further, FV was calculated as change of lung volumes (Vol) over the
breathing cycle as well10.Results
FVSI of tidal
ventilation with mean values of 0.16 ± 0.06 ml air/ml lung parenchyma for the
first examination and 0.17 ± 0.08 ml air/ml lung parenchyma for the second one
showed high correlation with a Spearman´s correlation coefficient of r = 0.87.
Assessment of FVSI for deep ventilation yielded a mean of 0.38 ±
0.08 ml air/ml lung parenchyma for the first and 0.38 ± 0.10 ml air/ml lung
parenchyma for the second scan, with good correlation (r = 0.85). Bland-Altman
Analysis showed a mean difference of 0.00 with an interval of confidence (CI) ranging
from -0.09 to 0.09 (Figure 1). The difference of the ventilation parameters FVSInorm
and FVSIdeep was significant (p < 0.01). In order to decouple FVSI
from the breathing depth FVSI was divided by FVVol. This led
to an adaption of FV for tidal (first scan, 0.66 ± 0.16 ml air/ml lung
parenchyma; second scan, 0.77 ± 0.24 ml air/ml lung parenchyma) and deep ventilation
(first scan, 0.72 ± 0.13 ml air/ml lung parenchyma; second scan, 0.75 ± 0.10 ml
air/ml lung parenchyma; p = 0.25), with high correlation for tidal (r = 0.85) and
deep ventilation (r = 0.97). Mean difference of Bland-Altman Analysis was 0.05
with a CI from -0.25 to 0.15 (Figure 2).Discussion
The assessment of both, FVSI
of tidal and deep ventilation showed high reproducibility of calculated
fractional ventilation using 3D-UTE MRI. Mean FVSI values acquired in
deep ventilation were approximately twice as high as in tidal ventilation, confirming
the strong dependence of FVSI from breathing depth. Normalizing FVSI
decoupled the value for fractional ventilation from breathing depth and still showed
high reproducibility (Figure 3). Mean values of normalized FV <1.0 can be attributed
to image artifacts, large pulmonary vessels or inaccuracies during segmentation
of the lungs and resulting errors in calculation of lung volumes.Conclusion
Non-contrast-enhanced 3D-UTE MRI allows for morphologic imaging as shown
before and highly reproducible determination of tidal and deep fractional
ventilation in breath-hold technique. It is supposed to be a promising tool for
monitoring of respiratory function, for example in patients with chronic lung
disease or during lung toxic therapies.Acknowledgements
The project underlying this
report was funded by the Deutsche Forschungsgemeinschaft (DFG).
The
Department of Radiology receives a research grant from Siemens Healthcare GmbH.
The grant is not specifically directed towards any of the authors.
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