Octavia Bane1,2, Stefanie Hectors1,2, Sonja Gordic2,3, Paul Kennedy1,2, Mathilde Wagner2,4, Rafael Khaim5, Veronica Delaney5, Madhav Menon5, Fadi El Salem6, Sara Lewis1,2, and Bachir Taouli1,2
1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, United States, 2Radiology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, United States, 3University Hospital Zurich, Zurich, Switzerland, 4Groupe Hospitalier Pitie-Salpetriere, Paris, France, 5Recanati-Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, United States, 6Pathology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, United States
Synopsis
The
goal of our study is to develop a multiparametric MRI (mpMRI) protocol for the
assessment of renal transplant fibrosis. Our initial results show decrease of
cortical and medullary ADC, cortical D and PF, and increase of cortical T1
in fibrotic allografts compared to functional allografts. We also observed loss
of corticomedullary differentiation in ADC and T1 with fibrosis. We conclude
that diffusion and T1 measurements are sensitive to renal allograft
fibrosis, to be confirmed in a larger study.
Introduction
Detection and quantification of fibrosis in renal allografts
can identify patients at risk of progression to renal dysfunction 1, and enable evaluation of the efficacy of novel
anti-fibrotic agents in clinical trials 2. The reference standard for evaluating renal
fibrosis is histopathologic analysis of biopsy samples. However, biopsy is
invasive, prone to sampling errors and difficult to repeat, and can result in
complications such as bleeding. The
goal of our study is to develop a quantitative multiparametric MRI (mpMRI)
protocol for the evaluation of renal transplant fibrosis. Methods
21
initial patients including 15 with functional renal allografts (M/F 9/6 mean
age 55.2 y, estimated MDRD serum eGFR 47.6-87 ml/min/1.73m2) and 6
with chronic dysfunction and fibrosis (M/F, 2/4, mean age 57.7y, eGFR 15.9- 59
ml/min/1.73 m2, biopsy performed 150 ± 48
days before MRI) were enrolled in this IRB-approved single center prospective
study. All subjects gave signed informed consent. All patients underwent mpMRI
at 1.5T (Aera, Siemens) including intravoxel-incoherent motion DWI (IVIM-DWI), diffusion
tensor imaging (DTI), blood oxygen level dependent (BOLD) and T1 mapping
(Table 1). DTI fractional anisotropy (FA) maps were calculated from the eigenvalues
of diffusion tensors.
IVIM-DWI, T1 and BOLD signal curves, and DTI FA values, were
measured from circular ROIs placed in the cortex and medulla at the upper, middle
and lower renal allograft poles. IVIM-DWI parameters (true diffusion D,
pseudodiffusion D*, perfusion fraction PF) were obtained by Bayesian fitting 3. Cortex and medulla MRI parameters were
averaged across polar ROIs. Corticomedullary percentage differences [100 x
(cortex-medulla)/cortex] in ADC (ΔADC),
FA (ΔFA), R2* (ΔR2*), and T1 (ΔT1), were also calculated. MRI parameters were
compared between functional and fibrotic allografts using the Mann-Whitney
test. Spearman correlations were calculated between cortical MRI parameters and
cortical biopsy score for interstitial fibrosis (ci), tubular atrophy (ct)
Banff scores, combined interstitial fibrosis/tubular atrophy (IFTA=ci+ct) and
inflammation (i)4.Results
Among
patients with fibrotic allografts, the majority had moderate fibrosis (ci+ct=4:
n=5/6 patients, ci+ct=2: n=1), and no inflammation (i=0: n=4/6). FA and T1
were measured in all patients. IVIM and R2* measurements could not
be obtained in 1/7 fibrotic allografts, and in 1/14 stable allografts,
respectively, due to poor image quality. Qualitative assessment of advanced
diffusion parametric maps (Fig. 1) shows decreased values in fibrotic vs.
functional allografts, which is confirmed by the quantitative analysis (Fig. 2-4).
Cortical ADC, PF and D as well as medullary
ADC were significantly decreased in fibrotic allografts (Table 2, Fig. 2). ΔADC was not
significantly different between fibrotic and functional allografts, although
there is loss of the corticomedullary differentiation in ADC observed in
functional allografts [e.g. Table 2,
significantly elevated cortex ADC compared to medulla in healthy allografts,
(p=0.042), and no significant difference in ADC observed in fibrotic allografts
(p>0.999)]. There was significant decrease in ΔFA in fibrotic allografts (Table 2), and loss of corticomedullary
differentiation [Table 2,
significantly elevated FA in the medulla compared to cortex of functional
allografts (p<0.001), but not of fibrotic allografts (p=0.06)].
Cortical T1 was significantly
elevated, and ΔT1 significantly decreased in fibrotic allografts (Table 2). We also observed loss of
corticomedullary differentiation in T1 [Table 2: T1 significantly elevated in medulla compared
to cortex of functional allografts (p<0.001), compared to no significant
difference between cortex and medulla of fibrotic allografts, p=0.438). There
were no significant differences in FA, R2*, or ΔR2* between fibrotic and
functional allografts. There were no significant correlations between MRI
parameters and pathology scores (p=0.06-0.99).
Discussion
Our
study confirms earlier findings of decreased corticomedullary ΔADC and ΔT1
with renal allograft fibrosis 5.
The observed decrease in ADC, D and PF with fibrosis is in agreement with
findings in a murine model of renal fibrosis 6
and with human studies correlating ADC and IVIM parameters with fibrosis 7
and renal function 8. Increased
medullary FA compared is expected in normal allografts, and the loss of
corticomedullary difference in FA is consistent with changes in the medulla
with renal dysfunction9. Prolonged
T1 with tissue fibrosis and inflammation also agrees with previous
studies 5,10. Due
to the small number of patients with fibrosis, and the reduced range of
pathology scores, we were unable to reproduce correlations between ΔADC
and ΔT1
and pathology observed in a larger study 5. Conclusion
Our preliminary data shows
the sensitivity of IVIM-DWI and T1 parameters to allograft fibrosis
in renal transplant patients. The value of mpMRI-derived metrics in combination
for characterizing renal transplant fibrosis will be confirmed in a larger
study.Acknowledgements
Acknowledgements
This research was supported
by the National Institutes of Health NIDDK Grant 1F32DK109591, Society of
Abdominal Radiology (SAR) Morton Bosniak Research Award, and Guerbet LLC GrantReferences
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