Literature DB >> 29372691

Prediction of radiation necrosis in a rodent model using magnetic resonance imaging apparent transverse relaxation ([Formula: see text]).

Jean-Guy Belliveau1, Michael D Jensen, James M P Stewart, Igor Solovey, L Martyn Klassen, Glenn S Bauman, Ravi S Menon.   

Abstract

BACKGROUND AND
PURPOSE: Radiation necrosis remains an irreversible long-term side-effect following radiotherapy to the brain. The ability to predict areas that could ultimately develop into necrosis could lead to prevention and management of radiation necrosis.
MATERIALS AND METHODS: Fischer 344 rats were irradiated using two platforms (micro-CT irradiator and x-Rad 225 IGRT) with radiation up to 30 Gy for the micro-CT and 40 Gy for the xRAD-224 to half the brain. Animals were subsequently imaged using a 9.4 T MRI scanner every 2-4 weeks for up to 28 weeks using a 7-echo gradient echo sequence. The apparent transverse relaxation constant ([Formula: see text]) was calculated and retrospectively analyzed.
RESULTS: Animals irradiated with the low-dose rate micro-CT did not exhibit any symptoms or imaging changes associated with RN. Animals irradiated with the xRAD-225 exhibited imaging changes consistent with RN at week 24. Analysis of the [Formula: see text] coefficient within the lesion and hippocampus shows the potential for detection of RN up to 10 weeks prior to morphological changes.
CONCLUSIONS: The ability to predict areas of RN and increases of [Formula: see text] within the hippocampus provides a method for long-term monitoring and prediction of RN.

Entities:  

Mesh:

Year:  2018        PMID: 29372691     DOI: 10.1088/1361-6560/aaa034

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  2 in total

Review 1.  Current emerging MRI tools for radionecrosis and pseudoprogression diagnosis.

Authors:  Lucia Nichelli; Stefano Casagranda
Journal:  Curr Opin Oncol       Date:  2021-11-01       Impact factor: 3.915

2.  Impact of mouse strain and sex when modeling radiation necrosis.

Authors:  Andrew J Boria; Carlos J Perez-Torres
Journal:  Radiat Oncol       Date:  2020-06-03       Impact factor: 3.481

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.