Milica Medved1,2, Aritrick Chatterjee1,2, Ajit Devaraj3, Carla Harmath1, Grace Lee1, Ambereen Yousuf1,2, Tatjana Antic4, Aytekin Oto1,2, and Gregory S Karczmar1,2
1Radiology, The University of Chicago, Chicago, IL, United States, 2Sanford J. Grossman Center of Excellence in Prostate Imaging and Image Guided Therapy, The University of Chicago, Chicago, IL, United States, 3Philips Research NA, Cambridge, MA, United States, 4Pathology, The University of Chicago, Chicago, IL, United States
Synopsis
HiSS MRI is an echo-planar spectroscopic imaging
(EPSI)-based method focusing on the shape and structure of the water and fat
resonances. In the prostate, temporal signal
decay parameters (ROC AUC 0.74-0.91) and spectral resonance shape parameters (ROC
AUC 0.83-0.91) show high diagnostic potential.
Spectral shape parameters do not correlate strongly with temporal decay
parameters. Thus, they carry information
complementary to the standard clinical multi-parametric MRI and can likely be
utilized to improve its diagnostic performance in prostate cancer.
INTRODUCTION
High Spectral and Spatial resolution (HiSS) MRI
is an echo-planar spectroscopic imaging (EPSI)-based method that focuses on the
shape and structure of the water and fat resonances. It acquires coherent multi-echo images, hence
providing spectral information, and has been shown to have high diagnostic
potential in breast cancer.1-3 The less favorable coil geometry and histological
differences make it unclear whether HiSS MRI can be translated to prostate
imaging, though. Here, we evaluate the feasibility
and diagnostic potential of HiSS MRI in prostate cancer.METHODS
Six patients scheduled for prostatectomy
underwent prostate MRI without an endorectal coil on a 3T Philips Ingenia scanner. The MRI protocol included T2-weigthed MRI (T2w),
DWI, DCEMRI, and HiSS MRI (in-plane resolution 0.8-1.25 mm, three 3.0 mm
slices, 0.5 mm gap, spectral resolution 2.6-3.5 Hz, TR/TE 463/230 - 652/162 ms,
flip angle 90 deg, SENSE factor 1.5), with HiSS MRI acquired after contrast
injection. DWI images were processed to
obtain apparent diffusion coefficient (ADC) maps. The 1 cm HiSS MRI slab was centered on the largest
lesion seen on T2w and yielded a train of 127 phase-coherent gradient echo
images. The echo train was Fourier transformed
yielding the proton spectrum in each voxel, revealing water resonance detail. In the temporal domain, changes in logarithm
of voxel signal intensity were analyzed and linear (R) and quadratic (R1, R2)
quantifiers of decay were calculated.4 In the spectral domain, three parameters independent
on signal scaling were calculated: water resonance peak width (PW), relative
peak asymmetry (PRA), and relative peak distortion from ideal Lorentzian shape
(PRD).5-8 MRI images were correlated with prostatectomy to
outline 7 cancer and 5 benign regions of interest (ROIs). The 6 HiSS MRI-derived parameters (R, R1, R2,
PW, PRA, PRD) were calculated on a voxel-by-voxel basis, and analysis was
conducted on their ROI averages. Differences between values calculated in cancerous
and benign ROIs were evaluated using the one-sided t-test. Correlation between parameters was evaluated
using the Spearman correlation coefficient.
The statistical significance level was set to 0.05. Diagnostic performance was evaluated via ROC analysis
and quantified with ROC AUC.RESULTS
Figure 1 shows representative spectra in three
voxels in an axial slice through a prostate, demonstrating high signal to noise
ratio (SNR, typically 50-150 in a single voxel) and high reproducibility of water
resonance shape and/or structure on repeated measurements. Figure 2 depicts the T2w image, ADC map,
shortest-TE HiSS MRI image, and maps of 6 HiSS MRI-derived parameters, for a
representative case.
The statistics, p-values, and receiver operator characteristic
area under the curve (ROC AUC) values for the HiSS MRI parameters are shown in Table
1. Spectral domain quantifiers performed
better overall than temporal domain quantifiers, with the highest ROC AUC
values found in R (0.91) and PW (0.91). All HiSS MRI-derived parameters showed
statistically significant differences between benign and cancerous ROI values,
except for R2. PRD and PRA increase with
increased resonance shape distortion and are thus markers of tissue
inhomogeneity, and were relatively decreased in cancer ROIs.
The Spearman correlation coefficient was high between PW and
R (-0.95), which are both inversely related to T2* values, and between PRD and
PRA (0.84), which are both markers of a non-Lorentzian water resonance shape. The correlation coefficients between PW and
R, one one hand, and PRD and PRA, on the other, were low (-0.25 - +0.38). DISCUSSION
High SNR and reproducibility of HiSS MRI-acquired
spectra demonstrate feasibility of HiSS MRI in the prostate at 3T without an
endorectal coil. The high SNR indicates
the possibility of whole-prostate coverage in clinically feasible times using
increased acceleration factors. The
cancer and normal tissue ROIs were drawn on the T1-weighted, shortest-TE HiSS
MRI image, and thus were effectively blinded to HiSS contrast. Further, the ROIs were not paired and the
parameter values were not normalized in an intra-subject manner. Thus, HiSS MRI-derived parameters reported here
are absolute quantifiers that can support inter-subject comparisons.
The spectral domain parameters showed better
overall diagnostic performance than temporal domain parameters. This is likely due to the fact that the
spectral parameters utilize the phase coherence along the echo train, and thus
have higher information content.
Interestingly, PRD and PRA are reduced in prostate cancer ROIs. This is opposite to breast imaging results,
where cancer is marked with increased heterogeneity, but is consistent with the
higher tissue homogeneity in epithelium-dense prostate cancer.
Low absolute values of the coefficients of
correlation between PW and R (characterizing peak broadening and hence the
temporal decay constant) on one hand, and PRD and PRA (characterizing peak
shape and structure) on the other, are notable.
They indicate that PRD and PRA carry information complementary to the
standard clinical mp-MRI and could thus be leveraged to improve accuracy.CONCLUSION
Our results demonstrate the feasibility of HiSS
MRI in the prostate at 3T without an endorectal coil and its potential utility for
diagnosis of prostate cancer. Spectral
domain parameters showed better diagnostic performance overall, likely due to
the higher information content. Water
resonance structure quantifiers are complementary to the standard multi-parametric
MRI of the prostate and thus have potential to improve diagnostic accuracy. Acknowledgements
This work was supported by the University of
Chicago Comprehensive Cancer Center from the National Cancer Institute Cancer
Center Support Grant P30CA014599; the National Institutes of Health (NIH
5R01CA167785, NIH 1R01CA228036-01A1, R01CA172801; and S10OD018448); Philips
Research, NA; Guerbet LLC; and the Segal Foundation.References
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