Xing Lu1,2, Annette von Drygalski3, Alexey Dimov4, Lena Volland3, Zhe Liu4, Yi Wang4, Jiang Du1, and Eric Y Chang1,5
1Department of Radiology, University of California, San Diego, CA, United States, 2Institute of Electrical Engineering, Chinese Academy of Science, Beijing, People's Republic of China, 3Department of Medicine, Division of Hematology/Oncology, University of California, San Diego, CA, United States, 4Department of Radiology, Weill Cornell Medical College, New York, NY, United States, 5Radiology Service, VA San Diego Healthcare System, San Diego, CA, United States
Synopsis
Hemosiderin
deposition in hypertrophic synovium is a hallmark of progressive hemophilic
arthropathy and accumulates with joint bleeding. .
Conventional quantification of hemosiderin uses semi-quantitative MRI scores,
assigning grades of small, moderate, or large to assess the burden of
hemosiderin. To date, there is no known method to assess or
quantify hemosiderin concentration within synovium due to the extremely short
T2 values of this tissue. In
this pilot study, we demonstrated that the clinically compatible IDEAL UTE-CS-QSM
technique can be used to quantify hemosiderin depositions. We have shown that
synovium in joints with hemophilic arthropathy demonstrates various
susceptibility values, likely corresponding to different concentrations of
hemosiderin.
Introduction
Hemophilia
is an inherited bleeding disorder, which affects ~1:5,000 – 1:25,000 live male
births. Abnormal bleeding results from a deficiency of either factor VIII or IX
blood-clotting proteins. A debilitating and common manifestation is spontaneous
joint bleeding, which results in the progressive accumulation of
hemosiderin-laden synovium. When uncontrolled, this results in articular
destruction necessitating joint replacement. Despite prophylactic dosing of
clotting factor concentrates that greatly reduce overt joint bleeding, many
patients’ joints continue to deteriorate partly due to continued subclinical
bleeding. To optimize highly costly prophylactic treatment strategies (>$150,000/year/patient)
it would be very desirable to develop a non-invasive method to quantify the
burden of subclinical bleeding by interval measurements of increasing
hemosiderin accumulation within the joint. Existing conventional techniques
only permit semi-quantitative estimates of hemosiderin and preclude sensitive
quantification due to the extremely short T2* of hemosiderin. Purpose
To
utilize a 3D ultrashort echo time technique with cones readout combined with chemical
shift quantitative susceptibility mapping (UTE-CS-QSM) on volunteers and
patients with hemophilic arthropathy for assessment of hemosiderin-laden
synovium. Methods
Subjects: Three healthy volunteers (mean age 31 ± 3.2
years) and three patients with hemophilic arthropathy ranging from mild to
severe (mean age 50 ± 22.5 years) provided written informed consent for this
IRB-approved, HIPAA-compliant study.
Protocol: Imaging was performed on a 3T clinical
scanner (Signa HDx, GE Healthcare, Milwaukee, WI) using an 8-channel
transmit-receive knee coil. In addition to conventional clinical sequences,
UTE-CS-QSM imaging parameters included the following: two sets of four-echo
UTE-Cones acquisitions (TEs=0.03/3/6/9 ms and 0.4/4/7/10 ms, TR=15.6, FA=14,
FOV=19.2 cm, 1mm isotropic voxel size, imaging time 8 minutes).
Image Processing and Analysis: Nonuniform fast Fourier transform (NUFFT)
with the Kaiser-Bessel kernel and min-max interpolation was implemented1.
Because of the non-uniform sampling density of our 3D UTE-Cones trajectory,
density compensation was applied to the measured signal prior to regridding.
Each data set was reconstructed on a coil-by-coil and echo-by-echo basis. Phase
combination was applied by multiplying the conjugate of the first echo data of
each coil.
Water, fat, and field
map were then obtained using IDEAL-based techniques. In the current work, field
map estimation was carried out using a graph cut based method2-3.
The resulting inhomogeneity field was then passed to the morphology enabled
dipole inversion (MEDI) pipeline for susceptibility calculation4. T2*
and R2* maps were calculated using the same dataset and a least square fitting
method. Regions of interest (ROIs) were manually selected and mean values were
compared.
Results
Excellent
water, fat, and inhomogeneity maps were obtained using the IDEAL-based
technique for all scans. Figures 1 and 2 are representative images for a
healthy volunteer and a patient with severe hemophilic arthropathy,
respectively. In the healthy volunteer, there is no joint effusion or synovial
hypertrophy and the QSM map shows no distinct nodules of increased
susceptibility in the collapsed suprapatellar recess (white arrow, Figure 1J). However,
in the patient with severe hemophilic arthropathy, three distinct nodules of
positive susceptibility are seen in the suprapatellar recess, measuring between
1.66 – 1.70 ppm, indicating paramagnetism related to hemosiderin-laden synovium
(Figure 2J). UTE-CS-QSM maps can be used to detect and quantify hemosiderin deposits.
Discussion
Hemosiderin deposition in hypertrophic synovium is a
hallmark of progressive hemophilic arthropathy and accumulates with joint
bleeding. Therefore, hemosiderin can be considered a biomarker, which, if
quantifiable, could be critical to optimize joint bleeding prevention strategies.
While hemosiderin can be detected with conventional MRI sequences, they are
insensitive to quantification. Conventional quantification of hemosiderin uses
semi-quantitative MRI scores, assigning grades of small, moderate, or large to
assess the burden of hemosiderin5. To date, there is no known method
to assess or quantify hemosiderin concentration within synovium due to the
extremely short T2 values of this tissue.
In this pilot study, we have demonstrated that the
clinically compatible IDEAL UTE-CS-QSM technique can be used to quantify
hemosiderin depositions. We have shown that synovium in joints with hemophilic
arthropathy demonstrates various susceptibility values, likely corresponding to
different concentrations of hemosiderin. Further refinement of these techniques
for broad clinical application appears critical to further advance care by
providing an imaging tool to gauge effectiveness of current treatment
strategies to prevent the progression of hemophilic arthropathy, a debilitating
comorbidity in hemophilia.Acknowledgements
The authors acknowledge grant funding from the VA Clinical
Science R&D Service (Merit Award I01CX001388), Biogen, Health Resources and
Services Administration, National Natural Science Foundation of China (NSFC 51607169)
and Chinese Scholarship Council Grant (CSC 201504910174). We acknowledge the
use of the Fat-Water Toolbox (http://ismrm.org/workshops/FatWater12/data.htm).References
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