Xiaodong Zhang1, Yue Mi2, Jing Wang3, Jingyun Wu1, Rui Zhang4, Yan Sun1, Xiaoying Wang1,4, Jue Zhang4, and Hongyu An5
1Department of Radiology, Peking University First Hospital, Beijing, China, People's Republic of, 2Department of Urology, Peking University First Hospital, Beijing, China, People's Republic of, 3Center for medical device evaluation, China Food and Drug Administration, Beijing, China, People's Republic of, 4Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China, People's Republic of, 5Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
Synopsis
Quantitative measurement
of renal oxygen metabolism level is of central importance in understanding and
treating renal diseases and renal metabolic rate of oxygen (RMRO2) can
provide a valid criterion for evaluation the renal tissue oxygen metabolism level
under both normal and disease states. According to the Fick
principle of arteriovenous oxygen difference, the RMRO2 can be
estimated by using a qBOLD and ASL technique. In this study, we will
demonstrate the ability to obtain absolute quantitative RMRO2
noninvasively in normal and unilateral renal artery stenosis rabbits.Introduction
Quantitative
measurement of renal oxygen metabolism level is of central importance in understanding and
treating renal diseases. In the context of Blood Oxygenation Level Dependent
(BOLD) contrast, Gradient Echo (GRE) based sequences have been employed to
estimate the normal human renal R2* non-invasively [1]. Moreover, according to the biophysical analytical model [2], R2′ is measured by
using Asymmetric Spin Echo [3]. R2′ is linearly dependent on tissue oxygenation
[2], however, R2′ contains the contributions from multiple factors
including blood volume, oxygenation and renal tissue composition. Renal metabolic rate
of oxygen (RMRO2) is critically important to access the tissue oxygen
metabolism under both normal and disease states [4], therefore, RMRO2 able to provide
a more specific and direct evaluation of renal oxygenation. In this study, a qBOLD sequence, multi-echo gradient and spin echo (MEGSE) [5] and FAIR-ASL sequence [7], were implemented to estimate RMRO2 based on the Fick principle of
arteriovenous oxygen difference [8] as a direct indication of the renal
oxygenation level in rabbits. This approach was used to assess the RMRO2 of normal health rabbits. Furthermore, we evaluated whether the approach can reliably detect renal oxygenation changes under a pathological/physiological
condition induced by the renal acute artery stenosis.
Materials and
Methods
Ten New Zealand
rabbits weighting 2.8-3.5kg were study with an approved animal protocol by the
Ethics Committee. Left Renal Artery Stenosis (RAS) was induced surgically in
all animals. MR images were acquired on a 3.0T whole-body MR scanner (Signa
ExciteTM; GE Medical Sysgems, Milwaukee,
Wisconsin, USA)
with 8 Channel Phase Array KNEE coil in rabbits. Three sequential MR scans were acquired pre- -20 and -30,
post-RAS operation 20, 30, 40, 50, 60,70, 80 and 90 minutes respectively. T2-weighted Fast Spin Echo, qBOLD sequence (Multi-echo gradient and spin echo, MEGSE) and Arterial Spin Labeling (ASL), were acquired at all
ten time points (tps) in this sequential order. As in brain OEF
applications[4,6], a 2D multi-echo
gradient and spin echo (MEGSE) was used for the acquisition of the renal OEF
signal. FAIR-ASL was used for the acquisition of the renal RBF signal [7]. The MRI parameters for MEGSE images were: TR=1500ms; TE=56ms, # of echo
= 32, echo spacing = 3.748ms, readout bandwidth = 62.5kHz, FOV=256*256mm2,
matrix size = 128*128, slice thickness = 5mm. Free hand ROIs were defined to
encompass the renal cortex and medulla region(CORTEX, outer stripes of the outer medulla: OSOM, inner stripes of the outer medulla: ISOM and inner medulla: IM) of rabbits to obtain OEF and RBF at all ten time points. According to the Fick principle of arteriovenous oxygen difference, the
RMRO2 can be estimated [8]. Paired student t test was employed to test
whether measurements of renal RMRO2 was significantly different pre- and post renal
artery stenosis.
Results
Selection of Free hand regions of
interest (ROIs) in the representative baseline axial T2-weighted images. Red
region identify cortex, green region identify OSOM, yellow region identify ISOM,
and black region identify IM and the time scale shows the MRI protocol
performed before and after left renal artery stenosis operation was shown in Figure 1. Representative Spin Echo images and RMRO2 maps acquired pre-, post-RAS operation 30, 60
and 90 minutes in the same rabbit are shown in Figure 2. At the Post RAS time
points , RMRO2 firstly decrease and then maintain steady-state in the occluded cortex and OSOM region. As shown in Figure 3, significant reductions of RMRO2 in the renal cortex and OSOM were obtained (Cortex, RMRO2 =
890.4±420.7 baseline vs.
385.2±164.5 post-RAS 30 min,
355.3±149.4 post-RAS 60
min,
412.5±237.5 post-RAS 90 min, P < 0.05; OSOM, RMRO2 =
609.0±223.0
baseline vs.
275.0±132.9 post-RAS 30 min,
325.0±217.3 post-RAS 60 min,
200.2±80.0 post-RAS 90 min, P <
0.05), suggesting an significantly decrease of oxygen metabolism level in the cortex
and OSOM region after the renal artery stenos. In addition, RMRO2 in the ISOM and IM regions decreased slightly, but not statistically significantly.
Discussion and Conclusions
Renal artery
stenosis decreases the supply blood flow to kidney tissue and may lead to a
hypoxic state. It is expected that intra-renal RMRO2 may decrease due to
insufficient blood flow under this pathological condition. In agreement of this
concept, our results demonstrated that a consistent and significant increase of
renal RMRO2 in rabbits post renal artery stenosis, suggesting that the technique can be utilized to noninvasively detect pathophysiological changes in
intra-renal oxygen metabolism level during an acute reduction of RBF, which may be potentially
applicable in humans.
Acknowledgements
No acknowledgement found.References
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