Evidence map›Paper›PMID 29626359›Full record

ArticleMagnetic resonance in medicine2018

Simultaneous pH-sensitive and oxygen-sensitive MRI of human gliomas at 3 T using multi-echo amine proton chemical exchange saturation transfer spin-and-gradient echo echo-planar imaging (CEST-SAGE-EPI).

Robert J Harris, Jingwen Yao, Ararat Chakhoyan, Catalina Raymond, Kevin Leu, Linda M Liau, Phioanh L Nghiemphu, Albert Lai, Noriko Salamon, Whitney B Pope and 2 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Multimodal Imaging of Hypoxia, Metabolism and pH in Feline Sarcoma Using HyperpolarizedAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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.

Robert J HarrisUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Jingwen YaoUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Ararat ChakhoyanUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Catalina RaymondUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Kevin LeuUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Linda M LiauUCLA Brain Research Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Phioanh L NghiemphuDepartment of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Albert LaiDepartment of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Noriko SalamonDepartment of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Whitney B PopeDepartment of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Timothy F CloughesyDepartment of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Benjamin M EllingsonUCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.ORCID 0000-0002-2764-6640

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI David A. Nathanson · 2017 to 2026
$25.2M
Metabolic MRI for quantifying aerobic glycolysis and immune function in gliomasR21CA223757 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ELLINGSON, BENJAMIN M. · 2018 to 2019
$366k
EPA EP-C-15-003NCI NIH HHS P30 CA016042NCI NIH HHS P50 CA211015NCI NIH HHS R21 CA223757
6 · The paper itself

Abstract

purposeTo introduce a new pH-sensitive and oxygen-sensitive MRI technique using amine proton CEST echo spin-and-gradient echo (SAGE) EPI (CEST-SAGE-EPI).

methodspH-weighting was obtained using CEST estimations of magnetization transfer ratio asymmetry (MTR

resultsSimulation and phantom results confirmed an increase in MTR

conclusionThe CEST-SAGE-EPI technique provides simultaneous pH-sensitive and oxygen-sensitive image contrasts for evaluation of the brain tumor microenvironment. Advantages include fast whole-brain acquisition, in-line B

Indexed as

AdultAgedAged, 80 and overBrainBrain NeoplasmsEcho-Planar ImagingFemaleGliomaHumansHydrogen-Ion ConcentrationImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedOxygenPhantoms, ImagingOxygenCESTgliomahypoxiapH-weighted MRISAGE

Identifiers

PMID29626359
PMCPMC6107417

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.