Ely R Felker1, Leonard Marks2, Fuad Elkhoury2, David Lu1, Daniel Margolis3, Sepideh Shakeri1, Pooria Khoshnoodi4, Lorna Herbert2, Nathan White5, David Karow6, and Steven Raman1
1Radiology, UCLA, Los Angeles, CA, United States, 2Urology, UCLA, Los Angeles, CA, United States, 3Radiology, Cornell, New York, NY, United States, 4Pathology, University of Minnesota, Minneapolis, MN, United States, 5UCSD, San Diego, CA, United States, 6Human Longevity Institute, San Diego, CA, United States
Synopsis
We evaluated the utility of restriction spectrum imaging (RSI), a novel diffusion-based technique to detect and to characterize prostate cancer among men enrolled in a national cancer institute-funded prospective clinical trial of magnetic resonance ultrasound fusion biopsy. RSI was statistically significantly associated with clinically significant prostate cancer.
Introduction
Restriction
spectrum imaging (RSI) is a novel advanced diffusion-based technique, which has
been used to image prostate cancer (PCa) in a few small studies (1-3). Some of the purported advantages over
conventional diffusion-weighted imaging (DWI) include: less spatial distortion,
superior tumor contrast-to-noise, and the ability to obtain a normalized in
vivo measure of tumor cellularity (4), however, this technique has not yet been
widely validated.
The purpose of
this study was to investigate the utility of RSI for prediction of PCa
aggressiveness in men undergoing magnetic resonance (MR)-ultrasound (US) fusion
biopsy (FB).Methods
106 consecutive
men enrolled in an institutional review board-approved National Cancer
Institute-funded prospective clinical trial (PAIREDCaP) underwent pre-biopsy 3.0 T multiparametric (mp) MRI,
which included multiplanar T2-weighted imaging (T2WI), conventional
diffusion-weighted imaging (DWI), dynamic contrast enhancement (DCE) and
RSI. RSI was performed using spin-echo
echoplanar imaging with b values of
0, 250, 750, and 2000 s/mm2 with 6, 6 and 15 directions at each
nonzero b value. RSI cellularity maps were derived using the
signal fraction of the registered isotropic component of the diffusion spectrum
and overlaid on axial T2WI, as has been described previously (5). Cellularity maps were constructed using data
from all b values, which were
standardized across all patients to obtain z
score maps. RSI z score maps were calculated by measuring the mean and standard
deviation of normal prostate signal from the raw RSI cellularity data (measured
in the same zone, ipsilateral to the lesion in an area determined to be normal
on MRI and on sextant biopsy) subtracting the measured mean value from each
subject’s cellularity map, and dividing the result by the standard deviation of
the measured normal prostate. The
reference standard in all cases was MR-US FB, which included 12-core systematic
biopsy and targeted biopsy (2-4 cores) through each lesion with a PI-RADSv2
assessment category > 3. Clinical
and imaging features were compared among men with and without clinically
significant (cs) PCa (Gleason > 3 + 4). Multivariate logistic regression was
performed to determine significant predictors of csPCa. Results
57/106 men (54%)
had csPCa on FB. Mean age was
significantly higher in men with csPCa compared to those without (65.9 +
6.2 years versus 64.2 + 7.0 years, P
= 0.001). Median PSA density was
significantly higher among men with csPCa (0.18 ng/mL2 versus 0.10
ng/mL2, P <
0.0001). PI-RADSv2 assessment category
was significantly higher among men with csPCa, P < 0.0001. Median
apparent diffusion coefficient was significantly lower among men with csPCa
(798 versus 978, P < 0.0001), and
median RSI z score was significantly
higher among men with csPCa (3.3 versus 1.4, P = 0.0002). On multivariate
logistic regression, controlling for PI-RADSv2 assessment category, an RSI z score > 3 had an odds ratio
of 2.31 for Gleason > 3 + 4, with a trend toward statistical
significance, P = 0.06. Discussion
DWI has
consistently been shown to be useful for PCa detection and characterization at
mpMRI (6-8), but it is subject to significant distortion from B0
magnetic field inhomogeneities, such as occur in the presence of rectal gas or
hemorrhage. Another limitation of DWI is
that the ADC cannot be standardized across different imaging platforms. RSI z
score, on the other hand, inherently normalizes across the population studied
and thus could serve as a more useful imaging biomarker for comparison across
different scanners and institutions. Our
results show a statistically significant difference between RSI z scores among patients with and without
csPCa. Additionally, on multivariate logistic regression there was a trend
toward significance for prediction of csPCa, when controlling for PI-RADSv2
assessment category, with an odds ratio of 2.3 for an RSI z score >3. Conclusion
RSI z score is significantly associated with
csPCa and may hold promise as a more reproducible metric of diffusion
restriction compared to ADC. Future
studies are needed to validate these preliminary findings.Acknowledgements
No acknowledgement found.References
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