Ryan L Brunsing1, Signy Holmes1, Rachelle Bitton1, Bruce Daniel1, Geoffrey Sonn2, and Pejman Ghanouni1
1Department of Radiology, Stanford University, Palo Alto, CA, United States, 2Department of Urology, Stanford University, Palo Alto, CA, United States
Synopsis
The efficacy and safety of magnetic resonance imaging-guided
high intensity focused ultrasound (MRg-HIFU) treatment of intermediate risk prostate
cancer is being assessed as part of a clinical trial. Non-perfused volume (NPV)
on post-treatment contrast-enhanced imaging defines the zone of ablation,
however contrast administration precludes further treatment due to concern for
gadolinium dissociation. Thus, pre-contrast imaging tools which can predict NPV
are of value. From a cohort of 19 men who underwent MFg-HIFU for treatment of prostate
cancer, we show that post-treatment DWI can predict NPV, with the potential to
increase confidence in predicting the ablation zone prior to contrast
administration.
Introduction
Prostate
cancer remains a leading cause of cancer-related mortality, yet morbidity
associated with prostatectomy and whole-gland radiation therapy motivate the
study of focal therapy 1,2. Magnetic resonance imaging-guided high
intensity focused ultrasound (MRg-HIFU) treatment is being investigated as a
treatment option for MR-visible, intermediate-risk prostate cancer 3-5. During MRg-HIFU procedures, intra-operative MR
thermometry predicts that adequate temperatures for cell death have been
reached within the targeted region around the tumor 3,4,6. However, tissue that was not fully ablated can
be erroneously predicted to have reached thermal dose; for example, treatment-related
prostate swelling can lead to errors in dose registration to the targeted tumor.7,8 To confirm treatment adequacy in the immediate
post-procedural setting, post-contrast imaging of the non-perfused volume (NPV)
marks the area of tissue ablation (Figure 1) 9. However, if treatment appears incomplete after
contrast is administered, further ablation is not possible due to theoretical risks
associated with heat-dependent gadolinium dissociation. Incomplete treatment
risks residual or recurrent cancer. Thus, there is a need for a pre-contrast
imaging technique that more accurately predicts NPV. Here we validate
post-treatment diffusion weighted imaging (DWI) as an effective method for
predicting post-treatment non-perfused volume.Methods
This
retrospective study included 24 consecutive patients with intermediate-risk
cancer treated with MRg-HIFU as part of an IRB-approved multicenter clinical
trial (NCT01657942). MRg-HIFU was performed as previously described 3-5 under general anesthesia. Immediate post-therapy
imaging (T2, DWI, T1 pre-, and T1 post-contrast imaging) was anonymized and
randomized. Five patients were randomly selected to serve as a training set. For
the 19 remaining patients, volumes of interest (VOIs) estimating the ablation
zone were drawn slice-by-slice on the DWI images (DWI-VOI), blinded to patient
data, lesion location and post-contrast imaging. Post-treatment T2 weighted
imaging and ADC maps were available for review. Post-contrast images were then aligned
to DWI via landmark-based affine registration with 8-10 landmarks per case. Patients
were again randomly ordered and, blinded to all other imaging and the DWI-VOI,
NPV-VOIs were drawn. Slice-by-slice VOI overlap was estimated using Dice
similarity coefficients (DSC). Student’s t-test was used on compare DSC in
binary variables, with p<0.05 considered significant. Linear regression
analysis was used to individually assess the relationship between DSC and
continuous variables. VOI measurements, image registration, and DSC
calculations were performed using 3D Slicer 10,11.Results
19
men (median age 63, range 54-81; median pretherapy PSA 6.7, range 1.0-12.0) with
intermediate risk prostate cancer were included in the analysis; 74% (14/19)
with Gleason 3+4, and 26% (5/19) with Gleason 4+3. There was no difference in treated
volumes predicted by DWI-VOI (mean 9.4cc, SD = 3.2cc) and NPV-VOI (mean 9.2cc,
SD = 3.0cc), p = 0.85. The average difference between the VOIs was 1.7cc (18%
of the average VOI). The mean DSC was 0.74 (SD = 0.07, range 0.61-0.84). There
was no significant difference in DSC between tumors sparing or involving the
apex (0.732 v 0.758; p=0.39) or between Gleason 3+4 v 4+3 disease (0.728 v
0.753; p=0.54). There was no correlation between DSC and prostate volume (R2=0.04),
lesion volume (R2=0.01), treatment dose volume (R2=0.10)
or NPV (R2=0.01). Observational assessment of the 5 training cases
and the 19 blinded cases suggest that the loss of signal on DWI correlates with
extension of the ablation zone beyond the prostate margin.Discussion
DISCUSSION: Margins defined by post-ablation DWI correlate
with NPV following MRg-HIFU of the prostate, with similar volumes predicted by
DWI and post-contrast imaging. While re-treatment is not possible after giving
contrast, use of DWI during and immediately after treatment may enable
re-treatment when necessary. Also, during treatment thermal dose may appear on
slices adjacent to the targeted center slice. DWI could be used to verify thermal
dose predicted in these areas that were not directly targeted, potentially saving
time and improving safety by avoiding reheating areas that were already ablated.
While there was moderate similarity between affine
co-registered VOIs, future efforts will utilize elastic registration to more accurately
align DWI and post-contrast imaging. There were also some challenges in
defining margins where the NPV extends beyond the prostate capsule, which may
have contributed to differences in volume and image registration. These
limitations may be addressed in future analyses using T1 precontrast imaging
and low b value DWI to improve prostate contour delineation.Conclusion
DWI appears to be a useful tool for imaging-based prediction of the ablation zone during and immediately after MRg-HIFU of the prostate, with the potential to confirm adequate treatment while re-treatment remains possible prior to contrast administration. Acknowledgements
No acknowledgement found.References
1. Fridriksson,
J. et al. Long-term adverse effects
after curative radiotherapy and radical prostatectomy: population-based
nationwide register study. Scand J Urol
50, 338-345,
doi:10.1080/21681805.2016.1194460 (2016).
2. Miller, D. C. et al. Long-term outcomes among localized prostate cancer
survivors: health-related quality-of-life changes after radical prostatectomy,
external radiation, and brachytherapy. J
Clin Oncol 23, 2772-2780,
doi:10.1200/JCO.2005.07.116 (2005).
3. Napoli, A. et al. Real-time magnetic resonance-guided high-intensity focused
ultrasound focal therapy for localised prostate cancer: preliminary experience.
Eur Urol 63, 395-398, doi:10.1016/j.eururo.2012.11.002 (2013).
4. Ghai, S. et al. Real-Time MRI-Guided Focused Ultrasound for Focal Therapy
of Locally Confined Low-Risk Prostate Cancer: Feasibility and Preliminary
Outcomes. AJR Am J Roentgenol 205, W177-184, doi:10.2214/AJR.14.13098
(2015).
5. Yuh, B., Liu, A., Beatty, R.,
Jung, A. & Wong, J. Y. Focal therapy using magnetic
resonance image-guided focused ultrasound in patients with localized
prostate cancer. J Ther Ultrasound 4, 8, doi:10.1186/s40349-016-0054-y
(2016).
6. Zhu, M., Sun, Z. & Ng, C. K.
Image-guided thermal ablation with MR-based thermometry. Quant Imaging Med Surg 7,
356-368, doi:10.21037/qims.2017.06.06 (2017).
7. Boss, A. et al. Magnetic susceptibility effects on the accuracy of MR
temperature monitoring by the proton resonance frequency method. J Magn Reson Imaging 22, 813-820, doi:10.1002/jmri.20438
(2005).
8. Peters, R. D., Hinks, R. S. &
Henkelman, R. M. Heat-source orientation and geometry dependence in
proton-resonance frequency shift magnetic resonance thermometry. Magn Reson Med 41, 909-918 (1999).
9. Fite, B. Z. et al. Magnetic resonance imaging assessment of effective ablated
volume following high intensity focused ultrasound. PLoS One 10, e0120037,
doi:10.1371/journal.pone.0120037 (2015).
10. Fedorov, A. et al. 3D Slicer as an image computing platform for the
Quantitative Imaging Network. Magn Reson
Imaging 30, 1323-1341,
doi:10.1016/j.mri.2012.05.001 (2012).
11. Bharatha, A. et al. Evaluation of three-dimensional finite element-based
deformable registration of pre- and intraoperative prostate imaging. Med Phys 28, 2551-2560, doi:10.1118/1.1414009 (2001).