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In Vivo Measurement of Brain Tissue Response After Irradiation: Comparison of T2 Relaxation, Apparent Diffusion Coefficient, and Electrical Conductivity.

Authors :
Park JA
Kang KJ
Ko IO
Lee KC
Choi BK
Katoch N
Kim JW
Kim HJ
Kwon OI
Woo EJ
Source :
IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2019 Dec; Vol. 38 (12), pp. 2779-2784. Date of Electronic Publication: 2019 Apr 29.
Publication Year :
2019

Abstract

Radiation therapy (RT) has been widely used as a powerful treatment tool to address cancerous tissues because of its ability to control cell growth. Its ionizing radiation damages the DNA of cancerous tissues, leading to cell death. Medical imaging, however, still has limitations regarding the reliability of its assessment of tissue response and in predicting the treatment effect because of its inability to provide contrast information on the gradual, minute tissue changes after RT. A recently developed magnetic resonance (MR)-based conductivity imaging method may provide direct, highly sensitive information on this tissue response because its contrast mechanism is based on the concentration and mobility of ions in intracellular and extracellular spaces. In this feasibility study, we applied T2-weighted, diffusion-weighted, and electrical conductivity imaging to mouse brain, thus, using the MR imaging to map the tissue response after radiation exposure. To evaluate the degree of response, we measured the T2 relaxation, apparent diffusion coefficient (ADC), and electrical conductivity of brain tissues before and after irradiation. The conductivity images, which showed significantly higher sensitivity than other MR imaging methods, indicated that the contrast is distinguishable in different ways at different areas of the brain. Future studies will focus on verifying these results and the long-term evaluation of conductivity changes using various irradiation methods for clinical applications.

Details

Language :
English
ISSN :
1558-254X
Volume :
38
Issue :
12
Database :
MEDLINE
Journal :
IEEE transactions on medical imaging
Publication Type :
Academic Journal
Accession number :
31034410
Full Text :
https://doi.org/10.1109/TMI.2019.2913766