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Dataset Information

Multi-component diffusion characterization of radiation-induced white matter damage.


ABSTRACT:

Purpose

We used multi-b-value diffusion models to characterize microstructural white matter changes after brain radiation into fast and slow components, in order to better understand the pathophysiology of radiation-induced tissue damage.

Methods

Fourteen patients were included in this retrospective analysis with imaging prior to, and at 1, 4-5, and 9-10 months after radiotherapy (RT). Diffusion signal decay within brain white matter was fit to a biexponential model to separate changes within the slow and fast components. Linear mixed-effects models were used to obtain estimates of the effect of radiation dose and time on the model parameters.

Results

We found an increase of 0.11 × 10-4 and 0.14 × 10-4 mm2 /s in the fast diffusion coef

SUBMITTER: Karunamuni RA 

PROVIDER: S-EPMC5462441 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature