Inge Compter1, Jurgen Peerlings2,3, Daniëlle B P Eekers2, Alida A Postma3, Dimo Ivanov4, Christopher J Wiggins5, Pieter Kubben6, Benno Küsters7,8, Pieter Wesseling8,9, Linda Ackermans6, Olaf E M G Schijns6, Philippe Lambin2, Aswin L Hoffmann2,10,11. 1. Department of Radiation Oncology (MAASTRO CLINIC), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands. inge.compter@maastro.nl. 2. Department of Radiation Oncology (MAASTRO CLINIC), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands. 3. Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands. 4. Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands. 5. Scannexus, Maastricht, The Netherlands. 6. Department of Neurosurgery, Maastricht University Medical Center, Maastricht, The Netherlands. 7. Department of Pathology, Maastricht University Medical Center, Maastricht, The Netherlands. 8. Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands. 9. Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands. 10. Institute of Radiooncology, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany. 11. Department of Radiation Oncology, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Dresden, Germany.
Abstract
OBJECTIVES: The use of 7 Tesla (T) magnetic resonance imaging (MRI) has recently shown great potential for high-resolution soft-tissue neuroimaging and visualization of microvascularization in glioblastoma (GBM). We have designed a clinical trial to explore the value of 7 T MRI in radiation treatment of GBM. For this aim we performed a preparatory study to investigate the technical feasibility of incorporating 7 T MR images into the neurosurgical navigation and radiotherapy treatment planning (RTP) systems via qualitative and quantitative assessment of the image quality. MATERIALS AND METHODS: The MR images were acquired with a Siemens Magnetom 7 T whole-body scanner and a Nova Medical 32-channel head coil. The 7 T MRI pulse sequences included magnetization-prepared two rapid acquisition gradient echoes (MP2RAGE), T2-SPACE, SPACE-FLAIR and gradient echo sequences (GRE). A pilot study with three healthy volunteers and an anthropomorphic 3D phantom was used to assess image quality and geometrical image accuracy. RESULTS: The MRI scans were well tolerated by the volunteers. Susceptibility artefacts were observed in both the cortex and subcortical white matter at close proximity to air-tissue interfaces. Regional loss of signal and contrast could be minimized by the use of dielectric pads. Image transfer and processing did not degrade image quality. The system-related spatial uncertainty of geometrical distortion-corrected MP2RAGE pulse sequences was ≤2 mm. CONCLUSION: Integration of high-quality and geometrically-reliable 7 T MR images into neurosurgical navigation and RTP software is technically feasible and safe.
OBJECTIVES: The use of 7 Tesla (T) magnetic resonance imaging (MRI) has recently shown great potential for high-resolution soft-tissue neuroimaging and visualization of microvascularization in glioblastoma (GBM). We have designed a clinical trial to explore the value of 7 T MRI in radiation treatment of GBM. For this aim we performed a preparatory study to investigate the technical feasibility of incorporating 7 T MR images into the neurosurgical navigation and radiotherapy treatment planning (RTP) systems via qualitative and quantitative assessment of the image quality. MATERIALS AND METHODS: The MR images were acquired with a Siemens Magnetom 7 T whole-body scanner and a Nova Medical 32-channel head coil. The 7 T MRI pulse sequences included magnetization-prepared two rapid acquisition gradient echoes (MP2RAGE), T2-SPACE, SPACE-FLAIR and gradient echo sequences (GRE). A pilot study with three healthy volunteers and an anthropomorphic 3D phantom was used to assess image quality and geometrical image accuracy. RESULTS: The MRI scans were well tolerated by the volunteers. Susceptibility artefacts were observed in both the cortex and subcortical white matter at close proximity to air-tissue interfaces. Regional loss of signal and contrast could be minimized by the use of dielectric pads. Image transfer and processing did not degrade image quality. The system-related spatial uncertainty of geometrical distortion-corrected MP2RAGE pulse sequences was ≤2 mm. CONCLUSION: Integration of high-quality and geometrically-reliable 7 T MR images into neurosurgical navigation and RTP software is technically feasible and safe.
Entities:
Keywords:
Geometrical distortion; Glioblastoma; Radiotherapy; Treatment planning; Ultra-high field MRI
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