Rebeca Echeverria-Chasco1,2, Marta Vidorreta3, Veronica Aramendia-Vidaurreta2,4, David Cano 1, Gorka Bastarrika2,4, Nuria Garcia-Fernandez2,5, Paloma L. Martin Moreno2,5, and Maria A. Fernandez-Seara2,4
1Radiology, Clínica Universidad de Navarra, Pamplona, NE, Spain, 2IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, 3Siemens Healthineers, Madrid, Spain, 4Radiology, Clínica Universidad de Navarra, Pamplona, Spain, 5Nephrology, Clínica Universidad de Navarra, Pamplona, Spain
Synopsis
The goals of this work were to test a multiparametric
MRI protocol to measure perfusion, diffusion and T1 and to assess inter-session
reproducibility in a group of transplanted patients with stable renal function.
18 patients were imaged in 2 exams employing
pseudo-continuous arterial spin labeling technique, intravoxel incoherent
motion technique and T1 mapping sequence. Reproducibility was assessed using
Bland-Altman analysis, within-subject coefficient of variation (CVws) and
intra-class correlation coefficient (ICC).
Results of the 3 techniques were promising showing a
CVws <20% in most of the cases (especially for T1 and D (<6%)) and high ICC
coefficients for PCASL and T1.
INTRODUCTION
Renal transplantation is the therapy of
choice in patients at the end stage of chronic kidney disease (CKD). Magnetic
resonance imaging (MRI) can provide both anatomical information and functional
parameters of the allograft, that could be potentially useful to detect graft dysfunction
after transplantation. Arterial spin labeling (ASL)(1) allows the quantification of renal blood flow (RBF) without using
any contrast agent. Intravoxel Incoherent Motion (IVIM)(2) permits the quantification of microvascular perfusion and diffusion
parameters in the kidney tissue. The longitudinal relaxation time (T1) is an
important parameter as it is needed for the quantification of RBF and T1
changes would correlate with pathological changes in the kidney (3).
Thus, the main goal of this work was to test
a multiparametric MRI protocol to measure allograft perfusion, diffusion and T1
and to assess inter-session reproducibility in a group of transplanted patients
with stable renal function. METHODS
SUBJECTS:
This study was approved by the
University of Navarra Ethics Research Committee. Written informed consent was
obtained from all subjects.
Inclusion criteria: patients, with no contraindication
for MRI and clinically stable with eGFR>50 ml/min/1.73m2 that
were transplanted more than a year before the study. Subjects were recruited by
their referring nephrologist.
18 transplanted patients (mean age±standard
deviation (SD), 53.74±14.65years) participated in this study. Two
exams were performed on all the subjects, separated by at least one week (Table 1).
MRI PROTOCOL:
Scans were performed on a 3T Skyra (Siemens, Germany).
ASL
Tissue perfusion was measured using pseudo-continuous
arterial spin labeling (PCASL) (4,5), implemented as previously described in (6) with a SE-EPI readout sequence. PCASL was unbalanced with average
gradient=0.5mT/m and maximum to average gradient ratio=6. RF pulses were
Hann-shaped (duration=500μs, period=1ms, average B1=1.6µT). Labeling duration
was 1.6s and post-labeling delay was 1.2s. The labeling plane was positioned
~10cm above the kidney, transversally to the aorta. Sequence parameters are described in Table 2. Pre-saturation
pulses selective to the imaging slice were applied at the beginning of each TR
(TR=5s), and background suppression pulses (7) were configured as
in (6). 25 ASL pairs
and an M0 image (in which labeling, pre-saturation and BS pulses were not
applied) were acquired.
IVIM
Microvascular perfusion and diffusion parameters
were calculated using the IVIM technique with a single-shot EPI readout. Data
was acquired for 13 b-values: 0,10,20,30,40,50,70,100,200,300,400,500,800 s/mm2,
with monopolar gradients in 3 orthogonal directions and 3 signal averages. Sequence
parameters are described in Table 2.
T1 mapping
An inversion recovery sequence with a
SE-EPI readout and 14 TIs was employed (TIs: 0.1,0.2,0.3,0.4,0.5, 0.6,0.7,0.8,
1, 1.2, 1.4, 1.6, 1.8, 2 s) for T1 mapping. Readout parameters (Table 2) were
identical to those of the PCASL sequence.
QUANTITATIVE AND STATISTICAL ANALYSIS:
Motion correction was performed for each sequence and slice using a PCA-groupwise
registration method (8) implemented in
Elastix (9).
ASL maps: ASL mean signal was computed for each label-control
pair. Perfusion maps were calculated after removing outliers (when ASL signal
was more than ±2 SD away from the global mean). RBF maps in ml/min/100g were computed using the single
compartment model (Table 2), where
and M0 are the signal of control, label and M0 images,
respectively, α=0.60 (considering PCASL efficiency=0.65 and the effect of the
two BS pulses (10)), τ is the labeling duration,
λ=0.9mL/g (tissue-blood
water partition coefficient) and T1b=1.65s (arterial blood T1).
IVIM maps: In the IVIM model (equation in Table 2), the first
term (including the diffusion coefficient D) describes pure water diffusion, and
the second term represents the fast molecular movement associated with
microperfusion (with coefficients D∗ (mm2/s) and fp (perfusion fraction) (%)).
First, D was calculated using data for b-values>200 s/mm2,
assuming that perfusion-based molecular diffusion can be neglected for large
b-values (solving the second term of the equation for fp=0). Then, fp and D*
were calculated by fitting the bi-exponential model.
T1 maps: T1 maps were calculated by fitting
voxel-by-voxel the model (Table 2) for the inversion recovery data.
For each sequence, parameter values were averaged in
the cortex and medulla, using masks manually drawn in the M0/b=0 images.
Reproducibility was assessed using Bland-Altman
analysis, within-subject coefficient of variation (CVws) and intra-class
correlation coefficient (ICC) employing R(11). RESULTS AND DISCUSSION
Figure 1 shows an example of
multiparametric MRI maps obtained in one subject. Table 3 shows MRI parameters mean±SD
values calculated for all the subjects and their correspondent CVws and ICC coefficients. Figure 2a shows cortical and medullar Bland-Almant plots for each parameter. Figure 2b shows the correlation between RBF and FP in
the cortex, r=0.47.
Results in RBF, D, D*, FP and T1 agree with
values reported in the literature (12–14).
CVws of the 3 techniques shows promising
results, being <20% in the majority of the cases and being very low (<6%)
for cortex and medulla for T1, and D, and low (<15 %) for RBF in the cortex
and T1 in the medulla. ICC shows good reproducibility of the measurements
for T1 mapping and PCASL (>85%), and acceptable results (>60%) for D and
FP maps.
Therefore, this study demonstrates that
multiparametric MRI can be performed in a reproducible fashion in transplanted
patients, opening the door for the reliable assessment of the allograft
function with MRI. Acknowledgements
Rebeca Echeverria-Chasco received Ph.D. grant support from Siemens Healthcare Spain.References
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