Bin Zhang1, Long Liang1, Yuhao Dong1, Kannie W.Y. Chan2, Guanshu Liu2, Changhong Liang1, and Shuixing Zhang1
1Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, China, People's Republic of, 2Russell H. Morgan Department of Radiology and Radiological Sciences, Division of MR Research, The Johns Hopkins University School of Medicine, Baltimore 21287, USA, Baltimore, AL, United States
Synopsis
Contrast-induced acute kidney injury (CI-AKI) is a common
iatrogenic event caused by the injection of iodinated contrast agent, and
remains the third major source of in-hospital acquired acute renal failure.The
objective of our study is to examine the feasibility of using Intravoxel
Incoherent Motion (IVIM) MRI to simultaneously measure the pathological changes
in kidney diffusion and perfusion in the course of CI-AKI. Our results showed that the kidney perfusion
and diffusion as measured by IVIM are well-correlated with those measured using
conventional methods, indicating IVIM MRI can be used as an effective tool for
the diagnosis and staging of CI-AKI. Purpose: To examine
the feasibility of using intravoxel incoherent motion (IVIM) MRI to measure the
changes in kidney diffusion and perfusion in the course of contrast-induced
acute kidney injury (CI-AKI).
Methods: The institutional
research ethics committee approved this study.Twenty-seven rats received 2.22 g/kg
Meglumine Diatrizoate to induce CI-AKI. IVIM MRI was performed on CI-AKI rats (n=6) before and after
the onset using a GE 3.0 T MRI scanner. The IVIM DWI was performed using a
single-shot diffusion-weighted spin-echo EPI (ten b values: 0, 20, 40, 60, 80,
100, 200, 400, 500 and 600 s/mm2). The lookup table of gradient
directions was modified to allow multiple b value measurements in one series. A
local shim box covering the kidney region was applied to minimize
susceptibility artifacts. The DWI data set was either to fit conventional mono-exponential
diffusion model to calculate ADC values or to fit the bi-exponential IVIM model
to calculate parameters including pure diffusion coefficient D, pseudo-diffusion
coefficient D* and microvascular volume fraction f. All
results are reported as mean ± SD. All data were analyzed
using SPSS 20.0 (SPSS Inc, Chicago, IL, USA). Two Way Repeated Measures ANOVA
and Least Significant Difference (LSD) method for further comparisons between
specific group pairs were used. P < 0.05 was considered
statistically significant. The Spearman correlation coefficients were
calculated to determine the correlation between ADC and D. Histology. Three rats were sacrificed for histological
assessment at each time point (total n=21). The pathological images of H&E staining from the right
kidney were obtained at 24 h pre-injection and at 12 , 24 , 48 , 72 , and 96 h
after the injection of contrast agent.
Results: As
shown in Figs. 1a-d, we successfully applied IVIM model to calculate both
diffusion and perfusion parameters in the right kidney. Our data shows there is
a good correlation between the calculated ADC and D for CO (r =0.775, P <
0.0001), OM (r =0.874, P < 0.0001), IM (r =0.866, P < 0.0001), and for
all the regions (r =0.857, P < 0.0001) measured in the present study. The decrease in kidney diffusion first
progresses with time, and then reverses at around 48 h. The maximal decrease of
the diffusion in CO was at 48 h as compared to its baseline value, i.e.,
∆D=25.8% (P < 0.0001) and ∆ADC= 28.2% (P < 0.0001). A similar pattern of
decrease and recovery of tissue diffusion was observed in OM and IM.
Interestingly, the time to the maximal decrease in the medulla (72 h) is later
than that in cortex (48 h). Similar to the pattern of changes in tissue
diffusion, all the perfusion-related parameters first decreased and then
recovered. In particular, as shown in Figure 4a, the f values in both the
cortex and medullar were markedly reduced (33.0%, 31.4% and 39.0% for CO, IM
and OM respectively) in the first 48 h, then recovered slowly back to 89.7%,
93.8%, and 96.3% of the baseline value by the end of MRI measurement (96 h).
The D* values were also markedly reduced (46.1%, 36.2% and 42.1% for CO, IM and
OM respectively) but reached their maximum at an earlier time point (i.e. 24
h), then recovered slowly back to 85.6%, 100.0%, and 78.5% of the baseline
value by the end of MRI measurement (96 h). We further compared the perfusion
and diffusion changes in different parts of kidney (Figure 5a-c). The changes
in ADC, D* and D progressed at almost identical pace in CO, but not in OM and
IM. The change in D* was similar in different parts of kidney. All parameters
significantly decreased in the first 12 h. D* had the highest degree of signal
change (~ 31.4%) in the first 12 h, and in the fist 24 h (~ 42.5%). D* is the
most sensitive parameter that showed a recovery at as early as 24 h. The D, D*, and f had no significant
differences among CO, OM, and IM (for all, P > 0.05), while the ADC values
were statistically different between CO and OM (P = 0.394).
Conclusion: our
study demonstrates the feasibility of using IVIM MRI to monitor the progress of
CI-AKI in an animal model, implying that IVIM is a useful biomarker in the
diagnosis and staging of CI-AKI. Considering IVIM MRI technique has been
implemented in the clinical regimes, our approach can be quickly translated to
the patient study for monitoring renal pathophysiologic alternations after the
administration of iodinated contrast agent, which will greatly benefit elderly
patients or patients with pre-existing kidney insufficiency and diabetes.
Acknowledgements
No acknowledgement found.References
No reference found.