Charlotte E Buchanan1, Huda Mahmoud2, Eleanor F Cox1, Benjamin L Prestwich1, Maarten W Taal2, Nicholas M Selby2, and Susan T Francis1
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Centre for Kidney Research and Innovation, University of Nottingham, Nottingham, United Kingdom
Synopsis
Acute
Kidney Injury (AKI), a sudden reduction in kidney function, arises from a
number of causes with the degree of renal recovery varying widely between
individuals. We use multi-parametric MRI to monitor renal
changes at the time of AKI and during the subsequent recovery from AKI. At peak
AKI, an increase in renal volume, and both renal cortex and medulla T1
was seen. Medullary T1 significantly correlated with the severity of
biochemical injury as measured by serum creatinine, whilst no significant
correlation was found for cortex T1. At 3 months post AKI, T1
remained elevated compared to healthy volunteers.
Purpose:
Acute Kidney Injury (AKI) is the sudden reduction in kidney
function, the degree of subsequent renal recovery varies widely between
individuals, and most AKI patients do not undergo renal biopsy. Mouse models of AKI show increased longitudinal relaxation time (T1)1, greater in the medulla than cortex, and decreased ASL perfusion2 from day 7–28 following AKI1,
with changes in T1 and perfusion differentiating AKI severity. The
transverse (T2) relaxation time has been shown to increase and apparent
diffusion coefficient (ADC) decrease at day 7 following AKI.3 We use
multiparametric MRI to assess changes in renal pathophysiology in AKI patients at time of injury and perform longitudinal follow-up of recovery.Methods:
Data Acquisition: Nine patients with AKI Stage 3 (4M/5F; 18-74yrs, no pre-existing kidney
disease) were scanned at 2–16 days (median 6 days) and 3 months following peak
AKI, two patients have now been assessed at 1 year. 14 healthy volunteers (HV) were
scanned as a reference. Serum creatinine (SCR) and eGFR measures were collected
at each scan session. Scanning was performed on a
3T Philips Ingenia scanner. Localiser bTFE scans were used for kidney volume
measures. ASL, T1, and DWI data were acquired using a spin-echo EPI readout in
matched space (5 coronal-oblique slices, FOV 288x288mm,
resolution 3x3x5mm, SENSE 2) using
respiratory-triggered schemes. ASL was collected using a flow alternating
inversion recovery (FAIR) scheme (inflow
map, post-label delay 1800ms, selective (S)/non-selective (NS) thickness 45/400mm,
25 pairs). Inversion recovery T1
data was acquired at 13 inversion times (200-1500ms). DWI data was acquired with 11 b-values (0-500s/mm2). Higher resolution (1.5x1.5mm) T1 measures were also obtained
using a bFFE readout. T2* data was acquired with a 12 echo mFFE
scheme (TE 5ms, echo spacing 3ms, voxel 1.5x1.5x5mm and FOV 288x288mm). PC-MRI
was used to assess renal artery blood flow.
Data Analysis: Kidney volumes
were calculated using Analyze9. Multiparametric maps were generated using
Matlab. Inversion recovery data was fit to form T1 maps. Perfusion
maps were formed from the average perfusion weighted images (S-NS) normalised
to a base magnetisation image, and fitted to a kinetic model. mFFE data was fit
to compute T2* maps. DWI data was fit to ADC and an IVIM model to
calculate D, D* and perfusion fraction. Cortex and medulla masks were created
from T1 maps, and the mode of all MRI parameters computed.
Results:
Figure 1 shows the serum creatinine levels for each AKI
patient. Example T1 maps at peak AKI, 3 months and 1 year are shown
in Figure 2. In comparison to HVs, T1 in the cortex and medulla, and
whole kidney volume were elevated at peak AKI (p<0.001). T1 maps
showed a reduced corticomedullary differentiation (228 ± 72 ms Peak AKI, 302 ± 101
ms 3 months), but this was not significant. Perfusion and ADC were reduced in
comparison to HVs at peak AKI (p<0.02). At 3 months, T1 in the
cortex and medulla significantly decreased (p <0.002), but remained elevated
compared to HVs, while perfusion, ADC and D remained decreased compared to HVs
(Figure 3). Correlations between serum creatinine levels and
T1 values are shown in Figure 4, with a significant correlation shown
between medulla T1 at Scan1 and (Peak-Scan1 SCR) (R=0.71, p=0.05)
and (Scan1–Scan2 SCR) (R=0.844, p=0.02) (Figure 4). No significant
differences in Scan1 MRI parameters were found between those patients with a
positive and negative cumulative fluid balance (p>0.3).Discussion:
This is the first human study to use multiparametric MRI to assess
kidney function and structure during AKI. The acute phase of AKI is associated with inflammation of the renal
parenchyma4 with cell swelling and interstitial oedema. The
pronounced increase in medulla and cortex T1 is consistent with this.
Furthermore, the severity of AKI correlated with renal T1 measures,
with correlations strongest between medullary values and AKI severity. Note
that such significant changes in medulla T1 are not found in CKD. This
provides insights into the pathophysiology of AKI, showing that the medulla is
particularly sensitive to the reduction in perfusion that we also demonstrate
at time of AKI. Similar findings have been shown in animal models5.
Importantly, MRI measures also inform AKI recovery, with a persistent increase
in T1 at 3 months potentially indicating renal fibrosis, and
significant changes detectable despite complete biochemical recovery.Conclusion:
MRI provides valuable
insight into the understanding of AKI, and can detect incomplete recovery at 3 months
even with complete normalisation of biochemistry. MRI has the potential to
inform AKI aetiology, stratify severity and identify maladaptive repair, helping
to develop future therapies.Acknowledgements
This
work was funded by the MRC Confidence in Concept Award.References
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