Cargando…

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

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 neurocognit...

Descripción completa

Detalles Bibliográficos
Autores principales: Gommlich, Andreas, Raschke, Felix, Wahl, Hannes, Troost, Esther G.C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862681/
https://www.ncbi.nlm.nih.gov/pubmed/29594238
http://dx.doi.org/10.1016/j.ctro.2017.11.008
Descripción
Sumario: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 [Formula: see text] and two years [Formula: see text] post radio(chemo)therapy whereas corresponding GM volumes did not change significantly ([Formula: see text] and [Formula: see text] , 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.