Alex J Barker1, Lorna P Browne1, Michal Schafer2, Erin K Englund2, Takashi Fujiwara2, Kristen J Nadeau2, and Petter Bjornstad2
1Radiology, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States, 2University of Colorado, Anschutz Medical Campus, Aurora, CO, United States
Synopsis
Pediatric patients may experience inaccurate estimates
of glomerular filtration rate (GFR) by serum creatinine or cystatin C. Renal
blood flow (RBF) is a key physiological determinant of GFR, thus, phase-contrast
MRI (PC-MRI) is a promising non-invasive technique to investigate relationships
to GFR. An interim prospective analysis (n=18) is presented, which investigates
RBF as measured by PC-MRI in pediatric bone-marrow transplant candidates who also
underwent gold standard measurement of GFR by 125I iothalamate
clearance (GFR-iothalamate). The correlation between GFR-iothalamate and RBF
by PC-MRI was markedly superior to that of the commonly used endogenous
filtration markers serum creatinine or cystatin C.
Introduction
Glomerular
filtration rate (GFR) is a key measure of kidney function and is used to
determine dosing of renally cleared medications. Methods to directly measure
GFR, such as tracking serum or urine clearance of intravenously (IV)
administered exogenous filtration markers (e.g. 125I iothalamate), remain the gold standard, however these approaches are expensive,
cumbersome and invasive. In practice, estimated GFR (eGFR) is used instead, typically
calculated from serum concentrations of endogenous filtration markers,
including creatinine and cystatin C. For example, eGFR
has previously been recommended to evaluate kidney function for the purpose of gadolinium-based
contrast agent use in MRI; however, recent guidelines warn of the potential for
inaccuracy.[1] Furthermore, the equations used to estimate GFR have been
shown to be inaccurate in pediatric populations with preserved kidney function.[2]
Given that pediatric patients are especially prone to inaccurate eGFR
ascertainment, non-invasive methods to determine GFR accurately are needed. Since
renal blood flow (RBF) is a key physiological determinant of GFR,
phase-contrast MRI (PC-MRI) is a promising approach to non-invasively and accurately
quantify RBF without the risks of exogenous IV contrast. We therefore present
an interim prospective analysis investigating the relationship between RBF as
measured by PC-MRI and GFR by 125I iothalamate
clearance (GFR-iothalamate) [3] in pediatric
bone-marrow transplant (BMT) candidates. Methods
A total of eighteen
pediatric BMT candidates were prospectively recruited for a research kidney MRI
(Table 1, demographics). Participants 8 to 21 years of age who were scheduled
to undergo a BMT and an 125I iothalamate clearance study
to quantify GFR were eligible to participate. Before the MRI, fasting urine and blood were collected to measure eGFR markers,
i.e., serum creatinine and cystatin C. After completion of 125I
iothalamate clearance, same day PC-MRI measurements
were completed of the renal circulation. MRI included balanced-SSFP TRiggered
ANgiography non-Contrast Enhanced (B-TRANCE) imaging to position ECG-gated
breath-held 2D PC-MRI flow measurements (1.2×1.2×6 mm3, with
compressed sensing [CS]). PC-MRI was positioned orthogonal to the left and
right renal artery at the takeoff of the descending aorta. When venous renal
flow was not visible, additional images were acquired of the venous return. In
all cases, velocity sensitivity (venc≈100 cm/s) was adjusted to avoid velocity
aliasing. Bilateral, time-resolved arterial and venous RBF were measured using
ROI’s drawn in Circle CVI42 (Calgary). Right, left, and total arterial and
venous net flow, peak flow, and peak velocity were computed. Total bilateral
blood flow was computed as the sum of the left and right renal vessels (Table 1).
Pearson correlations to eGFR measures and GFR by 125I iothalamate
clearance were computed.Results
All
participants completed the MRI study. Standard estimates of GFR, i.e., serum creatinine
and cystatin C did not correlate with the gold-standard GFR-iothalamate by
Pearson correlation (R2=0.019, p=0.94; R2=0.036, p=0.89,
respectively). Average peak RBF in both the left and right renal artery (combined)
strongly correlated with GFR-iothalamate (R2=0.40, p=0.007). A
trend toward significance was observed between total RBF and GFR-iothalamate (R2=0.20,
p=0.07). No correlations were found for peak blood flow velocity.Discussion & Conclusion
The gold standard measurement of GFR by radioactive
tracers is expensive, arduous, time-consuming, and invasive. Given the known
inaccuracy of the commonly used eGFR calculations, especially in pediatric
populations with preserved kidney function, improved GFR measurement approaches
are crucial to patient care. This is the case for BMT candidates at our
institution, who are at high risk of acute and chronic kidney injury. Additionally,
decisions regarding the type of transplant and post-transplant
immunosuppressive therapies are often based on renal function. Therefore,
accurate and precise measurements of GFR is imperative in this patient
population. For example, youth scheduled for BMT at our institution currently
have their GFR determined by radioisotope disappearance with nuclear medicine (125I iothalamate).
The use of radioisotopes outside of select clinical indications is problematic
due to logistics, cost, and exposure to radiation, especially in asymptomatic
children and/or adolescents. Therefore, a major clinical and research
impediment is a practical way to accurately quantify GFR in populations where
eGFR is ineffective to ascertain early GFR changes. We leverage a unique opportunity
in this patient population to show strong correlations between GFR-iothalamate
and RBF biomarkers from a noninvasive, 20-minute PC-MRI study, that are
superior to serum creatinine or cystatin C. Additional participants are being
recruited to this study for further assessment.Acknowledgements
No acknowledgement found.References
- ACR Committee on Drugs and Contrast Media, Manual on
Contrast Media, American College of Radiology, 2020
- Bjornstad P, et al. Update on Estimation of Kidney
Function in Diabetic Kidney Disease. Curr Diab Rep. 2015;15(9):57.
- Agarwal R, et al. Assessment of iothalamate plasma
clearance: duration of study affects quality of GFR. Clin J Am Soc Nephrol.
2009;4(1):77-85.