Tao Ren1, Pan-Li Zuo2, Thorsten Feiweier3, Niels Oesingmann4, Andre-de Oliveira3, Li-Hua Chen5, Cheng-Long Wen5, and Wen Shen5
1Radiology, Tianjin Medical University First Center Hospital, Tianjin, China, People's Republic of, 2Beijing, China, People's Republic of, 3Erlangen, Germany, 4New York, NY, United States, 5Tianjin, China, People's Republic of
Synopsis
We
collected 20 volunteers and 62 renal allograft recipients who underwent intravoxel
incoherent motion (IVIM) and arterial spin labeling (ASL) MRI. Comparing
cortical perfusion indices, ADCfast and PF derived from IVIM with
RBF derived from ASL in native and transplanted kidneys. We found that mean
cortical RBF exhibited a significant correlation with PF (R =0.50, P <0.05) in the native
kidneys, but both with ADCfast (R =0.26, P <0.05) and PF (R =0.32, P
<0.05) in renal allografts. ADCfast and PF are effective indices
for monitoring renal perfusion, as well as RBF.Purpose
Microvascular blood flow plays an
important role in regulating renal perfusion. Intravoxel incoherent motion
(IVIM) and arterial spin labeling (ASL) are two MRI techniques to measure the
blood perfusion without contrast injection. The purpose of this study was to
compare cortical perfusion indices, pseudo-diffusion coefficient (ADCfast)
and perfusion fraction (PF) derived from IVIM with renal blood flow (RBF) derived
from ASL in native and transplanted kidneys.
Methods
The study was approved by the local
ethics committee, and written informed consent was obtained from all
participants. 20 volunteers and 62 renal allograft recipients 2-4 weeks after
kidney transplantation underwent IVIM and ASL MRI on a 3T MRI (MAGNETOM Trio, a
Tim system, Siemens Healthcare, Erlangen, Germany). IVIM was acquired using a
prototype single-shot echo planar imaging (ss-EPI) sequence with 11 b values of
0, 10, 20, 40, 60, 100, 150, 200, 300, 500 and 700 s/mm2 on 3
gradient directions, TE/TR of 72.4/1600 ms, voxel size of 1.8´1.8´5 mm3,
and a full bi-exponential fitting was used to calculate true diffusion
coefficient (ADCslow), ADCfast, and PF. ASL was performed
using a prototype flow-sensitive alternating inversion recovery (FAIR) trueFISP
sequence with a TI of 1200 ms for perfusion images and a TI of 4000 ms for M0
images with TE/TR of 2.24/4.48 ms, FA of 70 degrees and voxel size of 2.3´2.3´5 mm3.
T1 maps were acquired using a modified look-locker
inversion-recovery (MOLLI) sequence with corresponding slice parameters to
calculate the RBF. The correlation between cortical ADCfast, PF with
RBF, and their correlation with estimated glomerular filtration rate (eGFR) were
estimated by Pearson correlation analysis
in the native and transplanted kidneys. P
<0.05 was considered statistically significant.
Results
Color maps of ADCfast, PF and
RBF for a native kidney (A) and a transplanted kidney (B) are shown in Figure 1.
Mean cortical RBF exhibited a significant correlation with PF (R =0.50, P <0.05), but not with ADCfast in
the native kidneys (Figure 2.A). Both ADCfast (R =0.26, P <0.05, Figure 2.B) and PF (R =0.32, P <0.05, Figure 2.C) exhibited a
correlation with RBF in renal allografts. Cortical ADCfast, PF and
RBF showed a positive correlation with eGFR for recipients (R=0.36, 0.45 and
0.60 respectively, P <0.01 for all).
Discussion
IVIM DWI estimates the tissue perfusion
and diffusion at the same time. ADCfast provides a macroscopic
description of the incoherent movement of blood in the microvasculature compartment,
and PF describes the fraction of incoherent signal that arises from the vascular
compartment in each voxel over the total incoherent signal. Theoretically, ADCfast
might be considered as a measure of mean transit time, and PF as the flow
volume in terms of the classical perfusion parameters [1]. Further experiments
indicated that the ADCfast might reflect the true flow better. As shown
in this study, PF has a strong correlation with RBF in
both native and transplanted kidneys, while ADCfast has a strong correlation
with RBF only in transplanted kidneys. ADCfast, PF and RBF all had a
significant correlation with eGFR, showing the potential to detect differences
in renal function for allografts.
Conclusion
ADCfast and PF derived from
IVIM are effective indices for monitoring renal perfusion, as well as RBF
derived from ASL.
Acknowledgements
We thank Pan-Li Zuo, Thorsten Feiweier, Niels Oesingmann, and Andre-de Oliveira for their technical assistance and suggestions to improve our manuscript. References
[1] Le Bihan D,
Turner R. The capillary network: a link between IVIM and classical perfusion.
Magn Reson Med.1992; 27: 171-178.