Thomas Gladytz1, Ehsan Tasbihi1, Jason M. Millward1, Kathleen Cantow2, Luis Hummel2, Joao S. Periquito1,2, Sonia Waiczies1, Erdmann Seeliger2, and Thoralf Niendorf1,3
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Institute of Physiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Experimental and Clinical Research Center, a joint cooperation between the Charité - Universitätsmedizin Berlin and the Max Delbrueck Center for Molecular Medicine, Berlin, Germany
Synopsis
Several renal pathologies are associated with
changes in kidney size, offering an opportunity for magnetic resonance imaging
(MRI) biomarkers of disease. An automated bean-shaped model was developed for
kidney size measurements in rats using parametric MRI (T2, T2* mapping). The
ABSM approach was applied to longitudinal renal size quantification during
pathophysiologically relevant interventions affecting kidney size. A precision
and accuracy similar to manual segmentation was achieved allowing size changes of
2% to be detected reliably. This can
potentially be instrumental for developing MRI-based diagnostic tools for
various kidney disorders and for gaining new insight into mechanisms of renal
pathophysiology.
Introduction
Kidney diseases are a major health issue, with increasing incidence and
an estimated 5 to 10 million deaths per year worldwide1-2. Whilst
several biomarkers are currently being investigated for diagnosis of renal
diseases, to date, clinical point‐of‐care biomarkers are still lacking for
major renal diseases3-4. An increasing body of literature outlines
the potential of non-invasive imaging in evaluating renal size as a clinical
parameter in the diagnosis, treatment and determination of prognosis in major
renal diseases5-7. Recognizing this opportunity and the crucial
importance of monitoring kidney size changes in the context of renal disease
and for gaining new insight into mechanisms of renal pathophysiology, we applied
a new, automated geometry-based bean-shaped model (ABSM) in dynamic MRI for
longitudinal quantification of pathophysiologically relevant changes in kidney
size in rats.Methods
The mid-slice cross-sectional area (hereafter referred to as ‘renal size’) was determined from T2- and T2*-maps of the rat kidney using a bean-shaped model. An analytic function describing the shape of the kidney was used and fitted to the edges found in the MR images. The function in equation 1 was found to describe the shape of a coronal slice of rat kidneys very well:
$$$ r = A (a sin³(θ-θ0) + b cos³(θ-θ0) +0.1 sin5(θ-θ0+π/4) $$$ Equation 1
r, curve describing the kidney border as a function of the polar angle θ; A, kidney size parameter; a, b, kidney anisotropy parameters b²=2-a²; θ0, rotation angle.
This approach was applied for renal size quantification in longitudinal experiments using (a) short‐term occlusions of the suprarenal aorta, (b) short‐term occlusion of the left renal vein (both lasting 3.8±0.3 min) and (c) increase in renal pelvis and intratubular pressure (30 mm Hg, 9.2±0.4 min) to induce pathophysiologically relevant changes in kidney size. Furthermore a bolus i.v. injection of the ultrasmall superparamagnetic iron oxide (USPIO, Feraheme 2mg Fe/kg BM) was administered in order to detect a potential bias of the size determination resulting from significant contrast changes.Results
The ABSM-based kidney segmentation achieved a quick (14s per image) and
accurate (r²=0.97 compared to a consensus of manual segmention from five
independent raters) renal size quantification. Upon occlusion of the suprarenal
aorta there was a significant decrease in renal size (−7.2%, P <
.0001, Dunnett’s post hoc test following ANOVA) sustained throughout the occlusion
(Figure 1). After cessation of the occlusion the renal size recovered slowly to
the baseline within approx. 5 minutes. Occlusion of the left renal vein induced
an increase in renal size (+4.5%, P < .001,
Figure 2) which recovered quickly within 1 minute after reperfusion. During the
intervention that increased pressure in the renal pelvis and tubules, renal
size was elevated slightly (+2%, P < .001) and recovered to baseline
levels when normal pressure was restored (Figure 3). Substantial reduction in
MR signal intensity and changes in image contrast in T2 or T2*
due to administration of the USPIO preparation did not have a significant
effect on renal size, obtained by either T2 or T2* maps
(p=0.67, p=0.77, respectively, repeated measures ANOVA, Figure 4).Discussion
To demonstrate the value and relevance of MR‐based
longitudinal renal size assessment for research into renal pathophysiology,
experimental interventions mimicking realistic clinical scenarios were employed
to induce alterations in kidney size in rats. Renal size monitoring revealed a
reduction in kidney size during the short‐term occlusions of the suprarenal
aorta. With the onset of this occlusion, inflow of blood into the kidney is
abruptly stopped. At the same time, outflow via the renal vein continues, until
pressures in intrarenal vessels and in the vena cava are equalized. This
results in a reduction in intrarenal blood volume and manifests as an immediate
drop in kidney size. Upon cessation of the occlusion the whole lower body
downstream of the occluder has to be reperfused, leading to a temporary drop in
blood pressure and a delayed recovery of renal size. For occlusion of the left
renal vein, we detected a swelling of the kidney. With the onset of renal
venous occlusion, outflow of blood is abruptly stopped. The inflow of blood via
the renal artery does not cease until the arterial pressure‐induced distension
of intrarenal vessels and the associated swelling of the kidney is
counterbalanced by the resistance of the entire renal tissue including the
relatively tough renal capsule. The increase in tubular pressure resulted in a
minor increase in kidney size caused by the dilation of the tubular system,
again counteracted by the blood pressure and the resistance of the renal
tissue.Conclusion
Kidney size quantification using the automated
bean-shaped model proved to yield accurate and reproducible results for images
with various contrasts (T2 or T2* maps both with and
without USPIO) comparable to manual segmentation in greatly reduced time. Our
results demonstrate the feasibility of MRI‐based renal size assessment in
longitudinal experiments in rats, and supports preclinical studies aimed at how
changes in renal size are associated with renal pathology. This approach will
enable systematic analysis of the relationships between renal size,
hemodynamics and oxygenation probed with parametric MRI and physiological
measurements, yielding new insight into the mechanisms of renal
pathophysiology.Acknowledgements
This work was funded in part (TN, ES, SW, TG, KC) by
the German Research Foundation (Gefördert durch die Deutsche
Forschungsgemeinschaft (DFG), Projektnummer 394046635, SFB 1365,
RENOPROTECTION. Funded
by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation),
Project number 394046635, SFB 1365, RENOPROTECTION). The authors wish to thank
A. Pohlmann, K. Zhao and B. Flemming for outstanding support.References
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