Ko In Ok1, Choi Bup Kyung2, Park Ji Ae1, Hur Young Hoe3, Kim Hyun Chul4, Kim Jin Woong4, and Kim Hyung Joong2
1Division of Applied RI, Korea Institute of Radiological and Medical Science, Seoul, Korea, Republic of, 2Department of Biomedical Engineering, Kyung Hee University, Seoul, Korea, Republic of, 3Department of Hepato-Biliary-Pancreas Surgery, Chonnam National University Medical School, Gwangju, Korea, Republic of, 4Department of Radiology, Chosun University Hospital and Chosun University College of Medicine, Gwangju, Korea, Republic of
Synopsis
Keywords: Electromagnetic Tissue Properties, Tumor, Ionizing radiation
Motivation: Ionizing radiation produces ions inside the human body that can kill cancerous tissues by damaging DNA directly or creating charged particles that damage DNA.
Goal(s): Contrast mechanism of electrical conductivity is determined by the concentration and mobility of ions that make up tissues.
Approach: We applied MR-based conductivity imaging to mouse brain tumors to evaluate the responses in irradiated and non-irradiated tissues during the peri-irradiation period.
Results: MR-based conductivity images effectively showed acute response after irradiation in glial tumors.
Impact: High-frequency conductivity
images can differentiate each brain tissues including viable tumors, tumor
necrosis, and normal brain. It shows potential as a tool to differentiate the
therapeutic effect of radiation by measuring absolute values and calculating
percentage changes.
Synopsis
Ionizing radiation produces ions inside the human
body that can kill cancerous tissues by damaging DNA directly or creating
charged particles that damage DNA. Magnetic resonance (MR)-based conductivity imaging has
been reported as a sensitive tool to measure and evaluate the responses of
normal tissues to irradiation. The response of malignant tissues following irradiation
is required to evaluate its therapeutic effects in clinical practice.Abstract
Recent MR-based conductivity imaging reported
higher sensitivity than other MR techniques for evaluating the responses of
normal tissues immediately after irradiation1. However, it is still
necessary to verify the responses of cancer tissues to irradiation by
conductivity imaging for it to become a reliable tool in evaluating therapeutic
effects in clinical practice. In this study, we applied MR-based conductivity
imaging to mouse brain tumors to evaluate the responses in irradiated and
non-irradiated tissues during the peri-irradiation period. Absolute conductivities
of brain tissues were measured to quantify the irradiation effects, and the
percentage changes were determined to estimate the degree of response. Time-course
variations in the tissue responses of both tissues were compared before and up
to 10 days post-irradiation.Methods
For
intracranial tumors, C6 glioma cells were injected into the right
caudate-putamen of 14 Balb/c nude mice for in vivo imaging. Tumor growth
was confirmed on MR images using a 9.4T MRI (Agilent Technologies) 2 weeks
after tumor cell inoculation. The mice were divided into an irradiated group (n
= 7) and a non-irradiated group (n = 7). In the irradiated group, the mean dose
rate was 0.98 Gy/min, and the field size was 5 × 30 cm under a Co-60 gamma-ray irradiation
unit. Imaging experiments were performed before and at 0, 1, 2, 3, 7, and 10
days after irradiation in both groups. For the electrical conductivity imaging,
a multi-echo multi-slice (MEMS) spin-echo pulse sequence was applied to obtain
a B1 map, which was used to calculate high-frequency conductivity images2,3. Since
electrical conductivity is a material property that provides an absolute value,
we measured the conductivity values for the regions-of-interests (ROIs) in both
groups. The absolute conductivity of the mouse brain
tissues was used to quantify the irradiation effects. The percentage change
(%), which indicates the degree of response depending on irradiation, was
calculated following the irradiation based on the values before irradiation.Results and Discussion
Fig. 1 shows the full time-course images of
the MR and electrical conductivity of the in vivo brain tumors with and
without irradiation. All images were obtained before and 0, 1, 2, 3, 7, and 10
days after in the irradiated (Fig. 1a) and non-irradiated (Fig. 1b) groups. The
conductivity images show clear contrast changes between the two groups over
time. Specifically, the conductivity of the irradiated group shows an increase
up to 3 days after and a slight decrease up to 10 days. On the contrary, the
conductivity of the non-irradiated group shows similar contrast up to 3 days
and changes up to 10 days. The contrast of the tumor rims was clearly different
between the two groups.
Fig.
2 shows a comparison of absolute conductivity and percentage changes (%) from in
vivo mouse brain tissues with and without irradiation. ROI was placed to
cover the entire tumor tissues and was placed on the contralateral region with
the same area (Fig. 2a). The conductivity of the contralateral region with irradiation
showed an increase up to 2 days after and a gradual decrease to 10 days (Fig. 2b).
There was no clear change in the tissues without irradiation. On the contrary,
the conductivity of the tumor region with irradiation showed an increase up to
3 days after and a slight decrease to 10 days (Fig. 2c). The conductivity of
the tumor region without irradiation showed a similar contrast up to 3 days after
and gradually increased to 10 days. The percentage change of the contralateral
region with irradiation increased by 27.2% up to 2 days after and then
decreased to 12.4% (Fig. 2d). The percentage change of the contralateral region
without irradiation was not significant. Meanwhile, the percentage change of
the tumor region with irradiation increased by 61.1% up to 3 days after and
then decreased to 52.9% (Fig. 2e). The percentage change of the tumor region
without irradiation was not significant until 3 days after irradiation, but increased
to 23.2% by 10 days after. Conclusion
MR-based conductivity images effectively showed acute
response after irradiation in glial tumors. The high-frequency conductivity
images can differentiate each brain tissues including viable tumors, tumor
necrosis, and normal brain.Acknowledgements
This research was funded by the National
Research Foundation of Korea (NRF) grants funded by the Korea government (No.
2019R1A2C2088573, 2021R1I1A3050277, 2021R1A2C2004299).References
1. Park, Ji Ae, et al. In vivo measurement of
brain tissue response after irradiation: comparison of T2 relaxation, apparent
diffusion coefficient, and electrical conductivity. IEEE Trans. Med. Imaging
2019;38:2779-2784.
2. Katscher, Ulrich, et al. Magnetic Resonance
Electrical Properties Tomography (MREPT). “Electrical Properties of Tissues”.
Advances in Experimental Medicine and Biology, 2022, vol. 1380. Springer.
3. Kim,
Jin Woong, et al. Image-based evaluation of irradiation effects in brain
tissues by measuring absolute electrical conductivity using MRI. Cancers 2021;13:5490.