Nicholas David Weatherley1, Helen Marshall1, Paul Hughes1, Jody Bray1, David Capener1, Matthew Austin1,2, Laurie Smith1,3, Stephen Renshaw1, Stephen Bianchi2, and Jim Wild1
1University of Sheffield, Sheffield, United Kingdom, 2Sheffield Teaching Hospitals, Sheffield, United Kingdom, 3Sheffield Children's Hospital NHS Foundation Trust, Sheffield, United Kingdom
Synopsis
Dynamic contrast-enhanced
magnetic resonance imaging (DCE-MRI) produces metrics of lung perfusion at the
capillary level. To date, little assessment of patients with idiopathic
pulmonary fibrosis (IPF) has been reported with DCE-MRI. In fourteen patients
with IPF, we found that regions of low flow and high transit times were
associated with anatomical disease. Whole lung metrics of transit time and
heterogeneity of blood volume demonstrated a relationship with pulmonary
function tests. Such functional imaging strategies may be useful in quantifying
functional changes in the pulmonary vasculature in IPF.
Motivation
Idiopathic pulmonary fibrosis
(IPF) is a fatal lung scarring disease of unknown aetiology.
1
Significant interest exists in better defining pathophysiological mechanisms of
this disease and in identifying novel biomarkers, given the insensitivity of
existing clinical metrics and the ensuing difficulty in accurate
prognostication.
2
Most patients with IPF listed for lung transplantation exhibit elevated
pulmonary arterial pressures (PAP), as many patients in the end stages of
disease develop overt pulmonary hypertension (figure 1).
3 However, more than 60% of the
capillary bed is lost before elevated pulmonary arterial pressures are
manifest.
4 Recent data from quantitative
computed tomography (CT) assessment of blood vessel density suggests that loss
of the pulmonary vascular capillary network is prognostic in IPF.
5 Dynamic contrast-enhanced
magnetic resonance imaging (DCE-MRI) with gadolinium provides an opportunity to
quantify changes in perfusion at the regional and whole-lung level.
6
These metrics are of prognostic value in pulmonary hypertension,
6
but to our knowledge, MR metrics have not been explored in the assessment of
vascular changes in IPF.
Methods
Participants with a
multidisciplinary diagnosis of IPF were recruited through a tertiary
interstitial lung disease centre. All had a systolic PAP estimated by
echocardiography of <35mmHg at baseline assessment, or did not have
tricuspid regurgitation.7 Each underwent a baseline
DCE-MRI with planned follow-up at 12 months. Images were obtained on a 1.5T GE HDx
scanner, with an 8-channel thoracic array coil using a 3D spoiled gradient echo
time resolved view sharing sequence 8 with parallel imaging.9
Pulse sequence parameters included: voxel size 2.4x6.0x10.0mm3,
bandwidth 250kHz, flip angle 30O, TE 1.1ms, TR 2.5ms, frame rate of
2 per second. Images were taken during inspiration, following a bolus of
0.05mL.kg-1 dose of Gadovist, injected at a rate of 4mL.s-1
with a 20mL 0.9% sodium chloride flush. Parametric maps of transit time,
regional blood flow (rBF) and regional blood volume (rBV) were calculated for
each voxel 10 from the full width of half maximum (FWHM) of the
first pass perfusion signal enhancement (figure 2), regional blood flow (rBF)
and regional blood volume (rBV) were calculated10 for each voxel. Each parameter was averaged over the whole
lung to give a mean, standard deviation (SD) and coefficient of variation (CoV
= SD/mean) for each patient. Pulmonary function tests (PFTs) were performed on
the same day, including spirometry for forced vital capacity (FVC) and
diffusing capacity / coefficient of the lung for carbon monoxide (DLCO
/ KCO). Spearman’s rho determined the strength of correlations. Wilcoxon
Rank test evaluated the significance of 12-month changes.Results
Fourteen participants underwent
initial baseline DCE-MRI. Seven have thus far returned for further DCE-MRI at
12 months. No statistically significant correlations existed between DCE-MRI
metrics and FVC. However, mean FWHM correlated with DLCO (r=-0.55; p=0.046)
and rBV CoV correlated with percent predicted KCO (r=-0.67; p=0.011),
as in figure 3. The mean, SD and CoV of rBF did not demonstrate statistically
significant correlations. Coronal FWHM maps demonstrate regions of high transit
time, anatomically associated with fibrotic lung disease on computed tomography
performed at baseline (figure 4). These increases are spatially prominent in
peripheral and basal lung tissue, regions affected by the pathological process
in IPF. After 12 months, rBV and rBF parameters have not demonstrated
significant change, but mean FWHM has increased in the returning cohort (median
increase 1.11 seconds, p=0.031), as represented in figure 5.Discussion
Given the correlation with carbon monoxide gas diffusion
metrics, FWHM and rBV may help to ascertain how much of the reduction in carbon
monoxide gas transfer is driven by capillary perfusion deficit and haemodynamic
pathology. The increase in FWHM in our small cohort of returners to date is of
interest, as it this may represent dynamic capillary compression, or loss of
the vascular bed due to progression of fibrotic lung disease. Although changes
in pulmonary haemodynamics are appreciable in IPF, the only current
non-invasive method of clinical assessment is by surrogate measures of
pulmonary hypertension, such as systolic PAP estimation on echocardiography,
which is inherently non-specific and inaccurate to the proportion of disease.7 Earlier changes are difficult
to assess, but identifying patients with changes to the pulmonary capillary bed
may help to stratify treatment, as exemplified by the ongoing
randomized-controlled trial of sildenafil versus
placebo in IPF (clinicaltrials.gov no. NCT02802345). Although limited in numbers, this work may
compliment work in the field of hyperpolarized xenon spectroscopy in assessing
the components of gas exchange in the lung in interstitial lung diseases, and
thus provide a complete picture of lung perfusion and alveolar gas exchange
which is non-invasive.Acknowledgements
This work was supported by NIHR grant NIHR-RP-R3-12-027 and MRC grant MR/M008894/1. The views expressed in this work are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health.References
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