Ehsan Tasbihi1,2, Thomas Gladytz1, Jason M. Millward1, Joāo Periquito1, Ludger Starke1,3, Sonia Waiczies1, Kathleen Cantow4, Erdmann Seeliger4, and Thoralf Niendorf1
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Charité – Universitätsmedizin, Berlin, Germany, 3Hasso Plattner Institute for Digital Engineering, University of Potsdam, Germany, Potsdam, Germany, 4Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany
Synopsis
Keywords: Quantitative Imaging, Kidney, tubule volume fraction, MRI, T2 mapping, multi-exponential analysis
Motivation: The increasing incidence of kidney diseases is a global concern and current biomarkers are inadequate. Changes in renal tubule volume fraction (TVF) may serve as a rapid biomarker for kidney disease and provide a better understanding of renal (patho-)physiology.
Goal(s): This study aims to measure TVF in in vivo rat kidney during acute tubular pressure increase.
Approach: This study uses the amplitude of the long T2-component as a surrogate for TVF in rats, by applying multiexponential analysis of the T2-driven signal decay.
Results: The results demonstrate that our approach is promising for research into quantitative assessment of renal TVF in in vivo applications.
Impact: This
is the first report on in vivo assessment of relative changes in the renal TVF,
which provides a potential rapid, noninvasive marker for kidney disease. This
approach will be invaluable for gaining a better mechanistic understanding of
renal (patho-)physiology.
Introduction
The
increasing incidence of kidney diseases is a global concern. Current diagnostic
tools and therapies for renal disease are inadequate. Changes in the renal
tubule volume fraction (TVF) may serve as a marker for kidney disease and
provide a better understanding of renal (patho-)physiology1. T2
mapping, an established MRI technique, can quantify changes in tissue water
fraction noninvasively2. This study is the first report on in vivo
assessment of relative changes in the renal tubular volume fraction as a
(patho)physiological metric and uses T2 mapping in conjunction with
bi-exponential analysis of the T2 decay to determine relative
changes TVF during acute renal pelvis/tubular pressure increase, which is a clinically
relevant intervention.Methods:
Tubular fluid, which originates from ultrafiltration in the
glomeruli, has a substantially longer T2 compared to the renal
parenchyma. Therefore, the tubular contribution to the signal should be
separable from the parenchyma signal by nonlinear least squares regression. The
numerical solution for multi-exponential decomposition was done using MATLAB
functions. The algorithm was evaluated using synthetic data simulations and measurements
in phantoms. Since in vivo experiments are always limited by the constraints of
acquisition time, spatial resolution and SNR, we evaluated the
multi-exponential decomposition approach in simulations using a broad range of
conditions of T2 mapping. A phantom was designed to mimic relative changes of TVF in the rat kidney (Fig.1). Water was doped with MnCl2 and CuSO4 to
achieve T1 and T2 times similar to the tubular fluid and
the renal parenchyma. This was followed by a proof-of-principle demonstration
using in vivo data obtained during a transient increase of renal pelvis and
tubular pressure in rats (Fig.2). MRI data were acquired on a 9.4 Tesla small
animal MR system (Bruker Biospec 94/20, Bruker Biospin, Ettlingen, Germany)
using a linear radiofrequency (RF) volume resonator and a 4-channel surface RF
coil array tailored for rats (Bruker Biospin). For T2 mapping a
multi-echo spin-echo technique (TR=500ms, number of echoes=13, first TE=6.4ms,
interecho time ΔTE=6.4ms, number of averages=1, tacquisition=58s) was employed.
For T2 mapping a mid-coronal
oblique slice was acquired (in-plane spatial resolution=(226×445) µm2,
FOV=(38.2×50.3) mm2, matrix size=169×113, slice thickness=1.4mm).
Results:
Fig.3 demonstrates the impact of SNR and A.echo-spacing, B.flip-angle
C.TVF on the TVF estimation. Using a high accuracy imaging protocol
(TR=4s, number of echoes=13, first TE=15ms, ΔTE=15ms, number of averages=3, tacquisition=47min),
our approach achieved a high accuracy on the phantom. Since in vivo experiments
are limited by acquisition time constraints we developed an accelerated protocol
tailored for in vivo T2 mapping of the rat kidney (TR=500ms, number of echoes=13, first TE=6.4ms,
inter-echo time ΔTE=6.4ms, number of averages=1, arefocusing pulse=180°, tacquisition=58s), which resulted in an accuracy of MAE<3%. Fig.1C shows a T2 map obtained for the phantom. The histogram (Fig. 1D)
shows the T2 distribution for the selected ROI. Changes in the ratio
of the volume fraction of the two compartments were achieved by changing the
ROI size. Fig.1E shows TVF measured for the high accuracy protocol and for the
accelerated protocol customized for the in vivo study. Fig.4 shows
representative quantitative TVF maps obtained for baseline, transient pelvis
and tubular pressure increase, and recovery. Transiently increasing pressure in
the renal pelvis and tubules induced significant changes in TVF in renal
compartments:
ΔTVFcortex=5.2%, ΔTVFouter medulla =2.6%, and ΔTVFinner medulla =-14.2% (Fig.5).Discussion:
This
is the first report on in vivo estimation of the physiological metric renal
tubular volume fraction. We demonstrate the feasibility of dynamic parametric mapping
of the MRI relaxation time T2 for TVF cartography and for monitoring
physiological changes in the TVF. For the first time, we represent parametric
maps of TVF obtained under normal conditions and upon increased pelvis and
tubular pressure, which is a clinically relevant intervention. Future in vivo
validation of our MRI approach to TVF assessment with intravital microscopy,
i.e. for quantitative comparison of changes in the vascular and renal tubular
compartments with those observed by and T2, is warranted. In this work, our MRI-based
monitoring was focused on retrospective assessment of changes in TVF during an
acute pathophysiological scenario. Future steps will include prospective and
real-time application of T2
decomposition and TVF measurement, integrating our decomposition analysis
directly into the image reconstruction and post-processing pipeline of the MR
scanner.Conclusion:
Our
investigations have the potential to help uncover the mechanisms leading to
acute kidney injury and progression to chronic kidney disease. Monitoring of
relative changes in renal TVF in vivo using dynamic parametric MRI
provides a potential rapid, noninvasive marker for kidney disease. This
approach will be invaluable for gaining a better mechanistic understanding of
renal (patho-)physiology. Acknowledgements
This project received funding from the Helmholtz
International Research School (HIRS) for Imaging and Data Science from the NAno
to the MESo (iNAMES).References
[1] Toward Assessment of Renal Tubule Volume Fraction in
Rat Kidney Using Decomposition of Parametric T2. Tasbihi E., Gladytz T., Starke
L., Millward J., Seeliger E., and Niendorf T. ISMRM 2023
[2] Continuous diffusion spectrum computation for
diffusion-weighted magnetic resonance imaging of the kidney tubule system.
Quantitative Imaging in Medicine and Surgery. Periquito, J. S., Gladytz, T.,
Millward, J. M., Delgado, P. R., Cantow, K., Grosenick, D., ... & Niendorf,
T. 3098, s.l. : Quantitative Imaging in Medicine and Surgery, 2021, Vol. 11