Retrospective assessment of MRI-based volumetric changes of normal tissues in glioma patients following radio(chemo)therapy

5Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

Abstract

In glioma patients, linac-based photon beam irradiation is a widely applied therapy, which achieves highly conformal target volume coverage, but is also known to cause side-effects to adjacent areas of healthy tissue. Apart from subjective measures, such as quality of life assessment and neurocognitive function tests, objective methods to quantify tissue damage are needed to assess this impact. Magnetic resonance imaging (MRI) is a well-established method for brain tumor diagnoses as well as assessing treatment response. In this study, we retrospectively assessed volumetric changes of gray matter (GM) and white matter (WM) in glioma patients following photon irradiation using a heterogeneous MRI-dataset obtained in routine clinical practice at different sites with imaging parameters and magnetic field strengths. We found a significant reduction in WM volume at one year (p=0.01) and two years (p=0.008) post radio(chemo)therapy whereas corresponding GM volumes did not change significantly (p=0.05 and p=0.11, respectively). More importantly, we also found large variations in the segmented tissue volumes caused by the heterogeneous MR data, thus potentially masking more subtle tissue changes over time. On the basis of these observations, we present suggestions regarding data acquisitions in future prospective MR studies to assess such volumetric changes.

Author supplied keywords

Cite

CITATION STYLE

APA

Gommlich, A., Raschke, F., Wahl, H., & Troost, E. G. C. (2018). Retrospective assessment of MRI-based volumetric changes of normal tissues in glioma patients following radio(chemo)therapy. Clinical and Translational Radiation Oncology, 8, 17–21. https://doi.org/10.1016/j.ctro.2017.11.008

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free