Synopsis
This presentation is designed to inspire
the preclinical and clinical imaging, renal physiology, and nephrology communities
to foster explorations into the assessment of renal oxygenation and
haemodynamics by exploiting the powers of MRI. For this
purpose the merits and
limitations of renal BOLD-MRI are surveyed together with their implications.
Explorations into detailing the relation between renal T2* and renal
tissue partial pressure of oxygen (pO2) are discussed.
Multi-modality in vivo approaches
suitable for detailing the role of the confounding factors that govern T2*
are considered. Future directions of MRI assessment of renal oxygenation and
perfusion are explored.
Renal tissue hypoperfusion and
hypoxia are key elements in the pathophysiology of acute kidney injury and its
progression to chronic kidney disease. Yet, in vivo assessment of renal
haemodynamics and tissue oxygenation remains a challenge. Many of the
established approaches are invasive, hence not applicable in humans. Blood
oxygenation level dependent (BOLD) magnetic resonance imaging (MRI) offers an alternative. BOLD-MRI is non-invasive and indicative of renal tissue oxygenation. Nonetheless recent (pre-)clinical studies revived the
question as to how bold renal BOLD-MRI really is. This presentation aims to
deliver some answers. It is designed to
inspire the preclinical and clinical imaging, renal physiology, and nephrology communities
to foster explorations into the assessment of renal oxygenation and
haemodynamics by exploiting the powers of MRI. The work presented in this talk takes advantage of and heavily uses a recent review paper published by a inter-disciplinary team (1).
First, the specifics
of renal oxygenation and perfusion are outlined. The fundamentals of BOLD-MRI are briefly summarized.
The link between tissue oxygenation and the oxygenation sensitive MR biomarker
T2* is outlined. The merits and limitations of renal BOLD-MRI
in animal and human studies are surveyed together with their clinical
implications. Explorations into detailing the relation between renal T2*
and renal tissue partial pressure of oxygen (pO2) are discussed with
a focus on factors confounding the T2* versus tissue pO2
relation. Multi-modality in vivo
approaches suitable for detailing the role of the confounding factors that
govern T2* are considered. A schematic
approach describing the link between renal perfusion, oxygenation,
tissue compartments and renal T2* is proposed. Future directions of
MRI assessment of renal oxygenation and perfusion are explored.
Unique Aspects of Renal Haemodynamics
and Oxygenation (1)
Renal
oxygenation constitutes a delicate balance between oxygen delivery, as
determined by renal blood flow and arterial O2 content, and O2
consumption, for which energy-dependent tubular reabsorption is the major
determinant. Increased renal blood flow (RBF) is, in general, accompanied by
increased glomerular filtration rate (GFR), and therefore necessitates
increased tubular reabsorption. As compared to most non-renal tissue,
whole-kidney blood flow is high and whole-kidney arterio-venous difference in O2
content is small. Yet renal tissue perfusion and oxygenation is highly
heterogeneous. Virtually all of the blood flowing into the kidney perfuses the
cortex. The medulla is perfused by a small fraction (about 10% of total RBF) of
blood that had traversed the cortex. Even intra-layer perfusion is quite
heterogeneous. In accordance, tissue pO2 is low in the medulla and
also varies within the respective layer.
The kidney is equipped with efficient mechanisms of autoregulation,
i.e., the ability to maintain RBF and GFR relatively constant in the face of
moderate changes in renal perfusion pressure (RPP). It has been suggested that
autoregulatory mechanisms also serve the purpose of balancing O2
delivery with O2 demand that arises from tubular reabsorption. It is
conceivable that in the setting of renal disorders autoregulatory mechanisms
create a vicious circle in which low perfusion results in tissue hypoxia that
in turn further reduces perfusion. The differential perfusion and oxygenation
of renal tissue is subject to changes induced by a variety of
(patho)physiological factors.
T2* sensitized MRI for Probing Renal Oxygenation and Perfusion:
Opportunities for Discovery
The
assumption that T2* provides a surrogate of renal tissue oxygenation
is based upon the T2* dependence on O2 saturation of Hb
(StO2) and motivated by the link between StO2, blood pO2,
and tissue pO2. T2* or its reciprocal value (R2*=1/T2*)
have been employed in numerous (pre)clinical studies as an MR based marker and
surrogate of intra-renal oxygenation. T2* sensitized MRI was
employed in a broad spectrum of experimental research applications designed to
detail renal haemodynamics during renal ischaemia/reperfusion (2), following administration of x-ray contrast
media (3), during reversible interventions including
hypoxia, hyperoxia, and short-lasting aortic occlusion (Figure 1).
Don’t be so bold
Don’t be so bold about BOLD MRI for the Study of Renal
Oxygenation: Factors Confounding renal T2*
about BOLD MRI for the Study of Renal
Oxygenation: Factors Confounding renal T2*
Don’t be so bold about BOLD MRI for the Study of fffRenal
Oxygenation: Factors ConfoundinT2*
Don't be so bold about BOLD MRI for the Study of Renal Oxygenation: Factors Confounding Renal T2*
It
is sensible to state that T2*
is directly related to the amount of deoxyHb per tissue volume and hence
correlated with tissue pO2 via blood pO2 and the oxyHb dissociation curve. Recent
findings on the correlation between T2* and tissue pO2
revealed discrepancies that point at factors other than the known shifts of the
oxyHb dissociation curve and changes in haematocrit, which may also confound
the renal T2*/tissue pO2 relationship (1). The T2* to tissue pO2
correlation differences between interventions of hyperoxia, hypoxia and aortic
occlusion together with the renal vascular conductance and kidney size data
obtained by an integrated MR-PHYSIOL approach (4,5) indicate that changes in the blood
volume fraction considerably influence renal T2*. Changes in renal
vascular conductance point at changes in intrarenal blood volume. This occurs
via passive circular distension of vessels following changes in the transmural
pressure gradient, or by active vasomotion.
Alterations
in kidney size may be induced by volume changes in any of the renal fluid
compartments. Besides the vasculature, the interstitial and the tubular
compartments could also experience rapid volume changes and could therefore
modulate the blood volume fraction. The tubular volume fraction is a unique
feature of the kidney; it is quite large and can rapidly change due to (i)
changes in filtration, (ii) alterations in tubular outflow towards the pelvis,
(iii) modulation of the transmural pressure gradient, and (iv) changes in
resorption.
En
route towards a comprehensive understanding of renal haemodynamics and
perfusion Figure 2 provides a
schematic survey on the potential contributions of several confounders to T2*.
These include changes in (i) the tubular compartment, (ii) the intrarenal
vascular compartment, and (iii) Hb concentration per blood volume
(haematocrit). Aortic occlusion (or that of the renal artery) results only in
moderate reduction of renal T2* as illustrated in the empirical
model shown in Figure 2. Figure 2 also illustrates a massive T2*
reduction following occlusion of the renal vein. Simultaneous occlusion of the
renal vein and artery causes an intermediate T2* reduction as
pointed out in Figure 2. In each of these three cases, tissue pO2,
blood pO2, and StO2 approach zero. Yet the vascular
volume fraction is reduced in case of arterial occlusion, increased in case of
venous occlusion, and unchanged in case of the common arterio-venous occlusion.
As also illustrated in Figure 2, vasodilation causes a T2* decrease
due to an increase in the vascular volume fraction, although renal tissue pO2,
blood pO2, and StO2 increase due to improved O2
delivery. Vasoconstriction induces an increase in T2* despite
reduced O2 delivery due to reduction in vascular volume fraction.
Distension of tubules (e.g. induced by x-ray contrast media) results in
increase in T2* in the face of primarily unchanged StO2,
blood and tissue pO2 due to reduced vascular volume fraction (Figure
2). Anaemia or an increase in plasma skimming evoke an increase in T2*
despite the drop in O2 delivery and tissue pO2 (Figure 2).
Finally, changes in the inspiratory O2 fraction change renal T2*.
Hypoxia decreases T2* in parallel with StO2, blood and
tissue pO2. The effect of hyperoxia on T2* is small.
Future directions
for pushing the limits of renal MRI
The recognition that renal T2* does not quantitatively mirror
renal tissue oxygenation in several (patho)physiological conditions and that T2*
may not reflect blood oxygenation quantitatively in some scenarios should
induce due caution for quantitative interpretation of BOLD-MRI.
Deciphering the relation between regional renal T2*
and tissue pO2 – including the role of the T2*
confounders vascular volume fraction, tubular volume fraction and oxyHb dissociation curve – requires further research. To be rendered a quantitative physiological approach, BOLD-MRI needs to be calibrated with established quantitative physiological measurements (marked
in light blue in Figure 3). With this
in mind Figure 3 attempts to provide a basic scheme of an integrative approach
that makes good use of the capabilities of magnetic resonance, physiological
measurements and near infrared spectroscopy. Productive engagement in this area carries on to
drive further developments including validation and calibration of MR with the ultimate
goal to provide quantitative means for interpretation of renal hemodynamics,
renal oxygenation, renal blood volume fraction and tubular volume fraction
related parametric MRI (Figure 3). This requires that renal blood
oxygenation level associated T2* changes need to be differentiated
from T2* changes induced by changes in the T2* confounders tubular and
vasculature volume fraction (marked in red in Figure 3). To meet this goal the renal MRI portfolio needs to entail T2*
mapping to probe for changes in blood oxygenation level but also T2
mapping and proton density imaging to monitor net water changes and fluid shifts (marked in dark blue
in Figure
3). T2 mapping
would also help to discriminate the susceptibility induced contributions (T2')
from the T2 relaxation contributions to T2*. For this purpose it is
also appealing to pursue quantitative
susceptibility mapping (QSM). QSM provides a novel MR contrast mechanism to determine apparent magnetic susceptibility in tissue, which is
useful for identification of BOLD contributions. For
a comprehensive characterization of renal oxygenation and perfusion it is prudent
to include MR assessment of renal blood volume (RBV) using intravascular contrast
agents such as ultrasmall
superparamagnetic iron oxide (USPIO) based agents to probe for
vasodilation,
vasoconstriction and other changes in the blood volume fraction as illustrated
in Figure 3.
The development and application of multi-modality approaches continues to
be in a state of creative flux. It is to be expected that future hybrid
implementations may include optical imaging techniques such as NIRS. Notwithstanding its depth penetration constraints which at present
limits its application to the renal cortex, NIRS has the potential to help
characterize renal oxygenation (6). NIRS can be applied to monitor
changes of StO2 and Hb
concentration per tissue volume in the kidney. With advanced NIRS approaches it
is even possible to measure absolute values of Hb concentration and StO2.
To conclude, further explorations are essential before the quantitative capabilities of
parametric MRI can be translated from experimental research to the clinic to
improve our understanding of hemodynamics/oxygenation in kidney disorders. Moving T2*
sensitized MRI from the research area into the clinic remains challenging but
has spurred the drive towards a comprehensive stand-alone MR protocol for
assessment of renal haemodynamics and oxygenation. As parametric mapping of T2* and other MR
biomarkers become increasingly used in preclinical research and clinical
science, they
should help to further advance the potentials of
MR for assessing kidney diseases.
Acknowledgements
This work was supported by
the German Research Foundation (Deutsche Forschungsgemeinschaft, research unit:
FOR 1368, grant numbers: Nl 532/9-1, NI 532/9-2, SE 998/4-2) and by the VIP+
initiative of the German Federal Ministry of Education and Research (grant
number: VIP+ 03VP00081). The
author wishes to thank Andreas Pohlmann, Jan Hentschel, Henning Reimann,
Sabrina Klix, Sonia Waiczies, (Berlin Ultrahigh Field Facility (B.U.F.F.),
Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association,
Berlin, Germany), Dirk Grosenick (German Metrology Insitute, Berlin, Germany) and
Karen Arakelyan, Bert Flemming, Kathleen Cantow, Mechthild Ladwig, Ariane
Anger, Andrea Gerhardt and Erdmann
Seeliger (Institute of Physiology, Charité –
Universitätsmedizin Berlin, Campus Mitte, and Center for Cardiovascular
Research (CCR), Berlin, Germany) for
very valuable assistance and outstanding support.
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