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Can I read Prediction of radiation necrosis in a rodent model using magnetic resonance imaging apparent transverse relaxation ([Formula: see text]) on EtoBox?
Prediction of radiation necrosis in a rodent model using magnetic resonance imaging apparent transverse relaxation ([Formula: see text]) by Jean-Guy Belliveau; Michael D Jensen; James M P Stewart; Igor Solovey; L Martyn Klassen; Glenn S Bauman; Ravi S Menon is a Medicine article available to read on EtoBox.
What is Prediction of radiation necrosis in a rodent model using magnetic resonance imaging apparent transverse relaxation ([Formula: see text]) about?
## 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]
Who reads Prediction of radiation necrosis in a rodent model using magnetic resonance imaging apparent transverse relaxation ([Formula: see text])?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Jean-Guy Belliveau; Michael D Jensen; James M P Stewart; Igor Solovey; L Martyn Klassen; Glenn S Bauman; Ravi S Menon
- Publisher
- IOP Publishing
- Published
- 2018
- Language
- EN
- Field
- Medicine (Health Sciences)