Houchun Harry Hu1, Thomas Benkert2, Mark Smith1, Jerome Rusin1, Aaron McAllister1, Jeremy Jones1, Ramkumar Krishnamurthy1, and Kai Tobias Block1
1Radiology, Nationwide Children's Hospital, Columbus, OH, United States, 2Radiology, New York University Medical Center, New York, NY, United States
Synopsis
MRI methods that are insensitive to physiological motion are attractive
in pediatric applications. In this work,
we compare a 3D T1-weighted radial acquisition with conventional multi-slice
TSE in post-contrast spine imaging at 3T in seven patients. Images were rated by three
neuroradiologists. Radial data were perceived
as more diagnostic than TSE and Cartesian TSE data were significantly more
impacted by motion and pulsation. Qualitatively, radial images yielded
improved spinal cord to CSF signal contrast and better conspicuity of nerve
roots than TSE data. In evaluating secondary CSF tumor spread, radial spine
MRI provides a confident "first-time-right" protocol than TSE scans.
INTRODUCTION
Free-breathing MRI scans are highly applicable in pediatric imaging as
they reduce the need for unnecessary sedation and long breath-holds. The
scans also negate the need for the patient to follow technologist instructions
on breath-holding, and are helpful when patients have difficulty comprehending
or do not speak the communication language. MRI methods that are inherently
insensitive to physiological motion are also attractive as they remove the need
for signal gating. We evaluate herein a radial "stack of stars"
gradient echo acquisition called RAVE-RAdial Volumetric Encoding (e.g. Siemen’s
radial VIBE) [1, 2] in post-contrast spine imaging. We compare RAVE
results with conventional Cartesian multi-slice TSE, a commonly used sequence in spine MRI. The benefits of
radial spine MRI in children was previously shown at 1.5T [3]. In this
work, we assess whether RAVE can replace traditional T1-weighted TSE spine
imaging at 3T, where physiological motion and pulsation frequently hamper
diagnostic image quality in visualizing metastases along the spinal cord
and cerebrospinal fluid (CSF).METHODS
Studies were performed on a 3T Siemens PRISMA using the posterior array. We retrospectively reviewed seven (4F, 3M) patients for this
pilot study (age:15±3y) who were scheduled for routine non-sedated exams of
their whole-spine with contrast for clinical indications and who had both TSE and RAVE scans performed. Parameters for
axial TSE were: 0.6mm in-plane resolution, 5mm slices with 5-6mm gap,
TR/TE 610/9.1ms, no parallel imaging, two signal averages, bandwidth
270Hz/pixel, 150o refocusing angle, echo train length 3, and anterior
suppression slabs over the chest and abdomen. Typically, 30-40 slices are
acquired per station, and multiple overlapping stations are prescribed to cover
the cervical, thoracic, and lumbar spine. The RAVE stack-of-stars was a
3D spoiled GRE sequence with: 0.7mm in-plane resolution, 3mm contiguous slices,
TR/TE 4.5/2.1ms, 600-700 spokes per slice, 10% slice oversampling, no parallel
imaging, no suppression slabs, frequency-selective fat suppression, bandwidth
490Hz/pixel, and 50-70 slices per station. Consecutive radial spokes
within each kz-encoded plane are rotated by the golden-angle. Both sequences were performed after
Gadavist contrast administration, with TSE first. All data were acquired
free-breathing and without triggering. RAVE data were reconstructed using
the online Siemens ICE framework. Typical scan times for the TSE were 4-5min per
station. The RAVE sequence yields 20-30% more slices in the same time
period. Three attending pediatric neuroradiologists independently
compared the two sequences and were asked the following questions: Are the TSE
and RAVE images diagnostic? Are the TSE and RAVE images affected by
motion, blurring, and CSF pulsation? Could the diagnosis have been made with
RAVE only? For each of these questions, we utilized a simple 3-choice
scale (No, Partial, Yes). Kappa statistic and Mann-Whitney U test were
computed.RESULTS
Figure 1 summarizes the evaluation
scores. Despite some variability
amongst the three raters, the data trend shows RAVE data to be perceived as
more diagnostic than TSE (p<0.05), and relatedly that TSE data were
significantly more impacted by motion and CSF pulsation than RAVE (p<0.05,
Mann-Whitney U-test). Overall, the neuroradiologists found the RAVE images to
yield improved spinal cord to CSF signal contrast and better conspicuity of
nerve roots than TSE data. The Fleiss' Kappa coefficient was 0.38 for all
three raters. Pair-wise Cohen's Kappa coefficients between radiologists 1
and 2, 2 and 3, and 1 and 3 were 0.28, 0.28, and 0.59, respectively.
Pooling the results together, the maximum count per score category is 21
(7 patients x 3 radiologists). For determining whether each sequence's
images were of diagnostic quality, 47.6% (10 counts) deemed TSE non-diagnostic,
while 71.4% (15 counts) deemed RAVE diagnostic; conversely, 71.4% (15 counts)
identified TSE to have motion-corrupted artifacts that impacted visualization
of the spinal cord, while only 9.5% (2 counts) identified motion-related blurring
in RAVE; finally, 85.7% (18 counts) determined RAVE to be adequate alone for
patient diagnosis, rendering the TSE sequence unnecessary. Figures
2-4 illustrate representative examples from three patients.
CONCLUSION
Our pilot data demonstrates the utility of a 3D T1-weighted radial
technique in non-sedated pediatric post-contrast spine and spinal cord imaging.
The technique affords pediatric patients greater comfort by allowing them
to free-breathing while yielding diagnostically useful images nearly free
of motion and CSF pulsation artifacts. In comparison to the 1.5T study by
Cho, et al. [3], we were able to achieve slightly thinner slices with
RAVE in this study at 3T. For patients with primary brain tumors, the presence of secondary CSF
tumor spread is the single most critical outcome for the post-contrast spine exams,
and RAVE provides neuroradiologists with a more robust and
confident "first-time-right" protocol than conventional TSE scans. Acknowledgements
The authors thank Siemens for support, in particular Ning Jing, Chris Boyea, Stuart Schmeet, Christianne Leidecker, and Christian Eusemann.References
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