Evidence map›Paper›PMID 31925884›Full record

ReviewJournal of neuroimaging : official journal of the American Society of Neuroimaging2020

Clinical Imaging for Diagnostic Challenges in the Management of Gliomas: A Review.

Alipi V Bonm, Reed Ritterbusch, Patrick Throckmorton, Jerome J Graber

Open access · greenAbstract readReview
In one paragraph

Review in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Hyperprogressive disease in carcinoma induced by immune checkpoint inhibitor therapy: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Pooled it
  2. Pooled it
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  6. Multi-Omics Integration for Advancing Glioma Precision Medicine.Annals of clinical and translational neurology · 2026
    Review
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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

4 authors at 1 institution in 1 country.

Alipi V BonmDepartment of Neurology, University of Washington, Seattle, WA.ORCID 0000-0003-0340-2008
Reed RitterbuschSchool of Medicine, University of Washington, Seattle, WA.
Patrick ThrockmortonSchool of Medicine, University of Washington, Seattle, WA.
Jerome J GraberDepartment of Neurology, University of Washington, Seattle, WA.ORCID 0000-0001-5357-2932
University of Washington · US

Funding

Neurosurgery research training in interdisciplinary neuroscienceR25NS079200 · NINDS · UNIVERSITY OF WASHINGTON · PI OJEMANN, JEFFREY G · 2012 to 2021
$1.2M
NINDS NIH HHS R25 NS079200
6 · The paper itself

Abstract

Neuroimaging plays a critical role in the management of patients with gliomas. While conventional magnetic resonance imaging (MRI) remains the standard imaging modality, it is frequently insufficient to inform clinical decision-making. There is a need for noninvasive strategies for reliably distinguishing low-grade from high-grade gliomas, identifying important molecular features of glioma, choosing an appropriate target for biopsy, delineating target area for surgery or radiosurgery, and distinguishing tumor progression (TP) from pseudoprogression (PsP). One recent advance is the identification of the T2/fluid-attenuated inversion recovery mismatch sign on standard MRI to identify isocitrate dehydrogenase mutant astrocytomas. However, to meet other challenges, neuro-oncologists are increasingly turning to advanced imaging modalities. Diffusion-weighted imaging modalities including diffusion tensor imaging and diffusion kurtosis imaging can be helpful in delineating tumor margins and better visualization of tissue architecture. Perfusion imaging including dynamic contrast-enhanced MRI using gadolinium or ferumoxytol contrast agents can be helpful for grading as well as distinguishing TP from PsP. Positron emission tomography is useful for measuring tumor metabolism, which correlates with grade and can distinguish TP/PsP in the right setting. Magnetic resonance spectroscopy can identify tissue by its chemical composition, can distinguish TP/PsP, and can identify molecular features like 2-hydroxyglutarate. Finally, amide proton transfer imaging measures intracellular protein content, which can be used to identify tumor grade/progression and distinguish TP/PsP.

Indexed as

Brain NeoplasmsDisease ManagementGliomaHumansNeoplasm GradingNeuroimagingGliomapseudoprogressionT2-FLAIR mismatch

Identifiers

PMID31925884
PMCPMC8300867
OpenAlexW2999019975

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.