Alexander M Matheson1, Harkiran K Kooner1, Elianna Bier2, Junlan Lu2, Bastiaan Driehuys2, Miranda Kirby3, Giles Santyr4,5, Mitchell S Albert6, Yurii Shepelytskyi6, Vira Grynko6, Sarah Svenningsen7,8, Alexei Ouriadov9, Inderdeep Dhaliwal10, J Michael Nicholson10, and Grace Parraga1,10
1Department of Medical Biophysics, Robarts Research Institute, Western University, London, ON, Canada, 2Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States, 3Department of Physics, Ryerson University, Toronto, ON, Canada, 4Hospital for Sick Children, Toronto, ON, Canada, 5Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 6Thunder Bay Regional Health Research Institute, Lakehead University, Thunder Bay, ON, Canada, 7Division of Respirology, Department of Medicine, McMaster University, Hamilton, ON, Canada, 8St. Joseph's Healthcare, Hamilton, ON, Canada, 9Department of Physics and Astronomy, Western University, London, ON, Canada, 10Division of Respirology, Department of Medicine, Western University, London, ON, Canada
Synopsis
Post-acute COVID19 syndrome (PACS) is an
umbrella term for a syndrome of symptoms persisting at least 12 weeks post
COVID19 infection. Preliminary studies in PACS patients post-hospitalization revealed
abnormally low 129Xe RBC-to-barrier ratios, but the clinical
relevance of this is not well-understood. We acquired 129Xe gas-transfer
MRI, spirometry, diffusing-capacity-of-the-lung for carbon-monoxide (DLCO)
and same-day CT in 39 participants including 30 PACS and 9 never-COVID19
controls. The 129Xe MRI RBC-to-barrier ratio was significantly related
to DLCO and significantly lower in both never-hospitalized and ever-hospitalized
PACS patients compared to never-COVID19 controls.
Purpose
Approximately
3-7 in 101 people with COVID19
infection will experience persistent symptoms at least 12 weeks post-infection including
dyspnea, fatigue, chest-pain and impaired quality-of-life. The constellation of
symptoms has been termed post-acute COVID19 syndrome (PACS)2 and recent studies have
shown that the diffusing-capacity-of-the-lung for carbon-monoxide (DLCO),3 pulmonary vascular tree
volume4 and other CT
measurements5 are abnormal in patients
with PACS. Preliminary 129Xe MRI investigations6,7 identified a reduced
red-blood-cell to barrier (RBC:barrier) signal intensity ratio, suggestive of gas
transfer impairment but without a strong relationship with DLCO. These
pilot studies focused on small groups (n=9; n=13) of hospitalized patients,
which is notable because many PACS patients did not experience severe infection
and hypoxia requiring hospitalization. Hence, we asked the question: Does PACS in ever-hospitalized patients
differ from those who did not require hospitalization? We hypothesized that the 129Xe MRI RBC:barrier
ratio would significantly differ in ever-hospitalized as compared to never-hospitalized
PACS and would be significantly related to DLCO, CT airway and vessel
measures. Methods
Participants:
Participants
with a confirmed positive COVID19 test and who were followed for long-term
COVID symptoms, provided written informed consent to a baseline visit at 12
weeks post-infection consisting of 129Xe MRI, spirometry, DLCO,
thoracic low-dose CT, and again 6- and 12-months post-baseline. A never-COVID19
control group who had never experienced COVID19 infection nor any acute or
chronic cardiopulmonary disease during the period January 2020-January 2021 also
provided written informed consent to the same examinations.
Data Acquisition:
MRI was acquired using a whole-body 3.0T Discovery MR750 system
(General Electric Healthcare, USA) with broadband imaging capabilities and a
flexible vest transmit-receive coil (Clinical MR Solutions, USA). 129Xe
MR spectroscopy was acquired following inhalation breath-hold of a 1.0L gas
mixture (4/1 by volume 4He/129Xe) from functional
residual capacity (FRC) using a free-induction-decay whole-lung spectroscopy
sequence (200 dissolved-phase spectra, TR=15ms, TE=0.7ms, flip=40°,
BW=31.25kHz, 600μs 3-lobe Shinnar-Le Roux pulse). Spectroscopy was used to determine
the echo time for a 90° barrier/RBC phase difference (TE90).
129Xe MRI was performed following inhalation of a 1.0L gas mixture
(1/1 by volume 4He/129Xe) using an interleaved
gas/dissolved-phase 3D radial sequence (TR=15ms TE=variable, flip=0.5°/40°,
FOV=40cm3, matrix=72x72x72, BW=62.5kHz, 990 gas/dissolved
projections, 600μs 3-lobe Shinnar-Le Roux pulse, frequency shift=7.664kHz).
CT images were acquired in a subset (n=22) of participants using a 64
slice LightSpeed VCT system (General Electric Healthcare) during inspiration breath-hold
of 1.0L of N2 gas from FRC (64x0.625 collimation, 100mA, tube
rotation time 500ms, pitch 1.25, standard reconstruction kernel, 1.25mm slice
thickness).
Post-bronchodilator (4x 100μg Salbutamol Sulfate (Ivax Pharmaceuticals,
Ireland)) pulmonary function tests were performed using an EasyOne Pro Lab gas
analyzer (NDD Medizintechnik AG, Switzerland) according to American Thoracic
Society guidelines.8,9
Data Analysis:
MRS peaks were fit to three complex Lorentzian distributions to determine
compartment frequency and area under the curve (AUC). RBC:barrier ratio was
calculated as the ratio of RBC AUC to barrier AUC. MRI
reconstruction was performed by regridding radial k-space data to a cartesian
representation (kernel sharpness=0.32, overgridding=3).10 Receiver
phase-offset and local phase inhomogeneity were corrected as previously
described.11
Ventilation defect percent (VDP) was calculated as previously described.12
Quantitative CT analysis was performed using VIDAvision (VIDA Diagnostics Inc.,
USA) to determine CT percent-of-vessels-with-radius <1 voxel (PV1)
and CT airway wall area % (WA%). Inter-group differences were determined using
ANOVA with post-hoc Student’s t-tests. Relationships were determined using
Spearman correlation coefficients.Results
We
enrolled 30 PACS participants (53±15 years, 14M/16F) and nine never-COVID19 controls
(41±16 years, 5M/4F). As shown in Table 1, there were significant differences for
age (p=.04) between control and PACS participants but no other pulmonary
function differences. Figures 1 and 2 show that ever-hospitalized PACS
participants had lower RBC:barrier ratio (p=.01) and RBC AUC (p=.002) than never-COVID19
controls. Never-hospitalized PACS participants reported a significantly
diminished RBC:barrier ratio (p=.047) compared to controls. Figure 3 shows 129Xe
MRI evidence of ventilation patchiness and heterogeneity but qualitatively
homogenous barrier and RBC images. Figure 4 shows that the RBC:barrier ratio strongly
correlated with DLCO (ρ=.72, p=.008) and trended toward a significant
relationship with CT PV1 in ever-hospitalized (p=.08) but not never-hospitalized
participants.Discussion
In
contrast with our findings, previous work in a smaller group of ever-hospitalized
PACS patients did not show a significant
relationship between RBC:barrier ratio and DLCO, albeit in a narrow
range of DLCO values.7
Given the significant differences in RBC:barrier ratio but not DLCO
between controls and PACS participants, 129Xe RBC:barrier may be
more sensitive to alveolar-level gas transfer abnormalities. We observed significant
differences between RBC AUC in ever-hospitalized participants and controls, but
not for barrier AUC, suggesting that vascular abnormalities may dominate abnormal
gas exchange observed here. Prior comparisons between MR and CT measures
post-COVID noted near-normal observer CT-scores. We report no significant
differences between quantitative CT measures of airway or vessel structure, but
an unexpected relationship between RBC:barrier and PV1 in
hospitalized participants which may hint at pulmonary blood distribution abnormalities
post-COVID.Conclusions
The 129Xe
MRI RBC:barrier ratio and RBC AUC were abnormal in ever-hospitalized PACS patients
whilst 129Xe MRI RBC:barrier ratio correlated with DLCO.
Together, these findings suggest that RBC:barrier ratio points to gas-transfer abnormalities
that stem from the small pulmonary vessels that remain abnormal post-COVID19
infection.Acknowledgements
We would like to acknowledge the support of the Government of Ontario Ministry of Health for grant funding for the LiveCovidFree study.References
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