Evidence map›Paper›PMID 27535746›Full record

ArticleJournal of neuro-oncology2016

Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab.

Sarah J Nelson, Yan Li, Janine M Lupo, Marram Olson, Jason C Crane, Annette Molinaro, Ritu Roy, Jennifer Clarke, Nicholas Butowski, Michael Prados and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  6. Review
  7. HyperpolarizedScientific reports · 2021
    Article
  8. Magnetic resonance spectroscopy for the study of cns malignancies.Progress in nuclear magnetic resonance spectroscopy · 2021
    Article
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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

12 authors at 1 institution in 1 country.

Sarah J NelsonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA. sarah.nelson@ucsf.edu.
Yan LiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Janine M LupoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Marram OlsonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Jason C CraneDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Annette MolinaroDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.
Ritu RoyHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Jennifer ClarkeDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.
Nicholas ButowskiDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.
Michael PradosDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.
Soonmee ChaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Susan M ChangDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.ORCID 0000-0001-8015-5157
University of California, San Francisco · US

Funding

Project 4: Multi-modality Metabolic Imaging for Monitoring Molecular Sub-types of GliomaP01CA118816 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Pavithra Viswanath · 2007 to 2026
$44.7M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
MR Metabolic Markers for Evaluation of Patients with Recurrent GliomaR01CA127612 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LI, YAN · 2008 to 2017
$3.8M
NCATS NIH HHS KL2 TR001862NCI NIH HHS P01 CA118816NCI NIH HHS R01 CA127612
6 · The paper itself

Abstract

Interpretation of changes in the T1- and T2-weighted MR images from patients with newly diagnosed glioblastoma (GBM) treated with standard of care in conjunction with anti-angiogenic agents is complicated by pseudoprogression and pseudoresponse. The hypothesis being tested in this study was that 3D H-1 magnetic resonance spectroscopic imaging (MRSI) provides estimates of levels of choline, creatine, N-acetylaspartate (NAA), lactate and lipid that change in response to treatment and that metrics describing these characteristics are associated with survival. Thirty-one patients with newly diagnosed GBM and being treated with radiation therapy (RT), temozolomide, erlotinib and bevacizumab were recruited to receive serial MR scans that included 3-D lactate edited MRSI at baseline, mid-RT, post-RT and at specific follow-up time points. The data were processed to provide estimates of metrics representing changes in metabolite levels relative to normal appearing brain. Cox proportional hazards analysis was applied to examine the relationship of these parameters with progression free survival (PFS) and overall survival (OS). There were significant reductions in parameters that describe relative levels of choline to NAA and creatine, indicating that the treatment caused a decrease in tumor cellularity. Changes in the levels of lactate and lipid relative to the NAA from contralateral brain were consistent with vascular normalization. Metabolic parameters from the first serial follow-up scan were associated with PFS and OS, when accounting for age and extent of resection. Integrating metabolic parameters into the assessment of patients with newly diagnosed GBM receiving therapies that include anti-angiogenic agents may be helpful for tracking changes in tumor burden, resolving ambiguities in anatomic images caused by non-specific treatment effects and for predicting outcome.

Indexed as

AdultAgedAntineoplastic Agents, ImmunologicalAspartic AcidBevacizumabBrain NeoplasmsCholineCreatineDacarbazineFemaleGlioblastomaHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleAntineoplastic Agents, ImmunologicalAspartic AcidBevacizumabCholineCreatineDacarbazineN-acetylaspartateTemozolomideAnti-angiogenic therapyMetabolic imagingMRSINewly diagnosed glioblastomaSurvival

Identifiers

PMID27535746
PMCPMC5069332
OpenAlexW2509227127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.