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Frontal-specific elevation of cerebral oxygen extraction fraction in COVID-19 ICU survivors: a pilot study
Dengrong Jiang1, Hannah Rando2, Shivalika Khanduja2, Jie Song3, Kaisha Hazel1, George Pottanat1, Ebony Jones1, Cuimei Xu1, Wen Shi4, Zhiyi Hu4, Doris Lin1, Sevil Yasar5, Sung-Min Cho2, and Hanzhang Lu1
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Biomedical Engineering, Johns Hopkins University School of Engineering, Baltimore, MD, United States, 4Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Synopsis

Keywords: Infectious disease, COVID-19

Compared to patients with mild COVID-19 disease, critically ill patients requiring intensive-care-unit (ICU) admission are at higher risk of developing post-acute COVID-19 syndrome (PCS). The mechanisms underlying PCS are under investigation and may involve neurovascular damage, which can disrupt oxygen delivery and utilization in the brain. Cerebral oxygen-extraction-fraction (OEF) is an important parameter for the brain’s oxygen utilization. In this work, we evaluated the post-acute changes of regional OEF in COVID-19 ICU-survivors, and found that ICU-survivors had significantly increased OEF in the frontal lobe compared to controls. This suggests that regional OEF may provide a sensitive biomarker in studying PCS.

INTRODUCTION

Post-acute COVID-19 syndrome (PCS), characterized by persistent symptoms and/or long-term complications beyond 4 weeks from the onset of symptoms, is highly prevalent and has received growing attention.1 In particular, it has been reported that critically ill patients requiring intensive-care-unit (ICU) admission are at a higher risk of developing long-term neurological deficits and cognitive impairment, compared to those with mild COVID-19 disease.2 The mechanisms underlying PCS are still under investigation and have been suggested to involve neurovascular damage,1,3 which may disrupt oxygen delivery and utilization in the brain. Cerebral oxygen-extraction-fraction (OEF) is an important hemodynamic parameter and reflects a delicate balance between oxygen supply and consumption. Elevated OEF has been demonstrated in cerebrovascular diseases such as carotid occlusion,4 stroke,5 and Moyamoya disease.6 However, to the best of our knowledge, no study has investigated the regional OEF in COVID-19 survivors. In the present pilot study, we used a recently developed technique, accelerated-T2-relaxation-under-phase-contrast (aTRUPC) MRI,7 to evaluate the post-acute changes of regional OEF in COVID-19 ICU-survivors, in comparison with healthy controls. Alterations of regional cerebral-blood-flow (CBF) in COVID-19 ICU-survivors were also examined.

METHODS

Participants: We studied five COVID-19 ICU-survivors. The average time between ICU admission and the MRI scan was 122.6 days. For comparison, 19 age- and sex-matched healthy controls were included. The demographical and clinical characteristics of the participants are listed in Table 1. This study was IRB-approved and written informed consent was obtained from every participant.
MRI Experiments: All participants were scanned on a 3T Siemens Prisma scanner. On all subjects, regional OEF was measured by aTRUPC using the following parameters:7 2D single-slice in the mid-sagittal plane, field-of-view=200×200mm2, slice thickness=10mm, reconstructed resolution=0.8×0.8mm2, 3 effective-TEs (eTEs): 0, 40 and 80ms, velocity-encoding=15cm/s, GRAPPA=2, and scan time=2.1min.
On all COVID-19 ICU-survivors and a subset of 10 controls, regional CBF was measured using pseudo-continuous-arterial-spin-labeling (pCASL)8 with labeling-duration=1.8s, post-labeling-delay=2.2s and voxel-size=3.4×3.4×4.0mm3. 3D T1-MPRAGE with voxel-size=1.0×1.0×1.0mm3 was also acquired.
Data Processing: The aTRUPC data were processed to obtain venous oxygenation (Yv) maps in the major cerebral veins, following procedures in the literature.7 OEF maps were then computed by OEF=(Ya−Yv)/Ya×100%, where Ya was assumed to be 98%. For quantitative analyses, OEF values were extracted from six regions-of-interest (ROIs), as illustrated in Figure 1A. ROI#1-3 were placed on the frontal, middle and posterior segments of the superior-sagittal-sinus (SSS). ROI#4-6 were placed on the deep veins: straight-sinus, vein-of-Galen (GV) and internal-cerebral-veins (ICVs).
The pCASL data were processed using the ASL-MRICloud tool to obtain voxel-wise CBF maps.9 To correlate with aTRUPC OEF measurements, we calculated averaged CBF values in selected ROIs obtained from MPRAGE segmentations using the MRICloud platform.10 These CBF ROIs were chosen based on the general venous drainage territories, for example, the SSS mainly drains the neocortices while the ICVs mainly drain the basal-ganglia and thalami (BGT). Figure 1C lists the one-to-one correspondence between the CBF ROIs and the OEF ROIs.
Statistical Analysis: To investigate whether the regional OEF values differ between COVID-19 ICU-survivors and controls, linear regression analyses were conducted using OEF values of each ROI as the dependent variable and group (0=control, 1=ICU-survivors) as the independent variable, with age as a covariate. These analyses were repeated for ROI CBF values to examine CBF alterations.
In addition, we also evaluated the correlations between OEF and CBF values of each pair of ROIs (see Figure 1C).

RESULTS

Figure 1 displays aTRUPC and pCASL data of a representative COVID-19 ICU-survivor.
Table 2 summarizes the linear regression analyses for regional OEF and CBF. As shown in Figure 2, the COVID-19 ICU-survivors had an elevated OEF in the frontal SSS (P=0.045), which represents the OEF of the frontal lobe. There were trends toward higher OEF in the ICU-survivors in GV (P=0.077) and ICV (P=0.052), both representing OEF of deep brain regions including subcortical nuclei and limbic structures, although they did not reach significance level. We did not find significant differences in regional CBF values between the two groups (P>0.05), although the ICU-survivors in general had lower CBF after adjusting for age (all regions revealed negative coefficient values in Table 2).
Figure 3 illustrates the associations between regional OEF and CBF values. Significant inverse correlations were observed in each pair of OEF and CBF ROIs (P<0.05).

DISCUSSION AND CONCLUSION

In this pilot study, we observed that compared to controls, COVID-19 ICU-survivors had significantly increased OEF in the frontal lobe. This brain area is critical for high-level cognitive function such as attention and memory, which are known to manifest deficits in PCS such as brain fog and fatigue.1 Elevated OEF could be either caused by hypermetabolism (due to diminished neural computation efficiency) or impaired CBF. Our findings suggest that impaired CBF at least plays a role, because lower CBF correlated with higher OEF in our data. Although we did not find significant changes in regional CBF in ICU-survivors, the frontal region showed the greatest CBF deficit (Table 2). Furthermore, a few studies have reported that CBF in the frontal lobe, subcortical nuclei and limbic structures are reduced in severe COVID-19 patients.11,12
In summary, this study suggests that regional OEF measurement may provide a sensitive biomarker in studying long-term alterations of brain physiology and function after severe COVID-19 infection.

Acknowledgements

No acknowledgement found.

References

1. Nalbandian A, Sehgal K, Gupta A et al. Post-acute COVID-19 syndrome. Nat Med 2021;27:601-615.
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6. Watchmaker JM, Juttukonda MR, Davis LT et al. Hemodynamic mechanisms underlying elevated oxygen extraction fraction (OEF) in moyamoya and sickle cell anemia patients. J Cereb Blood Flow Metab 2018;38:1618-1630.
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Figures

Table 1. Demographical and clinical characteristics of the participants.

Figure 1. Data of a representative COVID-19 ICU-survivor. (A) aTRUPC uses phase-contrast complex subtraction between a phase reference and a flow-encoded image to yield a complex difference image, in which the static tissues are cancelled out, leaving only the blood signals in the vessels. Zoom-in views of the complex difference images are shown for all eTEs. The red contours represent the ROIs for OEF quantification. The calculated OEF map is shown on the far right. (B) pCASL CBF map of the same individual. (C) Correspondence between OEF and CBF ROIs.

Table 2. Results of linear regression analyses for regional OEF and CBF.

Figure 2. Comparison of regional OEF between control and COVID-19 ICU-survivors. Median, interquartile range, minimum and maximum of the data points are shown in the box plots. All plots have been adjusted for age.

Figure 3. Associations between regional OEF and CBF values in each pair of ROIs. Each dot represents one subject. The dashed line indicates the fitted line.

Proc. Intl. Soc. Mag. Reson. Med. 31 (2023)
1909
DOI: https://doi.org/10.58530/2023/1909