Rajiv S Deshpande1, Michael C Langham1, Cheng-Chieh Cheng1, and Felix W Wehrli1
1University of Pennsylvania, Philadelphia, PA, United States
Synopsis
Keywords: Oxygenation, Kidney, metabolic rate of oxygen
Kidney oxygen consumption rate
increases during the early stages of diabetes, ultimately leading to hypoxia of
renal tissue. Thus, a reliable non-invasive approach to quantify kidney
metabolism has significant clinical potential. Here, an approach to quantify the
kidney oxygen utilization of both kidneys is reported. The method relies on the
MOTIVE-bSSFP pulse sequence to measure SvO
2 and blood flow rate in
the inferior vena cava, above and below the branching of the renal vessels. Conservation
of mass yields an expression to compute bilateral renal metabolic rate of
oxygen.
Introduction
Kidney oxygen utilization increases
by 40-65% during the early stages of diabetic kidney disease (1-3). The mismatch in oxygen supply and consumption ultimately
leads to hypoxia of the kidney tissue. Thus, quantification of whole-organ renal
metabolic rate of oxygen (rMRO2) is a potentially valuable biomarker
of kidney function before irreversible damage occurs. rMRO2 is
quantified by Fick’s Principle with measurements of blood flow rate in the inflowing
artery and blood oxygenation level (SvO2) in the draining vein (4). Our group has reported the “Metabolism
of Oxygen via T2 and Interleaved Velocity Encoding” (MOTIVE) pulse
sequence, which measures blood flow rate and SvO2 in a single pass
in under 20 seconds (5). We have previously quantified
individual whole-organ rMRO2 by measuring SvO2 and blood
flow rate at an oblique cross-section of the kidney’s vasculature (6). We have also proposed a preliminary
quantification of bilateral whole-organ rMRO2 with measurements at
suprarenal and infrarenal locations (7). In the present study, however, the
MOTIVE sequence includes a T2-prepared bSSFP readout (8) (MOTIVE-bSSFP) for higher SNR
efficiency and improved visualization of abdominal vasculature to quantify bilateral
kidney oxygen consumption (rblMRO2). Methods
Renal metabolic rate of oxygen is quantified with Fick’s Principle: $$$rMRO_2 = (C_a)(\frac{Q}{mass})(SaO_2 - SvO_2)$$$, where Ca is the concentration of oxygen in blood (9)),
Q is blood flow rate, kidney mass is calculated from volume with a density of
1.06g/mL (10), and SaO2 is assumed to be 98%.
Quantification of bilateral
rMRO2 (derivation in our previous work (7)) follows from Equation 1:
$$r_{b.l.}MRO_2 = (C_a)\left(\frac{Q_A^s - Q_A^i}{mass}\right)\left(SaO_2 - \left(\frac{ (Q_V^s \cdot SvO_2^s) - (Q_V^i \cdot SvO_2^i) }{Q_V^s - Q_V^i}\right)\right) $$
where $$$ Q_A^k $$$ and $$$ Q_V^k $$$ represent blood flow rate in the aorta (A) and inferior vena cava (V) at each location (k = s, suprarenal; k = i, infrarenal). $$$SvO_2^k$$$ represents the venous oxygen saturation in the inferior vena cava at each location (k = s, i). The method is illustrated in Figure 1. After
assuming that total renal arterial inflow is equal to total renal venous
outflow, namely, $$$Q_A^s - Q_A^i = Q_V^s - Q_V^i$$$, the equation is recast as Equation 2:
$$ r_{b.l.}MRO_2 = \left(\frac{C_a}{mass}\right)\left( (Q_V^s \cdot AVDO_2^s) - (Q_V^i \cdot AVDO_2^i)\right) $$
where, $$$ AVDO_2^k = SaO_2 - SvO_2^k $$$, is the arteriovenous oxygen saturation difference at each location (k = s, i). The simplified equation was adopted for
rblMRO2 computation.
MOTIVE-bSSFP was implemented above and
below the renal vessels to measure blood flow and SvO2.
The pulse sequence interleaves an ungated golden-angle radial velocity encoding
module before a background-suppressed, T2-prepared bSSFP readout. T2
is converted to SvO2 via calibration model (11). The pulse sequence timing diagram and parameters are provided
in Figures 2 and 3. The sequence duration is 18 seconds,
permitting a breath-held acquisition. Three repetitions at each location (six
total breath holds) were acquired to assess intrasession reproducibility.
Five healthy subjects (3F, 26±3 years)
were recruited for imaging at 3T (Siemens Prisma) with body flex array and
spine coils. Results
Across all subjects, the
average SvO2 in the suprarenal and infrarenal IVC was 77±4% and 65±5%, respectively. The average blood flow rate in the suprarenal and
infrarenal IVC was 230±50 mL/min/100g and 500±150 mL/min/100g, respectively.
The difference in these flow rates indicates that the venous outflow from both
kidneys is 270±10 mL/min/100g. Taken together, the suprarenal and infrarenal
SvO2 values and IVC blood flow rates imply that the flow weighted
average SvO2 from both renal veins is 88±4%. This is calculated from
the venous flow weighted expression for SvO2 in Equation 1.
Quantification of bilateral
renal MRO2 follows from Equation 2 and yielded an average rblMRO2
of 200±60 μmol O2/min/100g. Representative
images in one subject are shown in Figure 4. Renal metabolic parameters and
a preliminary analysis of error propagation are presented in Figure 5. Discussion
The quantified SvO2
and blood flow rates in the IVC fall within an expected range. For
instance, the SvO2 increases from 65% to 77% after the renal vessels
drain into the IVC, resulting in an average renal vein SvO2 of 88%. The
renal veins are known to be highly oxygenated (12). Prior preliminary work by our group found
an average renal vein SvO2 of 81% (6). Future work includes directly
measuring SvO2 and flow rate in each individual renal vessels for validation.
The expression for rblMRO2
comprises multiple parameters, and error propagation may be a concern. Figure
5E relates the S.D. of AVDO2 and blood flow rate to that of rblMRO2.
This study relied on a
simplification that total renal arterial inflow is comparable to total renal venous
outflow. Prior studies (13,14) have found that this is a reasonable assumption. Since the
velocity encoding module in MOTIVE is ungated, flow measurements in the
pulsatile aorta may be less reliable. Thus, obtaining measurements entirely in
the IVC – as in the presently proposed approach – may be preferable. However, this
will need to be tested. Conclusion
The proposed method enables
quantification of bilateral kidney oxygen utilization with measurements of SvO2
and blood flow rate at suprarenal and infrarenal locations. The renal metabolic
parameters reported in this study are plausible. Future work will validate the
bilateral approach against individual whole-organ renal MRO2. Acknowledgements
This work was supported by
NIH Grants T32EB020087, F30DK130510, P41EB029460, and UL1TR001878.References
(1) Korner A, Eklof AC, Celsi G, Aperia A.
Increased renal metabolism in diabetes. Mechanism and functional implications.
Diabetes 1994;43(5):629-633.
(2) Nordquist L, Friederich-Persson M,
Fasching A, Liss P, Shoji K, Nangaku M, Hansell P, Palm F. Activation of
hypoxia-inducible factors prevents diabetic nephropathy. J Am Soc Nephrol
2015;26(2):328-338.
(3) Friederich-Persson M, Persson P,
Hansell P, Palm F. Deletion of Uncoupling Protein-2 reduces renal mitochondrial
leak respiration, intrarenal hypoxia and proteinuria in a mouse model of type 1
diabetes. Acta Physiol (Oxf) 2018;223(4):e13058.
(4) Kety SS, Schmidt CF. The Effects of
Altered Arterial Tensions of Carbon Dioxide and Oxygen on Cerebral Blood Flow
and Cerebral Oxygen Consumption of Normal Young Men. J Clin Invest
1948;27(4):484-492.
(5) Deshpande
RS, Langham MC, Cheng CC, Wehrli FW. Metabolism
of oxygen via T2 and interleaved velocity encoding: A rapid method to quantify
whole-brain cerebral metabolic rate of oxygen. Magn Reson Med
2022;88(3):1229-1243.
(6) Deshpande RS, Langham MC, Wehrli FW.
Quantification of renal metabolic rate of oxygen. Proc Intl Soc Mag Reson Med Workshop on
Kidney MRI Biomarkers, September 9-11, 2021; Philadelphia, PA.
(7) Deshpande
RS, Langham MC, Cheng C, Wehrli FW. Quantification
of bilateral whole-organ renal metabolic rate of O2 by exploiting conservation
of flow and mass principle: a preliminary study. 2022 May 7-12; ISMRM, London,
England, UK.
(8) Cheng C, Wu P, Langham MC, Wehrli FW.
Simultaneous measurements of blood flow and blood water T2: a general-purpose
sequence for T2-based measurement of whole-organ O2 consumption. 2020 August
8-14; ISMRM, Virtual.
(9) Yablonskiy DA, Sukstanskii AL, He X.
Blood oxygenation level-dependent (BOLD)-based techniques for the
quantification of brain hemodynamic and metabolic properties - theoretical
models and experimental approaches. NMR Biomed 2013;26(8):963-986.
(10) Allen TH, Krzywicki HJ, Roberts JE.
Density, fat, water and solids in freshly isolated tissues. J Appl Physiol
1959;14:1005-1008.
(11) Li W, van Zijl PCM. Quantitative theory
for the transverse relaxation time of blood water. NMR Biomed 2020;33(5):e4207.
(12) Bishop JM, Wade OL, Donald KW. Changes in
jugular and renal arteriovenous oxygen content difference during exercise in
heart disease. Clin Sci 1958;17(4):611-619.
(13) Cox EF, Buchanan CE, Bradley CR,
Prestwich B, Mahmoud H, Taal M, Selby NM, Francis ST. Multiparametric Renal
Magnetic Resonance Imaging: Validation, Interventions, and Alterations in
Chronic Kidney Disease. Front Physiol 2017;8:696.
(14) Sommer
G, Noorbehesht B, Pelc N, Jamison R, Pinevich AJ, Newton L, Myers B. Normal
renal blood flow measurement using phase-contrast cine magnetic resonance
imaging. Invest Radiol 1992;27(6):465-470.