Evidence map›Paper›PMID 25066215›Full record

ArticleInternational journal of radiation oncology, biology, physics2014

Volumetric spectroscopic imaging of glioblastoma multiforme radiation treatment volumes.

N Andres Parra, Andrew A Maudsley, Rakesh K Gupta, Fazilat Ishkanian, Kris Huang, Gail R Walker, Kyle Padgett, Bhaswati Roy, Joseph Panoff, Arnold Markoe and 1 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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  6. Preclinical and Clinical Use of Indigenously DevelopedACS pharmacology & translational science · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

N Andres ParraDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida.
Andrew A MaudsleyDepartment of Radiology, University of Miami Miller School of Medicine, Miami, Florida.
Rakesh K GuptaDepartment of Radiology & Imaging, Fortis Memorial Research Institute, Gurgaon, Haryana, India.
Fazilat IshkanianDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida.
Kris HuangDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida.
Gail R WalkerBiostatistics and Bioinformatics Core Resource, Sylvester Cancer Center, University of Miami Miller School of Medicine, Miami, Florida.
Kyle PadgettDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida; Department of Radiology, University of Miami Miller School of Medicine, Miami, Florida.
Bhaswati RoyDepartment of Radiology & Imaging, Fortis Memorial Research Institute, Gurgaon, Haryana, India.
Joseph PanoffDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida.
Arnold MarkoeDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida.
Radka StoyanovaDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida. Electronic address: RStoyanova@med.miami.edu.

Funding

PARTNERSHIP FOR MR SPECTROSCOPIC IMAGING DATA PROCESSINGR01EB000822 · NIBIB · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MAUDSLEY, ANDREW A. · 2002 to 2012
$10.8M
NIBIB NIH HHS R01 EB000822NIBIB NIH HHS R01EB000822
6 · The paper itself

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.

Indexed as

AdultAgedAspartic AcidBrainBrain EdemaBrain MappingBrain NeoplasmsCholineCreatineFemaleGlioblastomaHumansMagnetic Resonance SpectroscopyMaleMiddle AgedRetrospective StudiesAspartic AcidCholineCreatineN-acetylaspartate

Identifiers

PMID25066215
PMCPMC4346247

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.