Evidence map›Paper›PMID 39322356›Full record

ReviewMagnetic resonance imaging clinics of North America2024

MR Imaging-Guided Focused Ultrasound-Clinical Applications in Managing Malignant Gliomas.

Huanwen Chen, Pavlos Anastasiadis, Graeme F Woodworth

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Magnetic resonance imaging clinics of North America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Focused ultrasound for brain metastases.Neuro-oncology advances · 2026
    Review
  2. Review
  3. Article
  4. Article
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

3 authors.

Huanwen ChenNational Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA.
Pavlos AnastasiadisDepartment of Neurosurgery, University of Maryland School of Medicine, S-12D, 22 South Greene Street, Baltimore, MD 21201, USA; University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center.
Graeme F WoodworthDepartment of Neurosurgery, University of Maryland School of Medicine, S-12D, 22 South Greene Street, Baltimore, MD 21201, USA; University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center. Electronic address: gwoodworth@som.umaryland.edu.

Funding

MRgFUS-enabled non-invasive interrogation of malignant glioma via circulating tumor DNAR21NS113016 · NINDS · JOHNS HOPKINS UNIVERSITY · PI BETTEGOWDA, CHETAN, WOODWORTH, GRAEME F · 2019 to 2019
$454k
NINDS NIH HHS R21 NS113016
6 · The paper itself

Abstract

Malignant gliomas (MGs) are the most common primary brain tumors in adults. Despite recent advances in understanding the biology and potential therapeutic vulnerabilities of MGs, treatment options remain limited as the delivery of drugs is often impeded by the blood-brain barrier (BBB), and safe, complete surgical resection may not always be possible, especially for deep-seated tumors. In this review, the authors highlight emerging applications for MR imaging-guided focused ultrasound (MRgFUS) as a noninvasive treatment modality for MGs. Specifically, the authors discuss MRgFUS's potential role in direct tumor cell killing, opening the BBB, and modulating antitumor immunity.

Indexed as

Brain NeoplasmsGliomaBrainHigh-Intensity Focused Ultrasound AblationHumansMagnetic Resonance ImagingMagnetic Resonance Imaging, InterventionalAblationBlood-brain barrierGlioblastomaGliomaImmunotherapyMR imagingSonodynamic therapyUltrasound

Identifiers

PMID39322356
PMCPMC13067882

What Socratic 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 Socratic graph.