ArticleTomography (Ann Arbor, Mich.)2016
Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma.
Article in Tomography (Ann Arbor, Mich.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 31 citations in OpenAlex.
- The Brain Imaging Collaboration Suite (BrICS): A Cloud Platform for Integrating Whole-Brain Spectroscopic MRI into the Radiation Therapy Planning Workflow.Tomography (Ann Arbor, Mich.) · 2019Trial
- Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI.NPJ digital medicine · 2025Article
- Longitudinal Overlap and Metabolite Analysis in Spectroscopic MRI-Guided Proton Beam Therapy in Pediatric High-Grade Glioma.Tomography (Ann Arbor, Mich.) · 2025Article
- NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets.Radiology. Artificial intelligence · 2025Article
- Conference Report: Review of Clinical Implementation of Advanced Quantitative Imaging Techniques for Personalized Radiotherapy.Tomography (Ann Arbor, Mich.) · 2024Article
- Integrating multi-modal imaging in radiation treatments for glioblastoma.Neuro-oncology · 2024Review
- SPECTRO GLIO trial aftermath: Where do we go from here?Neuro-oncology · 2024Article
- 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
- Mutant Isocitrate Dehydrogenase 1 Expression Enhances Response of Gliomas to the Histone Deacetylase Inhibitor Belinostat.Tomography (Ann Arbor, Mich.) · 2023Article
- Mapping early tumor response to radiotherapy using diffusion kurtosis imaging*.The neuroradiology journal · 2023Article
- Delineation of recurrent glioblastoma by whole brain spectroscopic magnetic resonance imaging.Radiation oncology (London, England) · 2023Article
- 7T HR FID-MRSI Compared to Amino Acid PET: Glutamine and Glycine as Promising Biomarkers in Brain Tumors.Cancers · 2022Article
- The efficacy and safety of extended adjuvant temozolomide following concurrent radio-chemotherapy among Egyptian patients with newly diagnosed glioblastoma multiforme.American journal of cancer research · 2022Article
- 3D whole-brain metabolite imaging to improve characterization of low-to-intermediate grade gliomas.Journal of neuro-oncology · 2021Article
- Clinical Applications of Magnetic Resonance Spectroscopy in Brain Tumors: From Diagnosis to Treatment.Radiologic clinics of North America · 2021Review
- Review
- The Association between Whole-Brain MR Spectroscopy and IDH Mutation Status in Gliomas.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020Article
- Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning.BJR open · 2020Review
- The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.Neurosurgery · 2019Review
- Incorporation of a spectral model in a convolutional neural network for accelerated spectral fitting.Magnetic resonance in medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 5 institutions in 1 country.
Funding
Abstract
Due to glioblastoma's infiltrative nature, an optimal radiation therapy (RT) plan requires targeting infiltration not identified by anatomical magnetic resonance imaging (MRI). Here, high-resolution, whole-brain spectroscopic MRI (sMRI) is used to describe tumor infiltration alongside anatomical MRI and simulate the degree to which it modifies RT target planning. In 11 patients with glioblastoma, data from preRT sMRI scans were processed to give high-resolution, whole-brain metabolite maps normalized by contralateral white matter. Maps depicting choline to N-Acetylaspartate (Cho/NAA) ratios were registered to contrast-enhanced T1-weighted RT planning MRI for each patient. Volumes depicting metabolic abnormalities (1.5-, 1.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.