Abstract

Simple SummaryNon-invasive quantification of radiation-induced damage is an important factor in radiation therapy to maximize radiation dose to cancer cells while minimizing damage to surrounding healthy tissue. Development of imaging biomarkers to assess post-RT effects accurately at an early stage is important for better prognosis and to individualize the management of brain tumors. Recent MR-based electrical conductivity imaging provides novel contrast information based on the concentration and mobility of ions constituting tissue and can exhibit high sensitivity in quantifying the therapeutic effect of ionizing radiation used in cancer treatment. This study suggests that the change in conductivity at different doses can provide a way to quantify the response of the tissue to irradiation, and the variation in conductivity with the elapsed time shows potential as a tool to monitor the therapeutic effect of radiation.Radiation-induced injury is damage to normal tissues caused by unintentional exposure to ionizing radiation. Image-based evaluation of tissue damage by irradiation has an advantage for the early assessment of therapeutic effects by providing sensitive information on minute tissue responses in situ. Recent magnetic resonance (MR)-based electrical conductivity imaging has shown potential as an effective early imaging biomarker for treatment response and radiation-induced injury. However, to be a tool for evaluating therapeutic effects, validation of its reliability and sensitivity according to various irradiation conditions is required. We performed MR-based electrical conductivity imaging on designed phantoms to confirm the effect of ionizing radiation at different doses and on in vivo mouse brains to distinguish tissue response depending on different doses and the elapsed time after irradiation. To quantify the irradiation effects, we measured the absolute conductivity of brain tissues and calculated relative conductivity changes based on the value of pre-irradiation. The conductivity of the phantoms with the distilled water and saline solution increased linearly with the irradiation doses. The conductivity of in vivo mouse brains showed different time-course variations and residual contrast depending on the irradiation doses. Future studies will focus on validation at long-term time points, including early and late delayed response and evaluation of irradiation effects in various tissue types.

Highlights

  • Radiation therapy (RT) is a typical noninvasive method for cancer therapy that uses ionizing radiation delivered by a linear accelerator [1]

  • The purpose of this study is to show the experimental validation of magnetic resonance (MR)-based electrical conductivity as an imaging biomarker to assess early tissue damage in RT

  • The conductivities of distilled water and saline solution were different according to the irradiation dose

Read more

Summary

Introduction

Radiation therapy (RT) is a typical noninvasive method for cancer therapy that uses ionizing radiation delivered by a linear accelerator [1]. The human central nervous system (CNS) is resistant to irradiation effects, but a higher irradiation dose can cause early and late delayed damages after RT [5,6,7]. Some studies reported that the CNS is vulnerable to irradiation even at low doses [8,9,10]. Several studies reported a decline in cognitive function after exposure to high and low irradiation doses [8,11,12,13]. An in vivo quantification of radiation-induced injury is a critical challenge in RT to maximize irradiation doses to cancer cells while minimizing damage to surrounding healthy tissue [14]. The difficulty in diagnosing radiation-induced injury is that it is complicated with a combination of total irradiation dose, dose per fraction, duration of irradiation, and its dependence on complex interactions between cell types [5,6,15]

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call