Synopsis
Recent
advances in sequence design and image processing have allowed for the
simultaneous acquisition of dynamic perfusion imaging data (necessary for modelling
of quantitative renal function) and also high-quality anatomic images of the
renal and urothelial system (necessary for tumor diagnostics). A streamlined
protocol allows for a more comprehensive evaluation of patient with
diseases of the renal and urothelial system, optimizing management decisions
through non-invasive diagnostics.
ISMRM SYLLABUS: MR UROGRAPHY
Course: Pelvic MR Imaging (Weekday educational course): Monday, April 24
Speaker: Bobby Kalb, MD (bkalb@radiology.arizona.edu)
Target audience: Radiologists, imaging scientists and MRI technologists
Objective: To educate the attendee on the current state of MR Urography. Specifically,
the attendees will learn technical aspects related to image acquisition and
protocol optimization for two distinct, but important clinical scenarios: tumor
detection and quantitative renal functional analysis by MRI. Clinical aspects
of image interpretation will be covered to improve the ability of the attendee
to differentiate between different renal and urothelial neoplasms. In addition,
technical considerations regarding the ability to obtain glomerular filtration
rates through latest generation image acquisition techniques focused on dynamic
free-breathing analysis of renal perfusion will be discussed.
Purpose: Chronic kidney disease (GFR < 60 mL/min) is significant public
health issue, with an estimated prevalence of approximately 11% in developed
countries. End-stage renal disease affects more than 650,000 patients per year
in the United States, and consumes large amounts of per-capita healthcare
spending (approximately 7% of the Medicare budget). In addition to medical renal disease,
neoplastic diseases of the kidney and bladder (renal cell and urothelial carcinoma)
is also a common health issue, with >60,000 new cases diagnosed each year,
with >14,000 deaths.
Appropriate diagnosis and management of patients with both end-stage
renal disease and renal-urothelial neoplasms are important to guide appropriate
therapeutic decision making. In patients with end-stage renal disease, especially
after undergoing renal transplantation, accurate assessment of graft function
in combination with anatomic assessment of the renal parenchyma, vascular and collecting
systems are important to optimize therapies to target graft survival. In
addition, patients with neoplastic disease of the renal and urothelial system
benefit from optimized, non-invasive diagnosis of tumor type to guide
appropriate management (surgical versus nonsurgical). In patients that require
surgery, accurate pre-operative assessment of single kidney function helps
guide surgical management decisions and approaches, especially related to
partial nephrectomies.
Methods: While MRI has shown the ability to calculate quantitative measures
of renal function (such as GFR and renal blood flow), and has also been used to
accurately diagnose neoplasms of the renal/urothelial system, hardware and
sequence limitations have limited the ability of a single protocol to provide
simultaneous assessment of both renal function and renal/urothelial neoplasm.
Dynamic perfusion imaging of the kidney is used to assess quantitative renal
function, and has typically required highly accelerated, low-resolution 3D
gradient echo sequences that have not been optimized for renal or urothelial
parenchymal analysis. Earlier studies have reported GFR values using mostly 2D
or 3D Cartesian view sharing techniques, however these methods are susceptible
to temporal blurring. Non-Cartesian techniques are more robust to motion
artifact secondary to oversampling of the center of k-space, and hold promise
for improvements in temporal and spatial resolution to allow for adequate
parenchymal soft tissue analysis.
Results: Recent advances in MR acquisition
methods, including novel radial acquisition methods utilizing a golden angle stack
of stars approach, have allowed for preservation of high-resolution, dynamic
post-contrast imaging that can simultaneously acquire both the parenchymal
tissue information important for tumor analysis in conjunction with perfusion
data required for post-acquisition modelling to calculate quantitative renal
function measures. In addition, compressed sensing methods of image analysis
allow improvements in image quality that reduces artifacts related to sparse
data collection during rapid image acquisition. Initial investigations
utilizing this method suggests close approximation with standard methods of
renal functional analysis that are reliant on laboratory analysis of estimated
GFR.
Discussion: Previously, analysis of both renal function and anatomic
renal/urothelial imaging would require separate imaging studies, increasing the
time, complexity and cost of the exam due to technical obstacles to
simultaneous acquisition. Prior techniques, especially using Cartesian methods,
have not allowed both rapid temporal resolution and adequate anatomic
evaluation, precluding a comprehensive study. Oncologic surgeons that plan for
resections of renal/urothelial neoplasms, or else transplant surgeons that
depend on accurate analysis regarding the causes of degree of renal graft dysfunction,
have relied on a variety of tests, in addition to clinical judgement, to make
decisions regarding surgical intervention. However, the availability of a
single test that can provide both anatomic and functional analysis to guide
therapeutic decision making would be expected to impact the care of these
patients.
Conclusion: In summary, recent advances in sequence design and image processing
have allowed for the simultaneous acquisition of dynamic perfusion imaging data
(necessary for modelling of quantitative renal function) and also high-quality
anatomic images of the renal and urothelial system (necessary for tumor
diagnostics). This streamlined protocol would allow for a more comprehensive
evaluation of patient with diseases of the renal and urothelial system,
optimizing management decisions through non-invasive diagnostics. Acknowledgements
No acknowledgement found.References
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Multiresolution imaging using golden angle stack-of-stars and compressed
sensing for dynamic MR urography. Journal of magnetic resonance imaging : JMRI.
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Diagnostic Performance and Enhanced Visibility of the Upper Urinary Tract
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3. Dillman JR, Trout AT, Smith EA. MR urography
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