Sin-Yuin Yeo1, Ulrich Katscher2, Young-Sun Kim3, and Holger Gruell1
1University Hospital Cologne, Cologne, Germany, 2Philips Research Europe, Hamburg, Germany, 3Samsung Medical Center, Seoul, Korea, Republic of
Synopsis
MR-HIFU is a
non-invasive thermal therapy used to treat symptomatic uterine fibroids. During
therapies, clinicians utilize information provided by MRI for treatment planning
and to ensure ablation of fibroids using non-invasive temperature monitoring via
PRFS thermometry. Thereafter, the therapeutic outcome is determined by measuring
the non-perfused volume (NPV) following contrast agent administration. We present
a case study using Electric Properties Tomography (EPT) for assessment of treatment
outcome by correlating the change in conductivity to the NPV. An increase in
conductivity of up to 20% was observed. Thus, EPT is a promising approach for
assessment of treatment outcome.
Introduction
Magnetic
resonance imaging (MRI)-guided high intensity focused ultrasound (MR-HIFU) is a
non-invasive thermal therapy, which is used to treat symptomatic uterine
fibroids. During therapies, clinicians utilize the information provided by MRI
to plan the treatment, and to ensure ablation (> 56°C) of the fibroids using non-invasive temperature monitoring based
on proton resonance frequency shift (PRFS) thermometry. Thereafter, the
therapeutic outcome is determined by measuring the non-perfused volume (NPV)
following an MR contrast agent (CA) administration. However, there are a few
drawbacks associated with using the NPV as a measure for therapeutic outcome.
Firstly, presence of gadolinium (Gd)-based MR CA has been shown to influence
PRFS thermometry leading to temperature errors between -4 and +3 °C [1]. Consequently, CA is only injected at the end of the therapy,
and clinicians do not have the option to immediately perform additional
treatment to improve treatment outcome. Secondly, patients who have contra-indication
for MR CA are excluded from MR-HIFU. To overcome these limitations, different
MRI sequences, which provide comparable information to contrast-enhanced MRI,
should be investigated. Here, we present a case study on the use of MR Electric
Properties Tomography (EPT, [2]) for assessment of treatment outcome by
correlating the change in conductivity to the NPV. An increase in conductivity
was expected as ablation causes protein denaturation and cell membrane damage,
leading to an increase in ion mobility and concentration, and thus, in
conductivity.Materials and Methods
A 37-year-old
female patient with multiple fibroids was treated with a volumetric 1.5 T MR-HIFU
system (Philips Sonalleve®). EPT was based on a balanced Fast Field Echo (bFFE)
sequence (TR/TE=2.4/1.2 ms, voxel=2.5×2.5×2.5
mm³, flip=30°) acquired prior to and at 1.5 hours after
MR-HIFU ablation. It is assumed that after this time, temperature of treated
tissue is back to normal body temperature, and thus conductivity is not impacted
by direct thermal effects [3]. Following acquisition of EPT, gadolinium-tetraazacyclododecanetetraacetic
acid (0.1 mmol/kg; Dotarem, Guerbet) was administered intravenously, and
contrast-enhanced T1-weighted MRI was performed to evaluate the NPV. Conductivity
reconstruction was performed using the phase-based approach of EPT [2] and a
subsequent bilateral median filter using tissue boundaries delineated from the bFFE
magnitude image [4]. The average conductivity was determined by drawing a
region of interest around the whole index fibroid, and subsequently analyzed
using ImageJ® [5].Results
As shown in
Figure 1, the average conductivities of the subserosal fibroid before and after
treatment were 1.02 S/m and 1.14 S/m, respectively. Similarly, the submucosal
fibroid showed a 20.9% increase in conductivity from 1.10 S/m before to 1.33
S/m post treatment.Conclusion
EPT is a
promising approach for assessment of treatment outcome. Further studies are
needed to demonstrate its clinical applicability as EPT has the potential to be
used not only as readout at the end of the therapy, but also during the therapy
for immediate optimization of treatment approach.Acknowledgements
This research is supported by the EU FP7 grant IPaCT, project ID 603028.
References
[1] Hijnen NM et al. JTU, 2013, 1:8.
[2] Voigt T et al., MRM 66 (2011) 456
[3] Leussler C et al., ISMRM 20 (2012) 3451
[4] Katscher U et al., ISMRM 20 (2012) 3482
[5] Rasband, W.S., ImageJ, U.S. National Institutes of Health, Bethesda, Maryland, USA, http://imagej.nih.gov/ij/, 1997-2016.