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 performed
intravoxel incoherent motion(IVIM), arterial spin labeling(ASL) and T1
mapping MR imaging in 62
renal allograft recipients to determine the diagnostic
values of each parameter in renal allograft function evaluation. We found that cortical ADC, ADCslow, ADCfast, PF
and RBF were lower for allografts with impaired function than with good
function, and T1 values were higher for allografts with impaired
function than with good function (P <0.05).
ADC derived from IVIM and RBF derived from ASL showed a higher diagnostic
efficacy to discriminate between allografts with impaired function and
allografts with good function. Purpose
Monitoring
the renal allograft function at an early stage after transplantation is
important to ensure a successful outcome of renal transplantation [1]. In this
study, we performed IVIM, ASL and T1 mapping to assess the renal
allografts function at an early stage after transplantation, and compared the
diagnostic value of the derived MR parameters in renal allografts function evaluation.
Methods
This
prospective study was approved by the local ethics committee, and written
informed consent was obtained from all participants. A total of 82 participants,
including 62 renal allograft recipients (2-4 weeks after kidney
transplantation) and 20 volunteers received MR imaging on a 3T MR scanner (MAGNETOM
Trio, a Tim system, Siemens Healthcare, Erlangen, Germany). Recipients were
divided into two groups with good or impaired renal function according to the
estimated glomerular filtration rate (eGFR) with a threshold of 60 ml/min/1.73m2.
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, and a full bi-exponential fitting
was used to calculate ADCslow, ADCfast and PF and a
single-exponential fitting was used to calculate ADC. 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
image. T1 mapping was also acquired using a modified look-locker
inversion-recovery (MOLLI) sequence. Cortical ADC, ADCslow, ADCfast,
PF, RBF and T1 values were compared among three groups by one-way
ANOVA with Bonferroni post-test. The correlation of ADC, ADCslow,
ADCfast, PF, RBF and T1 values with eGFR in recipients was
evaluated using Pearson correlation analysis.
Receiver operating characteristic (ROC) curve analysis was performed to assess
the diagnostic efficacy of each parameter to discriminate allografts with
impaired function from good function. P <0.05
was considered statistically significant.
Results
In
allografts with good function cortical ADC, ADCslow, ADCfast,
PF showed no significant difference compared with healthy controls(P >0.05), but cortical RBF was lower
than healthy controls(P <0.001), and
cortical T1 values were higher than healthy controls(P <0.001).Cortical ADC, ADCslow,
ADCfast, PF and RBF were lower for allografts with impaired function
than with good function, and T1 values were higher for allografts
with impaired function than with good function (P <0.05; Figure 1). Cortical ADC, ADCslow, ADCfast,
PF and RBF had a significant positive correlation with eGFR, and T1
values had a significant negative correlation with eGFR (P <0.01 for all; Figure 2). Comparing the diagnostic value of each
parameter, cortical ADC and RBF showed a higher area under the ROC curve (AUC)
(0.81 and 0.77 respectively) than ADCslow, ADCfast, PF
and T1 values (0.72, 0.66, 0.72 and 0.68 respectively), but without
significant difference (P>0.05; Figure 3).
Conclusion and discussion
Multiparametric
MR imaging can provide valuable information of renal
allograft function at an early stage after kidney transplantation. Both
diffusion and perfusion were decreased in renal allografts with impaired
function. ADC derived from IVIM and RBF derived from ASL showed a higher
diagnostic efficacy to discriminate between allografts with impaired function and
allografts with good function.
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
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