Evidence map›Paper›PMID 25183787›Full record

ReviewCancer research2014

Advanced magnetic resonance imaging of the physical processes in human glioblastoma.

Jayashree Kalpathy-Cramer, Elizabeth R Gerstner, Kyrre E Emblem, Ovidiu Andronesi, Bruce Rosen

Open access · greenAbstract readReview
In one paragraph

Review in Cancer research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 2% 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

86 citing papers in PubMed, 2 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. Biomedicines · 2026
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  9. Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
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26 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Jayashree Kalpathy-Cramer *Athinoula A. Martinos Center for Biomedical Imaging, Departments of Radiology, Oslo University Hospital, Oslo, Norway.
Elizabeth R Gerstner *Neurology, Massachusetts General Hospital and Harvard Medical School, Oslo University Hospital, Oslo, Norway.
Kyrre E EmblemAthinoula A. Martinos Center for Biomedical Imaging, Departments of Radiology, Oslo University Hospital, Oslo, Norway.
Ovidiu AndronesiAthinoula A. Martinos Center for Biomedical Imaging, Departments of Radiology, Oslo University Hospital, Oslo, Norway.
Bruce RosenAthinoula A. Martinos Center for Biomedical Imaging, Departments of Radiology, Oslo University Hospital, Oslo, Norway.
Massachusetts General Hospital · USOslo University Hospital · NO

Funding

Quantitative MRI of Glioblastoma ResponseU01CA154601 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI KALPATHY-CRAMER, JAYASHREE · 2011 to 2016
$3.4M
Shutter-Speed Model DCE-MRI for Assessment of Response to Cancer TherapyU01CA154602 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI HUANG, WEI, RYAN, CHRISTOPHER WALTER · 2011 to 2015
$2.9M
Clinical Image Retrieval: User needs assessment toolbox development & evaluationR00LM009889 · NLM · MASSACHUSETTS GENERAL HOSPITAL · PI KALPATHY-CRAMER, JAYASHREE · 2011 to 2013
$690k
Quantify treatment response in IDH1 mutant glioma patients with metabolic MRIK22CA178269 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI ANDRONESI, OVIDIU C · 2013 to 2016
$601k
NCI NIH HHS K22 CA178269NCI NIH HHS K22CA178269-01NCI NIH HHS U01 CA154601NCI NIH HHS U01 CA154602NCI NIH HHS U01CA154602NLM NIH HHS R00 LM009889NLM NIH HHS R00LM009889
6 · The paper itself

Abstract

The most common malignant primary brain tumor, glioblastoma multiforme (GBM) is a devastating disease with a grim prognosis. Patient survival is typically less than two years and fewer than 10% of patients survive more than five years. Magnetic resonance imaging (MRI) can have great utility in the diagnosis, grading, and management of patients with GBM as many of the physical manifestations of the pathologic processes in GBM can be visualized and quantified using MRI. Newer MRI techniques such as dynamic contrast enhanced and dynamic susceptibility contrast MRI provide functional information about the tumor hemodynamic status. Diffusion MRI can shed light on tumor cellularity and the disruption of white matter tracts in the proximity of tumors. MR spectroscopy can be used to study new tumor tissue markers such as IDH mutations. MRI is helping to noninvasively explore the link between the molecular basis of gliomas and the imaging characteristics of their physical processes. We, here, review several approaches to MR-based imaging and discuss the potential for these techniques to quantify the physical processes in glioblastoma, including tumor cellularity and vascularity, metabolite expression, and patterns of tumor growth and recurrence. We conclude with challenges and opportunities for further research in applying physical principles to better understand the biologic process in this deadly disease. See all articles in this Cancer Research section, "Physics in Cancer Research."

Indexed as

Biomarkers, TumorBrain NeoplasmsDiffusion Magnetic Resonance ImagingGlioblastomaHumansPhysical PhenomenaBiomarkers, Tumor

Identifiers

PMID25183787
PMCPMC4155518
OpenAlexW2042524329

What OpenQuestion holds

Textmetadata
LicenceTDM
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.