El-Sayed H. Ibrahim1, Abdul Parchur1, Srividya Kidambi1, Mingyu Liang1, and Allen Cowley1
1Medical College of Wisconsin, Milwaukee, WI, United States
Synopsis
Keywords: Kidney, Hypertension
T2*-based blood oxygenation level-dependent (BOLD) MRI has been used to
investigate renal metabolism in the rat’s kidney, which is typically conducted
on high-field small-animal MRI scanners. However, T2* is very small at
high-field strength, e.g., 9.4T, which results in borderline signal-to-noise
ratio and questions the measurements accuracy. In this study, we investigated
the capability of BOLD imaging of the rat’s kidney on a clinical 3T MRI
scanner, where T2* is much higher, and compared the results to those acquired on
9.4T small-animal scanner. The results showed the capability for distinguishing
different oxygenation levels in the kidney on clinical 3T scanners.
Introduction
About 70% to
90% of the oxygen consumed by the kidney is used to support renal tubular
transport which plays an essential role in the regulation of fluid and
electrolyte homeostasis and blood pressure. Increased renal tubular fluid and
sodium reabsorption contribute to the development of hypertension in a variety
of settings. Enhanced sensitivity of blood pressure to a salty diet in animal
models is associated with abnormal mitochondrial function and substrate
utilization in the kidney. Therefore, T2*-based
blood oxygenation level-dependent (BOLD) MRI can be used to investigate renal
metabolism in the rat’s kidney, which is typically conducted on high-field
small-animal MRI scanners. However, T2* values are very small at high-field
strength, e.g., 9.4T, which results in borderline signal-to-noise ratio (SNR)
and questions the measurements accuracy. In this study, we investigated the
capability of BOLD imaging of the rat’s kidney on a clinical 3T MRI scanner,
where T2* is much larger with a higher dynamic range, and compared the results
to those acquired on a 9.4T small-animal scanner. Methods
Six Sprague-Dawley rats fed a normal 1% NaCl
diet were included in this study. Three rats were scanned on a 9.4T
small-animal MRI scanner with a 30-cm bore diameter (Bruker, Ettlingen,
Germany) using a 4-element surface coil positioned at the kidney level adjacent
to the right kidney. The three other rats were scanned on a Premier 3T clinical
MRI scanner (GE Healthcare, Waukesha, WI) using an 8-channel wrist coil to
acquire coronal images. The rats were imaged under continuous delivery of
anesthesia via a nose cone with 2-2.5% isoflurane. After scout imaging,
T2*-based BOLD images were acquired using echo-planar imaging (EPI) and
multi-echo gradient-echo sequences on the 9.4T scanner and using segmented
gradient-echo (GRE) sequence on the 3T scanner. The optimized imaging parameters
for the 9.4T EPI sequence were: repetition time (TR)=3s, three echoes acquired with echo times
(TE)=16.6, 33.1, and 49.6 ms, flip angle=90°, matrix=96×96, field-of-view
(FOV)=60×60mm2, slice thickness=1mm, acquisition bandwidth=3125
Hz/pixel, #averages=1. The optimized imaging parameters for
the 9.4T multi-echo gradient-echo sequence were: TR=2s, six echoes acquired with TE=4-31ms with
equal increments of 5.5ms, flip angle=50°, matrix=176×176, FOV=60×60 mm2,
slice thickness=1mm, acquisition bandwidth=426 Hz/pixel, #averages=2. The optimized imaging parameters for the 3T segmented GRE sequence
were: TR=43.1s,
eight echoes acquired TE=5.5-39ms with equal increments of 4.8ms, flip angle=20°,
matrix=200×200, FOV=120×120mm2, slice thickness=1.8mm, acquisition
bandwidth=122 Hz/pixel, #averages=2. The T2*-weighted images were analyzed
using the Circle cvi42 analysis software. Data from the images at different
echo times were fitted to a monoexponentially decaying function, from which pixel-wise
T2* values were measured to generate color-coded T2*-based BOLD maps. SNR was
measured in all images as the ratio between mean signal intensity in the whole kidney
divided by standard deviation of background noise. Student’s t-test was used to
compare measurement differences between different sequences. P<0.05 was
considered significant.Results
Figure 1 shows the
resulting EPI and gradient-echo BOLD images from the 9.4T scanner, while Figure
2 shows the resulting images from the 3T scanner. T2* measurements in the
kidney (mean±SD) were 8±2, 13.7±1.5, and 32.7±9.8ms in the 9.4T EPI, 9.4T GRE,
and 3T GRE images, respectively. SNR measurements were 1.2±0.2, 2.8±0.1, and
6.6±2.2 in the 9.4T EPI, 9.4T GRE, and 3T GRE images, respectively. Both GRE
sequences showed significant differences in SNR compared to the EPI sequence.
Although SNR was higher in the 3T GRE sequence compared to the 9.4T GRE
sequence, the difference was not significant (P=0.09). The low SNR in the 9.4T
EPI sequence resulted in T2* values that are comparable to the noise level,
which affected the usefulness of the acquired BOLD image. With improved SNR in
the GRE sequence, more details could be visualized in the BOLD map, for example
the gradient in tissue oxygenation between cortex and medulla in Figure-1. This
could also be appreciated in the 3T GRE sequence where the T2* values are much
higher than the background noise, which allows for distinguishing different
oxygenation levels in different regions of the kidney (Figure-2). Although
spatial resolution was lower on the 3T scanner compared to 9.4T scanner, the
kidney could still be easily visualized and contoured in the 3T BOLD map. Discussion and Conclusions
Alternations of renal metabolism may be linked to the progressive
reduction of renal oxygenation as uncoupling of oxidative phosphorylation
occurs with high salt feeding. The measurement of such sequential changes in
tissue oxygenation of the same animal has not been previously possible due to
the invasive nature of the techniques traditionally utilized. With the
availability of MRI BOLD imaging, such longitudinal studies could be achieved.
However, T2*-based BOLD imaging at 9.4T results in very small T2* values that
are comparable to the background noise level, which affects the measurements
accuracy and usefulness. Therefore, the possibility of acquiring adequate BOLD
images at the lower magnetic field of clinical scanners, as shown in this
study, results in higher dynamic range secondary to the increased T2* values at
the lower magnetic field. This approach provides a robust method to non-invasively
and sequentially determine the progressive effects of different interventions,
e.g., administering a high salt diet, on renal tissue oxygenation in small
animals. Acknowledgements
No acknowledgement found.References
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Dial Transplant, 33: ii22-ii28.
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Textor et al. Am J
Kidney Dis, 59: 229-237.