Weizheng Gao1, Hanjing Kong1, Chengyan Wang2, Xiaodong Zhang1, Min Yang1, Xiaoying Wang3,4, and Jue Zhang1
1Peking University, Beijing, China, 2Fudan University, Shanghai, China, 3Department of Radiology, Peking University First Hospital, Beijing, China, 4Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
Synopsis
Recent
studies have demonstrated that a novel MRI imaging sequence termed psMASE,
together with hemodynamic response imaging, is able to effectively distinguish
different severities of acute renal injury. In this study, we performed
repeated scanning to verify the repeatability of the psMASE strategy.
Introduction
Our recent
studies have demonstrated that psMASE, as a novel MRI
imaging sequence, combined with gas challenge, can quantitatively
measure R2' signals in real time1. Meanwhile, the different degrees
of acute renal injury can be identified by the change of
R2’ value (dR2’) before and after gas challenge2. For further clinical
applications, it is necessary to verify the reproducibility of this method. Here,
we performed repeated scanning at a one-week interval over a 30-day period,
then Bland-Altman analysis was used to verify the
consistency of dR2' in each group.Methods
MRI Methods
Animal
experiments were performed in accordance with the guidelines and approval of
the Animal Care and Use Institutional Committee. The experimental subjects
were 24 New Zealand white rabbits that were divided into four groups. The mild,
moderate and severe acute renal injury models were
created by injecting 20,000, 40,000 and 60,000 doses of microspheres. The operation
procedure used to prepare animal models were described in the previous article3.
Each group was scanned after surgery using the psMASE sequence with alternating
room air and carbogen mixture1. The detailed scan parameters were: FOV=150×150
mm², matrix size=70×70, repetition time= 2000 ms, TE1/TE2/TE3/TE4 =
60/80/100/120 ms, echo space = 20 ms, τ = -10/0/10 ms, slice thickness = 5 mm, SENSE
factor = 2. After psMASE sequence, a T2w sequence was applied to identify the injured
area with the following parameters: FOV=140×120 mm², matrix
size = 140×140, TR=3000 ms, TE=80 ms, echo space = 20 ms, slice thickness = 5
mm, SENSE factor = 2. All subjects were scanned at a one-week
interval.
Statistical analyses
R2' map was
generated according to the previous method1, with in-house software
programed with MATLAB R2019a (MathWorks Inc., Natick, MA, USA).
Then, the difference of R2’ between before and after gas challenge was
calculated. Because of the time interval between two scans,
the
shape of the kidney was changed. Thus, the boundaries of the injured
area and the whole kidney were marked by radiologists with more than five
years' experience according to the scan results of T2w. The mean value of dR2’
in the injured area was calculated for a Bland-Altman analysis,
including scatter plots and repeatability coefficients (RC). The RCs give the
expected range of repeat measurements for 95% of subjects. Bland-Altman
analysis was performed by Prism 8 (GraphPad Software Inc., San Diego, CA, USA).Results
There were more
than one affected area in some subjects, thus the selected injured areas in mild,
moderate and severe groups were 7, 10 and 9 respectively. The typical lesions
in each group are shown in Figure 1, with dR2’ maps and yellow arrows
indicating the most affected area identified in T2w scan. Bland-Altman
analysis results are shown in Figure 2. RCs for different degrees of injury varied
from for control group, 20.0-26.7% for mild group, 6.77-8.32% for moderate
group and 10.4-12.8% for severe group. Wilder range of 95% confidence limits
were observed in mild group and control group, while the moderate group had the
best consistency.Discussion
We repeated the
psMASE strategy with gas challenge to verify the reproducibility. The differences
between consistencies in each group might be affected by magnetic field
inhomogeneity and motion artifact, but they're still within the range of
repeatability. Therefore, the evaluation of dR2' value for acute
kidney injury model has a good consistency, which further provides strong
evidence for further clinical application.Acknowledgements
No acknowledgement found.References
1. Chengyan
Wang , Bihui Zhang, et al. Hemodynamic response to respiratory
challenge evaluated by dynamic R2’ imaging: application for acute renal
ischemia caused by microsphere-induced renal artery embolism. ISMRM 2018
2. Weizheng
Gao, Chengyan Wang, et al. The changes of R2’ in quantitative evaluation of
acute renal injury: Preliminary animal study. ISMRM 2019
3. Kong H,
Wang C, Gao F, et al. Early assessment of acute kidney injury using targeted
field of view diffusion-weighted imaging: An in vivo study[J]. Magnetic resonance
imaging, 2019, 57: 1-7.