Jing Guo1, Stephan Marticorena1, Florian Dittmann1, Andreas Fehlner1, Sebastian Hirsch1, Thomas Fischer1, Jürgen Braun2, and Ingolf Sack1
1Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2Department of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany
Synopsis
In vivo assessment
of the renal allograft function post kidney transplantation is challenging. We
here demonstrate that multifrequency MR elastography (MMRE) can detect renal allograft dysfunction with good
diagnostic accuracy (AUROC:0.91 [95% CI 0.80-1.02; p < 0.001]). Renal stiffness is
significantly lower in dysfunctional transplant kidney and correlates moderately with glomerular
filtration rate and resistive index. MMRE may serve as a
non-invasive imaging maker to detect renal allograft dysfunction in an early
stage and to monitor renal allograft function longitudinally.Target audience
Physicians
and imaging scientists interested quantitative biomarkers for renal allograft
function.
Purpose
To apply
multifrequency magnetic resonance elastography (MMRE) to patients with transplant kidneys for the
stiffness-based assessment of renal allograft function.
Methods
22 patients (age range
23–73 years, 7 females) with transplant kidneys underwent MRE (1) examinations. MMRE (2) was performed on a 1.5-T scanner with four
vibration frequencies (40 to 70 Hz with 10 Hz increments) using a non-magnetic
piezoelectric driver mounted to a transducer mat. For each drive frequency, full
wave fields were recorded at eight time points of the vibration period in 7
contiguous coronal image slices of 2.5*2.5*2.5 mm
3 resolution. The total
acquisition time was approximately 4 minutes. As the transplant kidneys locate
in the iliac fossa, respiratory motion was negligible and the patients
maintained a shallow and regular breathing throughout the MMRE session. Data
processing is detailed in (3): multifrequency dual elasto visco (MDEV) was
carried out yielding elastograms of the magnitude of the complex shear modulus
|
G*| which mainly reflect
the stiffness of the kidney. Clinical data
such as the glomerular
filtration rate (GFR), resistive index (RI, a sonographic index for altered
renal blood flow) were obtained, biopsy
was performed in patients with dysfunctional transplants and the last Banff-Score representing the grade of kidney
fibrosis was collected.
Results
In Fig.1 MRE magnitude images (T2-weighted) and the corresponding elastogram are shown. The patient has
two transplant kidneys visible in the coronal slice, the right one (blue
outline) is functional (FN) while the left one is highly atrophic and
dysfunctional (Dys, red outline). Example shear wave images are shown in Fig.2. To ensure that comparison of
stiffness values between FN and Dys are made in regions of same sizes and tissue
type (bias from boundary effect related to MRE reconstruction), a refined
region-of-interest (ROI) was automatically delineated which contained 100
pixels of the highest |
G*|
values (center image of Fig.1). In the
reconstructed elastograms (|
G*|-map) shown in Fig.1, FN has marked higher intensity as compared to Dys indicating
higher renal stiffness. Group-mean |
G*|-values
were significantly higher in FN than Dys (9.50 ± 1.77 kPa [FN], 6.96 ± 1.78 kPa
[Dys], p < 0.001 [U-test], Fig.3a).
A cutoff value of 7.24 kPa provided sensitivity
(83.33%) and specificity (86.67%) for detecting renal allograft dysfunction in
kidney transplants with an AUROC-value of 0.9083 (95% CI 0.80-1.02; p <
0.001). We also tested the correlation between |
G*| and clinical data. |
G*| positively correlated with GFR (r = 0.54, p = 0.012), while
a negative correlation was found between
|
G*| and RI (r = -0.50, p = 0.021), as shown in Fig.3b
and Fig.3c.
Discussion
In this study, MR
elastography was applied to kidney transplant patients with stable and impaired
renal allograft function. Interestingly, we found that the FN are stiffer than Dys
with interstitial fibrosis (BANFF 6) and tubular atrophy. This suggests that renal
stiffness is determined by multiple contributions from fibrosis, arterial blood
flow and perfusion pressure. We hypothesize that in FN, the normal filtering
capacity leads to elevated hydrostatic pressure which results in higher
stiffness values. On the other hand, stiffness of Dys might be influenced by two
competing factors, advanced fibrosis and diminished perfusion/blood flow, a
larger influence of the hydrostatic pressure would result in a decreased renal
stiffness. Our observations agree to reports based of an animal study (4) and 11 patients (5). Moderate positive
correlation between MRE and GFR suggests that diminished renal functionality is
accompanied by a reduction in renal stiffness, very likely due to the decrease
in perfusion pressure. Additionally,
a negative correlation between |
G*|
and RI indicates that increased vascular compliance which associates with
reduced renal blood flow leads to reduced renal stiffness.
Conclusion
MMRE has good diagnostic accuracy in detecting renal allograft dysfunction. Renal stiffness is
significantly lower in patients with dysfunctional transplant kidney and moderately correlates with glomerular
filtration rate and resistive index. MMRE may serve as a
non-invasive imaging maker to detect renal allograft dysfunction in an early
stage and to monitor renal allograft function longitudinally.
Acknowledgements
No acknowledgement found.References
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