ArticleInternational journal of radiation oncology, biology, physics2014
Volumetric spectroscopic imaging of glioblastoma multiforme radiation treatment volumes.
Article in International journal of radiation oncology, biology, physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- White matter pathlength maps from diffusion-weighted MRI tractography for radiotherapy target planning in glioblastoma.Journal of neuro-oncology · 2026Article
- Super-Resolution MR Spectroscopic Imaging via Diffusion Models for Tumor Metabolism Mapping.Journal of imaging informatics in medicine · 2026Article
- Glioblastoma metabolomics: uncovering biomarkers for diagnosis, prognosis and targeted therapy.Journal of experimental & clinical cancer research : CR · 2025Review
- Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI.NPJ digital medicine · 2025Article
- Defining occult disease in glioblastoma using spectroscopic MRI: implications for clinical target volume delineation.Radiation oncology (London, England) · 2025Article
- Preclinical and Clinical Use of Indigenously DevelopedACS pharmacology & translational science · 2023Review
- The role and potential of using quantitative MRI biomarkers for imaging guidance in brain cancer radiotherapy treatment planning: A systematic review.Physics and imaging in radiation oncology · 2023Review
- Delineation of recurrent glioblastoma by whole brain spectroscopic magnetic resonance imaging.Radiation oncology (London, England) · 2023Article
- Metabolic and physiologic magnetic resonance imaging in distinguishing true progression from pseudoprogression in patients with glioblastoma.NMR in biomedicine · 2022Review
- Emerging MR Imaging and Spectroscopic Methods to Study Brain Tumor Metabolism.Frontiers in neurology · 2022Review
- 3D whole-brain metabolite imaging to improve characterization of low-to-intermediate grade gliomas.Journal of neuro-oncology · 2021Article
- Advanced magnetic resonance spectroscopic neuroimaging: Experts' consensus recommendations.NMR in biomedicine · 2021Article
- Review
- MR-Guided Radiotherapy for Brain and Spine Tumors.Frontiers in oncology · 2021Review
- Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma.Journal of magnetic resonance imaging : JMRI · 2020Review
- Article
- The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.Neurosurgery · 2019Review
- The influence of spatial resolution on the spectral quality and quantification accuracy of whole-brain MRSI at 1.5T, 3T, 7T, and 9.4T.Magnetic resonance in medicine · 2019Article
- Lesion segmentation for MR spectroscopic imaging using the convolution difference method.Magnetic resonance in medicine · 2019Article
- Three-dimensional echo planar spectroscopic imaging for differentiation of true progression from pseudoprogression in patients with glioblastoma.NMR in biomedicine · 2019Article
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11 authors.
Funding
Abstract
purposeMagnetic resonance (MR) imaging and computed tomography (CT) are used almost exclusively in radiation therapy planning of glioblastoma multiforme (GBM), despite their well-recognized limitations. MR spectroscopic imaging (MRSI) can identify biochemical patterns associated with normal brain and tumor, predominantly by observation of choline (Cho) and N-acetylaspartate (NAA) distributions. In this study, volumetric 3-dimensional MRSI was used to map these compounds over a wide region of the brain and to evaluate metabolite-defined treatment targets (metabolic tumor volumes [MTV]). METHODS AND MATERIALS: Volumetric MRSI with effective voxel size of ∼1.0 mL and standard clinical MR images were obtained from 19 GBM patients. Gross tumor volumes and edema were manually outlined, and clinical target volumes (CTVs) receiving 46 and 60 Gy were defined (CTV46 and CTV60, respectively). MTVCho and MTVNAA were constructed based on volumes with high Cho and low NAA relative to values estimated from normal-appearing tissue.
resultsThe MRSI coverage of the brain was between 70% and 76%. The MTVNAA were almost entirely contained within the edema, and the correlation between the 2 volumes was significant (r=0.68, P=.001). In contrast, a considerable fraction of MTVCho was outside of the edema (median, 33%) and for some patients it was also outside of the CTV46 and CTV60. These untreated volumes were greater than 10% for 7 patients (37%) in the study, and on average more than one-third (34.3%) of the MTVCho for these patients were outside of CTV60.
conclusionsThis study demonstrates the potential usefulness of whole-brain MRSI for radiation therapy planning of GBM and revealed that areas of metabolically active tumor are not covered by standard RT volumes. The described integration of MTV into the RT system will pave the way to future clinical trials investigating outcomes in patients treated based on metabolic information.
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