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. 2021 May 25:210033. doi: 10.1148/radiol.2021210033

Hyperpolarized 129Xe MRI Abnormalities in Dyspneic Participants 3 Months after COVID-19 Pneumonia: Preliminary Results

James T Grist 1,2,3,4, Mitchell Chen 3, Guilhem J Collier 5, Betty Raman 2, Gabriele AbuEid 3, Anthony McIntyre 3, Violet Matthews 3, Emily Fraser 7, Ling-Pei Ho 6,7, Jim M Wild 5, Fergus Gleeson 3,8,
PMCID: PMC8168952  PMID: 34032513

Abstract

Background

SARS-CoV-2 targets angiotensin-converting enzyme 2 (ACE2) expressing cells in the respiratory tract. There are reports of breathlessness in patients many months post-infection.

Purpose

This study aimed to determine if hyperpolarized 129Xe MRI (XeMRI) imaging could identify the possible cause of breathlessness in patients three months after hospital discharge following COVID-19 infection.

Materials and Methods

This prospective study was undertaken between August and December 2020, with patients and healthy control volunteers enrolled. All patients underwent: lung function tests; ventilation and dissolved phase XeMRI, with the mean Red Blood Cell (RBC):Tissue Plasma (TP) ratio to be calculated; and a low dose chest CT scored for the degree of post-COVID-19 abnormalities. Healthy controls underwent XeMRI. The intraclass correlation coefficient was calculated for volunteer and patient scans, to assess repeatability. A Wilcoxon rank-sum test and Cohen's effect size calculated to assess for differences between RBC:TP in patient and controls.

Results

9 patients (mean age 57±7 years, Male = 6) and 5 volunteers (29 ± 3 years, Female = 5) were enrolled. Patient mean time from hospital discharge was 169, range 116-254 days. There was a difference in RBC:TP between patients and controls (0.3 ± 0.1 versus 0.5 ± 0.1, respectively, p = 0.001, effect size = 1.36). There was significant difference between the RBC and gas phase spectral full width at half maximum (FWHM) between volunteers and patients (median ± 95 % confidence interval, 567 ± 1 vs 507 ± 81, p = 0.002 and 104 ± 2 vs 122 ± 17, p = 0.004, respectively). Results were reproducible with Intraclass Correlation Coefficients of 0.82 and 0.88 for patients and volunteers respectively. Participants had normal or near normal CT scans, mean 7/25, range 0-10/25.

Conclusion

Xe MRI showed alveolar-capillary diffusion limitation in all 9 post COVID-19 pneumonia patients despite normal or nearly normal CT scans.

See also the editorial by Dietrich.


Summary

For dyspneic patients 3 months after discharge from the hospital for COVID-19, hyperpolarized 129Xe MRI showed abnormalities due to gas transfer limitation in the lungs.

Key Results

  • ■ In nine patients evaluated at 3 months post hospital discharge for COVID-19, hyperpolarized 129Xe MRI identifies regional RBC:TP abnormalities, in comparison to healthy controls, (0.3 ± 0.1 versus 0.5 ± 0.1, respectively, p = 0.001, effect size = 1.36) despite structurally normal/near normal lungs on CT post COVID-19 pneumonia.

  • ■ Hyperpolarized 129Xe MRI gas transfer abnormalities are present post COVID-19 pneumonia even when patient clinical measurements such as D-dimer, hemoglobin and lung function tests are within normal range.

  • ■ These abnormalities were detected in the presence of contemporaneous normal/near normal CT scans (mean score = 7/25, range = 0-10/25).

Introduction

There is emerging evidence of long-term challenges for patients after COVID-19 infection, often called 'Long-COVID', with many reporting ongoing symptoms many weeks and months after the acute illness (1). Studies have also shown that patients with SARS-CoV-2 virus may have multi-organ damage that can persist months after discharge (2,3). Two of the commonest symptoms in patients with Long-COVID are fatigue and breathlessness, commonly with no identifiable cause on imaging, lung function or blood tests (4).

Dissolved phase hyperpolarized 129Xe MRI (Xe MRI) enables sensitive, regional investigation of pulmonary ventilation, microstructure and gas transfer across the alveolar epithelium into the blood stream (58). The solubility of xenon in the blood in the pulmonary vasculature presents a sensitive method of quantifying ventilation and/or perfusion defects in the lungs (9) and has the advantage of identifying areas of gas exchange mismatch that is not possible by composite measures of global lung function such as that provided by carbon monoxide diffusing capacity (DLCO) measurements (10). An initial study has demonstrated abnormal gas transfer in acutely unwell patients with COVID-19 infection (11). This study aimed to determine if dissolved phase Xe MRI could identify the possible cause of breathlessness in participants more than three months after hospital discharge following COVID-19 infection.

Materials and Methods

The study was approved by our local ethical board (20/NW/0235) and participants were enrolled between August and December 2020. All participants signed an informed consent form and agreed to participate in this study.

Patients were recruited from local respiratory medicine clinics, with the following criteria: positive polymerase chain reaction (PCR) result for SARS-CoV-2, have been hospitalised for COVID-19, and discharged from hospital for at least 3 months. Patients were excluded who had been invasively ventilated during their stay in hospital. Volunteers were recruited from asymptomatic local staff with a negative PCR result for SARS-CoV-2 and no history of cardiac or respiratory disease and imaged to enable reproducibility and comparison with prior Xe MRI publications in patients with interstitial lung disease to be performed. No participant was reimbursed for taking part in this study.

All patients had unenhanced low dose inspiratory volumetric CT performed both at 1 litre inspiration, and then at full expiration, hyperpolarized Xenon MRI, spirometry, and standard biochemistry and haematology tests on the same day, Medical Research Council (MRC) breathlessness and Modified Borg (mBORG) dyspnea scores were collected, and their in-patient imaging was also reviewed. All volunteers had a hyperpolarized Xenon MRI. (See Figure 1 for patient enrollment and investigations.)

Figure 1:

Study flowchart.

Study flowchart.

Xenon hyperpolarization

129Xe gas (86% 129Xe, Spectra Gases Inc.) was polarized as previously described (12).

Briefly, 129Xe gas (86% 129Xe, Spectra Gases Inc., Ely, Cambs) was polarized by rubidium vapour spin exchange optical pumping (SEOP), and cryogenically accumulated in 1-L doses using a commercial polarizer (Model 9810, Polarean, Durham, NC).

Polarization was measured using a commercial polarisation measurement station (Model 2881, Polarean). Hyperpolarized 129Xe was thawed into a Tedlar® bag (Jensen Inert Products, Coral Springs, FL) and given within 10 minutes of production to participants who were lying supine in the MRI scanner (12).

Hyperpolarized Xenon MRI

XeMRI was performed on a 1.5T GE system (HDx, GE Healthcare, Chicago, IL) with imaging performed on a dedicated 129Xe thorax transmit receive quadrature coil (CMRS, Brookfield, WI) and the 1H body coil (GE Healthcare, Chicago, IL).

A single exponential fit to the integrated gas spectrum was used to calibrate transmit power (assuming 129Xe T1 of 23s) and centre frequency. A further sodium calibration was performed to estimate gas and dissolved phase centre frequency per participant using pulse acquire non-localised spectroscopic acquisition (hard pulse, pulse width = 500ms, TR = 100ms, flip angle = 20 degrees, number of averages (NEX) = 16) (13).

Dissolved phase 129Xe Images were acquired using a 3D 4-echo flyback radial acquisition as previously described (14) with acquired image resolution of 1.75cm in all dimensions, reconstructed resolution of 0.875cm in all dimensions, repetition time per spoke = 23ms, flip angle per excitation on dissolved and gas phases = 40 and 0.7 degrees, respectively, total scan time = 16s.

Gas, Tissue/Plasma (TP), and Red Blood Cell (RBC) images were reconstructed via matrix inversion of the preconditioned chemical shift encoding matrix in k-space, gridding and Fourier transform (15). The FWHM of the gas, TP, and RBC resonances, from the summed spectra from the calibration acquisition, was calculated after fitting a Lorentzian function in the frequency domain.

The noise level for each image was calculated on a slice-by-slice basis. Any voxels in the TP mask in a given slice that were less than 5 times the median noise level in the slice were discarded. Ratiometric maps (RBC:TP) were then calculated on a voxel-by-voxel basis.

The mean of each ratiometric map was then calculated on a patient-by-patient basis.

CT

CT scanning was performed using a Revolution CT (GE Healthcare, Chicago, IL). Low dose CT scans were performed following inspiration of room air, with a slice thickness of 0.625mm. The CT scans were reviewed by a single reader blinded to the clinical data and hyperpolarized xenon imaging results, on a PACS workstation, for the presence of ground glass opacification, reticulation, traction bronchial dilatation, and honeycombing using a previously published methodology (FG, 30 years of thoracic radiology experience) (16).

Chest X-Ray (CXR)

CXRs were reviewed by a single reader blinded to the blinded to the clinical data, and XeMRI results, using a previously published CXR severity score (FG, 30 years of thoracic radiology experience) (17). For the purpose of the study, the most severe CXR severity score assigned by the reader during the course of the hospitalization was used. Each CXR was divided into 3 zones, and each zone given a binary score dependent upon whether an abnormality was present (score of 1) or absent (score of 0).

Statistical analysis

The coefficient of variation of patient RBC:TP histogram data was calculated. RBC:TP reproducibility was assessed using the intraclass correlation coefficient (ICC). Spearman's correlation was performed between RBC:TP and DLco/spirometry/Hb/D-Dimer results. A Wilcoxon rank-sum test was used to compare mean RBC:TP between patients and controls, and Hodge's effect size was also calculated. Data is shown as mean ± sd. A p-value of 0.05 was considered significant. All analysis was performed in R (r-project.org, v4.0.3).

Results

A flow chart of the study recruitment process is shown in Figure 1. 9 patients (57 ± 7 years, Male = 6) and 5 healthy volunteers (29 ± 3 years, Female = 5) were recruited. Mean time from hospital discharge was 169, range 116-254 days. Patient demographics and clinical details are found in Table 1 and LFTs in Table 2.

Table 1:

Participant Clinical Details

graphic file with name radiol.2021210033.tbl1.jpg

Table 2:

Pulmonary Function Test Results of the Participants 3 Months or More after Recovery from Hospitalization from COVID-19 Pneumonia

graphic file with name radiol.2021210033.tbl2.jpg

Image analysis

Xenon calibration and imaging was successful in all patients, 23Na calibration showed a mean ratio metric difference between 23Na and 129Xe Gas resonances of 0.9563077 ± 0.0000008 and a frequency difference of 771758 ± 14 Hz.

Participant xenon dissolved phase imaging revealed impairment in the transport of gas from the tissue/parenchyma to the red blood cells. There was a difference in RBC:TP between patients and controls (0.3 ± 0.1 versus 0.5 ± 0.1, respectively, p = 0.001, effect size = 1.36). There was a significant difference in the FWHM between controls and patients in the RBC and gas phases (median ± 95 % confidence interval, 567 ± 1 vs 507 ± 81 Hz, p = 0.002 and 104 ± 2 vs 122 ± 17 Hz, p = 0.004, respectively) but not in the TP compartment (420 +− 2 vs 418 +− 57 Hz, p=0.72). See table 3 for numerical results. Participant and volunteers exhibited good subjective image ventilation of the lungs with 129Xe gas on reviewing the images. The mean score of the most severely abnormal in-patient CXRs was 3/6, range 0-6/6. The ICCs for participants and volunteers were 0.82 and 0.88, respectively.

Table 3:

Comparison of the Median Values for the XeMRI Global Spectral Full Width Half Maximum Peaks for Ventilation, Barrier and RBC for the Nine Participants 3 More Months after Recovery from COVID Pneumonia and the Five Normal Volunteers

graphic file with name radiol.2021210033.tbl3.jpg

Participants had normal or near normal CT scans, mean 7/25, range 0-10/25. The CT of an example patient taken at the time of their XeMRI can be seen in Figure 2 A-C, with comparative healthy control imaging in D-E. Montages of all patients and volunteers scanned in this study are shown in Figures 3 and 4.

Figure 2:

60-year-old man with history of post-COVID breathlessness, shown 172 days after discharge. (A) CT, (B) Ventilation and (C) RBC phase imaging. (D) Gas and (E) RBC phase imaging for a healthy control. 129Xe MRI images shown in the coronal view for both, with disrupted RBC in the patient.

60-year-old man with history of post-COVID breathlessness, shown 172 days after discharge. (A) CT, (B) Ventilation and (C) RBC phase imaging. (D) Gas and (E) RBC phase imaging for a healthy control. 129Xe MRI images shown in the coronal view for both, with disrupted RBC in the patient.

Figure 3:

A montage of all patients scanned in this study showing CT, Gas, and RBC phase imaging in the coronal plane.

A montage of all patients scanned in this study showing CT, Gas, and RBC phase imaging in the coronal plane.

Figure 4:

A montage of all volunteers scanned in this study showing Gas and RBC phase imaging.

A montage of all volunteers scanned in this study showing Gas and RBC phase imaging.

There were no significant correlations between the patient RBC:TP imaging and carbon monoxide diffusing capacity (DLCO, r = −0.08, p = 0.86), age (r = −0.2, p=0.6), D-Dimer (r = −0.55, p = 0.12), Hb (r = 0.17, p = 0.65), forced expiratory volume (r = −0.11, p =0.78), and forced vital capacity (r = 0.53, p = 0.17). There was a strong correlation between Gas and RBC phase FWHM and DLco (R2 = 0.99 and 0.94, respectively p = 0.04 for both correlations) but not with TP (R2 = 0.47, p = 0.2).

Discussion

Although the acute illness secondary to SARS-CoV-2 viral infection has been the main focus of research and clinical management, there are increasing reports of persistent symptoms, now called ‘Long-COVID', lasting for months after discharge (1), with no apparent reliable clinical or imaging biomarkers (4). Our study has investigated the possible etiology of these symptoms.

The SARS-CoV-2 virus binds to ACE2 receptors for internalization and propagation (18). These receptors are expressed in several groups of cells but type II alveolar epithelial cells are its main site in the lung (18). Upon internalization, the virus repurposes the cells' DNA to create its progeny, killing the host cells and infecting the neighboring cells, causing an increasing amount of alveolar damage (19). Type II alveolar epithelial cells are now known to be the progenitors to the type I alveolar epithelial cells which allows efficient gas exchange (20). Preferential destruction of type II cells following viral infection could impair alveolar repair, reducing the proportion of functioning gas exchange units within lungs. Additionally, COVID-19 disease shows specific immunological abnormalities which could contribute to vascular inflammation, thromboses and long term consequence in alveolar regeneration (21), with persistent functional abnormalities in monocytes promoting low grade vascular inflammation and hampering repair of the alveolar-epithelial-capillary layer (22), potentially impairing resolution of thrombi in the lungs. These abnormalities are especially relevant to the alveolar unit as the alveolar epithelium and the vessels are in close contact (sharing a basement membrane) (22). Alveolar capillary microthrombi may also contribute to local oxygen starvation of alveolar epithelium after COVID-19 and potentially delaying regeneration of these cells. See Figure 5 for a possible schematic representation of these processes.

Figure 5:

Schematic drawing of the processes leading to gas-dissolved phase mismatch post-COVID.

Schematic drawing of the processes leading to gas-dissolved phase mismatch post-COVID.

Our results are in keeping with the pathogenesis of disease secondary to SARS-CoV-2 virus infection. We have demonstrated lung function impairment using dissolved phase XeMRI in patients, as hallmarked by a significant decrease in RBC:TP between patients and volunteers (0.3 ± 0.1 versus 0.5 ± 0.1, respectively, p = 0.001, effect size = 1.36) after COVID-19 infection that is not readily detectable by conventional CT imaging (mean 7/25, range 0-10/25) or lung function tests including DLCO. The abnormalities we have observed specifically reflect the diffusion of xenon across the alveolar epithelium, and therefore the integrity of the alveolar epithelial-capillary structure. This alveolar epithelial damage is presumed to occur at the time of the initial infection, but its persistence and the possible alveolar capillary thrombosis, reported from postmortem studies of patients dying from COVID-19 pneumonia (23) may be contributing to the persistence of symptoms. This hypothesis is supported by our detection of damage more than 3 months post hospital discharge, with one of our patients demonstrating significant pulmonary damage more than 8 months post discharge. Alveolar capillary thrombosis may be one of the contributing factors to Long COVID, but this hypothesis will require substantiation in a larger population of patients post COVID-19 pneumonia, and also in a non-hospitalized cohort of patients with Long COVID. Additionally, we have failed to identify a correlation between XeMRI gas exchange severity and the D-Dimer measured at the time of scanning (r = −0.55, p = 0.12), suggesting that the thrombosis happened at the time of the acute infection, and that DDimer measurement may not be a reliable indicator of ongoing problems post the acute infection.

The prevalence, duration and resolution or otherwise of these abnormalities is unknown, and these will be critical to determine the health economic burden and management of patients post infection. It is also not known whether patients post other viral pneumonias such as influenza would cause similar abnormalities on XeMRI, although the specific profile of the SARS-CoV-2 virus in comparison to other viruses causing respiratory infection suggests that this is unlikely.

The XeMRI technique we have used has been previously reported (14), and demonstrates good reproducibility for patients and volunteers (0.82 and 0.88, respectively) (24). Using the healthy volunteers as a comparator group, our results to are similar to the published literature (14). The low RBC:TP we are reporting is similar to reports in patients with interstitial lung disease such as idiopathic pulmonary fibrosis but these patients have significantly abnormal CT scans (14), whereas here we demonstrate damage effectively only seen using XeMRI in patients with normal or near normal CT scans. On subjective assessment, our patients demonstrated normal ventilation on XeMRI confirming that the main abnormality and damage caused by the SARS-CoV-2 virus is in areas of pulmonary gas exchange and is present diffusely throughout the lungs as shown by the wide coefficient of variation.

The DLCO results did not correlate with the RBC:TP imaging results (r = −0.08, p = 0.86) and were within the normal ranges for our patients. This suggests that XeMRI is potentially a more sensitive technique in detecting pulmonary damage from COVID-19 pneumonia than lung function tests including DLCO and may be better placed to explain breathlessness in patients with Long COVID, specifically in those with normal or near normal CT scans.

Our study is limited by the small sample size for both patient and volunteer groups, however it is worth noting that our findings were consistent across all patients. It is also important to note that the patients included did not have severe COVID-19 pneumonia requiring ventilation or prolonged ITU stays, and only two had pulmonary emboli identified when an in-patient, suggesting that the damage detected is due to the virus and not secondary to superadded infection, trauma from ventilation, or pulmonary embolic disease. Another limitation of the study here is the small, non-age matched control group, however in a larger study in healthy controls, age range 30-65 years, median age 38 years (14) using the exact same pulse sequence and model of RF coil and MRI scanner, a mean RBC:TP of 0.47 was found, which is consistent with this study. Age causes only a modest reduction in DLco rather than the larger reduction in the RBC:TP that we are reporting here post COVID (25,26). Although smoking is known to reduce DLco (27), it is of note that one of the two participants with a smoking history in this study had a higher DLco than some of the non-smoking participants. It will be important for future work to compare patients with different disease status post COVID infection such as those that have fully recovered, those post-ITU discharge, those with proven embolic disease, and an age matched healthy control group with a larger cohort of the population we have studied. It will also be important to identify whether the abnormalities detected correlate with clinical symptoms.

Although our small study did not recruit from long-COVID clinics, the results suggest that hyperpolarized Xenon MRI may be a potentially useful imaging modality in dyspneic patients with Long-COVID, following hospital discharge at a mean of 3 months for COVID-19. XeMRI appears to provide an explanation for patient symptoms not explained by other clinical data or imaging techniques, does not pose a radiation burden to the patient and can be completed in a single breath hold. XeMRI may also provide information on the extent to which gas exchange units in the lungs are affected, their duration and the time it takes for regeneration and recovery to occur.

Footnotes

Funding: Dr Grist is funded by the Biomedical Research Centre, Oxford. LPH is supported in part by the NIHR Biomedical Research Centre, Oxford. Collier and Wild are funded by MRC grant MR/M008894/1. Dr Betty Raman is funded by the British Heart Foundation Oxford Centre for Research Excellence (RE/18/3/34214).

This work was supported by the National Consortium of Intelligent Medical Imaging through the Industry Strategy Challenge Fund, Innovate UK Grant 104688.

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