Literature DB >> 31034410

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

Ji Ae Park, Kyeung Jun Kang, In Ok Ko, Kyo Chul Lee, Bup Kyung Choi, Nitish Katoch, Jin Woong Kim, Hyung Joong Kim, Oh In Kwon, Eung Je Woo.   

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.

Entities:  

Year:  2019        PMID: 31034410     DOI: 10.1109/TMI.2019.2913766

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  2 in total

1.  Electrical conductivity-based contrast imaging for characterizing prostatic tissues: in vivo animal feasibility study.

Authors:  Yong Soo Cho; Young Hoe Hur; Hyun Ju Seon; Jin Woong Kim; Hyung Joong Kim
Journal:  BMC Urol       Date:  2019-10-21       Impact factor: 2.264

2.  Extracellular electrical conductivity property imaging by decomposition of high-frequency conductivity at Larmor-frequency using multi-b-value diffusion-weighted imaging.

Authors:  Mun Bae Lee; Geon-Ho Jahng; Hyung Joong Kim; Eung Je Woo; Oh In Kwon
Journal:  PLoS One       Date:  2020-04-08       Impact factor: 3.240

  2 in total

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