Pottumarthi V Prasad1, Lu-Ping Li1, Bradley Hack1, Nondas Leloudas1, and Stuart Sprague1
1NorthShore University HealthSystem, Evanston, IL, United States
Synopsis
Keywords: Kidney, Oxygenation
Kidney BOLD MRI measurements are not specific to oxygen availability especially when comparing different cohorts because R2* also depends on fractional blood volume (fBV) and hematocrit (Hct). In this study, we have estimated fBV using ferumoxytol and Hct by blood sampling. Using these we show Quantitative BOLD MRI can characterize oxygen availability in quantitative terms. For the first time, we show that kidney cortex is normoxemic in healthy controls while moderately hypoxemic in CKD. Medulla is mildly hypoxemic in controls while moderately hypoxemic in CKD.
INTRODUCTION
Blood oxygenation level dependent (BOLD) MRI
uses hemoglobin (Hb) as a reporter of oxygen status and has been shown to be
useful in the evaluation of relative
oxygenation availability of the kidneys non-invasively over two decades ago [1]. BOLD MRI contrast is inherently sensitive to the
amount of deoxyhemoglobin within each voxel [2], which in turn is determined by the fractional blood
volume (fBV), i.e. fraction of tissue
made up of blood, hematocrit (Hct) or fraction of the blood made up of red
blood cells, and how well the hemoglobin
is oxygenated or oxygen saturation of blood (StO2). Hence R2*, currently used BOLD MRI parameter is not specific to StO2. The effects of reduced fBV and Hct have an
opposite effect on R2* compared to reduced StO2, i.e. while reduced fBV and Hct would decrease R2*, reduction in
StO2 will increase R2*. Since all three could
be reduced in CKD, the net effect on R2* may be compromised leading to minimal
change in R2* observed with disease severity.
In this study, we have adapted the method previously
used in rat brains [3] and kidneys [4] to human kidneys and have demonstrated the
feasibility of estimating StO2 and bloodPO2 in the kidney cortex and medulla in
a small number of healthy volunteers and individuals with CKD. We used ferumoxytol to measure fBV and used a
measure of Hct in peripheral blood to estimate cortical and medullary Hct based
on prior literature.MATERIALS AND METHODS
Participants: All procedures were
performed with approval from the institutional review board and
written consent from each of the participants.
15 subjects participated with 9 healthy controls and 6 individuals with
CKD and diabetes. Among the controls,
one participant did not complete imaging acquisitions and another one had
inadequate image quality and were not included in the analysis. All patients with CKD were either stage III
or IV. Table 1 summarizes of
participants’ demographic information inlcuding eGFR estimates based on both
creatinine and Cystatin-C using CKD-EPI equations.
MRI Methods:
Participants were instructed to fast overnight
before coming for the MRI scans performed in the morning. They were also asked to refrain from using
non-steroidal anti-inflammatory drugs (NSAIDs) for three days prior to the
scheduled MRI scans.
All MRI data was acquired on
a 3.0 T whole body scanner (Magnetom Skyra-Fit, Siemens Healthcare, Erlangen,
Germany). R2* mapping data was
acquired using breath-hold multiple gradient echo (mGRE) sequence and R2
mapping data was acquired with a breath-hold multiple TE turbo spin echo
sequence.
After baseline R2*
images were acquired using a mGRE sequence (R2* Map_pre
in Table 2), ferumoxytol (5mg/kg) was administered i.v. using a Medrad Spectris (Bayer Healthcare, NJ) MRI compatible
power injector. The dose was diluted to 100 ml in saline and was administered at a rate of 0.1 ml/s over ~ 17 minutes. Post ferumoxytol R2* maps were acquired with the
same mGRE sequence but using higher bandwidth to support shorter echo times. Table 2 summarizes acquisition parameters.
fBV and StO2 were estimated using:
$$fBV=\frac{3}{4\pi}\frac{R2^{*}(ferumoxytol)-R2^{*}(baseline)}{\gamma\cdot B_{0}\triangle\chi(ferumoxytol)}eq.1$$
where $$$\gamma$$$ is the gyromagnetic ratio, Bo is the
field strength in Tesla and $$$\triangle\chi$$$
is the
susceptibility difference due to ferumoxytol.
$$StO2 = 1-(\frac{3}{4\pi}\frac{R2^{*}-R2}{fBV \gamma \triangle\chi_{0} Hct B_{0}}) eq. 2$$
$$$ \triangle\chi_{0}$$$ is
the magnetic susceptibility difference between fully oxygenated and fully
deoxygenated hemoglobin (0.264 ppm). Using Hill’s equation [5], StO2 can be converted to bloodPO2. RESULTS
Figure
1 shows the R2* maps at baseline and post 5 mg/kg of ferumoxytol in a
representative control participant and an individual with CKD.
These
changes were used to estimate regional fBV using eq.1. Using this estimate along with baseline
regional R2* and R2 values, an estimate of regional StO2 using eq.2 and hence
bloodPO2. These
measurements are summarized in Figure 2 for the two groups of
participants.
Table 3 summarizes the Spearman correlation
coefficients for regional fBV, StO2 and bloodPO2 with eGFR and eGFR_cystatin-C, and urine albumin creatine ratio (UACR) as measures of disease severity.DISCUSSION AND CONCLUSION
The data presented here for the first time reports
kidney fBV in human kidneys, which is substantially decreased in individuals
with CKD. Most interestingly, taking fBV
in to account, the estimated StO2 and bloodPO2 indicate that kidney cortex is
normoxemic in healthy controls while moderately hypoxemic in CKD. Similarly, medulla is mildly hypoxemic in
controls and moderately hypoxemic in CKD. The main conclusion to be drawn from Table 3 is
that qBOLD parameters in cortex are associated with disease severity while BOLD
MRI parameter R2* was not.
Zhang et
al [6] had previously proposed a numerical method based on Monte Carlo
simulations to relate measured R2’ (i.e.
R2*-R2) with an estimate of StO2. However, the
report did not include an independent measure of fBV or Hct. Given that the values they assumed for cortex were consistent with our measured values, their estimate for cortical PO2 of 58 mm Hg
and StO2 of 0.92 are quite comparable to our estimates.
In conclusion, both
StO2 and bloodPO2 in both cortex and medulla were substantially lower in individuals with CKD consistent
with chronic hypoxia hypothesis [7]. Acknowledgements
Work supported by a grant from the National
Institutes of Health, R21-DK079080. We thank Covis Pharma for providing us ferumoxytol
for this study. References
- Prasad PV, et al., Circulation. 1996;94(12):3271-3275.
- Ogawa S, et al, Proc Natl Acad Sci U S A. 1990;87(24):9868-9872.
- Christen T, et al, Magn
Reson Med. 2012;67(5):1458-1468.
- Pohlmann A, et al. Tomography. 2017;3(4):188-200.
- Severinghaus JW. Journal
of applied physiology: respiratory, environmental and exercise physiology. 1979;46(3):599-602.
- Zhang JL, et al. Am J Physiol
Renal Physiol. 2014;306(6):F579-587.
- Fine LG, et al. Kidney Int Suppl. 1998;65:S74-78.