Karl Schumacher1,2, Martin R. Prince2, Yi Wang2, and Alexey Dimov2
1Bioengineering, Santa Clara University, Santa Clara, CA, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States
Synopsis
Keywords: Kidney, Quantitative Susceptibility mapping, Autosomal polycystic kidney disease, ADPKD, complex cysts, hemorrhage, renal calcifications
Motivation: Current MRI-based approaches for assessment of the complications related to the ADPKD (hemorrhage and calcifications) suffer from low specificity due to the complex and nonlinear dependence of T1/T2 relaxation times on tissue composition.
Goal(s): The aim of this study is to assess QSM as an enrichment biomarker suited for unambiguous differentiation of various complex ADPKD cysts.
Approach: We perform a cross-sectional study in ADPKD subjects categorizing complex cysts based on their appearance on QSM and assessing their prevalence in patient population.
Results: The results of our imaging study demonstrate that QSM can provide complimentary characterization of cyst composition and visualize calcifications within kidneys.
Impact: Our results indicate that QSM can identify unique
susceptibility properties of complex cysts unattainable with traditional imaging
approaches, which may serve as an enrichment biomarker for ADPKD progression
and the development of cyst complications.
Introduction
ADPKD is the most common hereditary kidney disease characterized by uncontrolled formation of fluid-filled
cysts leading to compression and obstruction of nephrons and subsequent
anatomic disruption of the glomerular filtration ratio(1). The optimal clinical management relies on identification of patients at higher risk of GFR decline and disease-related complications(2,3) such as bleeding and nephrolithiasis(4). MRI is an attractive imaging modality due to its wide availability, sensitivity to properties
of soft tissues, and lack of ionizing radiation. Nevertheless, differentiation of hemorrhaging and benign proteinaceous cysts, and calcifications remains a challenging task due to
the low specificity of traditional T1w/T2w/diffusion MRI(5-8). We propose that QSM can be utilized to identify and classify ADPKD renal pathologies based on their magnetic properties.Methods
34 consecutive
patients (11 male,
22 female) diagnosed
with ADPKD(9,10) underwent an
imaging study between July 2021
and March 2023 on a 3T clinical MR
scanner (GE Healthcare, Waukesha, WI) using a body phased
array coil. The imaging protocol included T2-weighted fast
spin echo sequence (voxel size = 0.78$$$\times$$$0.78$$$\times$$$4 mm3, echo time (TE)
= 92 ms, repetition time (TR) = 1010 ms, flip angle (FA) = 130°, readout
bandwidth (rBW) = 355 Hz/pixel); a
3-dimensional multiecho gradient echo sequence (matrix size = 224$$$\times$$$224$$$\times$$$30 interpolated to 512$$$\times$$$512$$$\times$$$60; voxel size = 0.78$$$\times$$$0.78$$$\times$$$4 mm3, first TE = 1.2
ms, echo spacing (
TE) = 1.1 ms, #TE = 6,
TR = 8.3 ms, rBW = 390 Hz/pixel). All acquisitions
were performed using breath-hold
technique. Additionally, patient’s clinical
history was reviewed for abdominal CT
examinations within 1 year prior to the MR imaging.
Gradient echo data was used to reconstruct QSM(11). Images were co-registered
into GRE image space using ITK-SNAP(12). When necessary due to non-rigid
deformation of the tissues and differences in
breath hold depth
between acquisitions, registration
was performed separately for the left and right kidneys. To access
the disease burden in the patient cohort, all T2w-visible cysts with sizes
greater than 2 mm in diameter were identified, counted and classified as simple
(T2 hyperintense) or complex (T2 hypointense) in 3 randomly selected subjects. In
the entire study cohort, the identified QSM hyper- and hypointense cysts were counted,
their appearance on T2-weighted
MR images were recorded, and the
prevalence of the identified QSM-based cyst subclasses was
estimated.Results
The
total kidney cyst burden in the three fully quantified subjects ranged from 145
to 396 cysts per kidney (average: 256, 95%CI: [143..368]), with majority (72%) being QSM
isointense/T2 hyperintense (Figure 1A) appearance.
The
second major class was QSM
isointense/T2 hypointense cysts
(13%, Figure 1B). The
third major cyst class was “QSM-complex” cysts appearing as
either hypo- or hyperintense on QSM.
In complete
cohort, 250 QSM-complex cysts were
identified. We established 6 subclasses of
QSM-complex cysts based on their appearance on T2w MRI:
T2 hypointense/QSM
hyperintense (Figure 2A) cysts occurred
with the highest incidence over the whole population with 106 catalogued
cysts representing 42.4% of all QSM-complex cysts. T2
hypointense/QSM hypointense (Figure 2B) cyst
subclass occurred with the second highest
incidence of 41 cysts (16.4%
of 250 of identified QSM-complex cysts). T2 isointense/QSM
hyperintense (Figure 4B) cysts subclass had
the 3rd highest incidence over the
whole population with 38 cataloged cysts representing 15.2% of all QSM-complex
cysts. T2 hyperintense/QSM
hypointense (Figure 3A) cysts occurred as the
subtype with the 4th highest incidence
(33 out of 250) , representing 13.2% of QSM -complex cysts. The two remaining cyst
subclasses together accounting for 12.8% of QSM-complex cysts
were represented by T2 hyperinense/QSM
hyperintense (6.4% of the total count)
and T2 isointense/QSM hypointense (6.4%
of the total count, Figure 4A) cysts.
In two
of the subjects, there were incidental findings in abdominal CT. In
one subject, CT revealed bilateral phleboliths in the pelvic area, while the
other had a large renal calcification in left mid-kidney. These calcifications
have been successfully visualized on QSM as distinct focal hypointensities.Discussion
The
promising results obtained in this preliminary study suggest that QSM can play
an important complementary role in ADPKD pathology assessment, especially for
distinguishing hemorrhaging and dense proteinaceous cysts, as well as for
detecting small focal calcifications in kidneys and urinary tract, improving
specificity and diagnostic confidence. While some combinations of imaging
features are readily explainable (e.g., “-/+” due to hemorrhage; “-/-” due to
high protein content), explanation of the others (e.g., “-/=” or “+/+”)
warrants further investigation and histopathological validationConclusion
Our study demonstrates that QSM can
be utilized in ADPKD subjects to distinguish hemorrhaging and dense proteinaceous
cysts, as well as to detect calcifications within the kidneys and downstream in
the urinary system.Acknowledgements
No acknowledgement found.References
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