Evidence map›Paper›PMID 37756182›Full record

ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2023

Longitudinal 3-D Visualization of Microvascular Disruption and Perfusion Changes in Mice During the Evolution of Glioblastoma Using Super-Resolution Ultrasound.

Jacob R McCall, Ryan DeRuiter, Mark Ross, Francisco Santibanez, Shawn D Hingtgen, Gianmarco F Pinton, Paul A Dayton

Abstract read
In one paragraph

Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Jacob R McCall
Ryan DeRuiter
Mark Ross
Francisco Santibanez
Shawn D Hingtgen
Gianmarco F Pinton
Paul A Dayton

Funding

High Frame Rate 3-D Super Resolution Ultrasound Microvascular ImagingR01CA220681 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAYTON, PAUL A, PINTON, GIANMARCO · 2017 to 2022
$3.0M
A Fully Ultrasonic Approach for Combined Functional Imaging and Neuromodulation in Behaving AnimalsRF1NS113285 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CASKEY, CHARLES F, ORALKAN, OMER · 2019 to 2019
$2.1M
An academic industrial partnership for the development of high frame-rate transcranial super resolution ultrasound imagingR01EB025149 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAYTON, PAUL A, PINTON, GIANMARCO · 2017 to 2018
$935k
NCI NIH HHS R01 CA220681NIBIB NIH HHS R01 EB025149NINDS NIH HHS RF1 NS113285
6 · The paper itself

Abstract

Glioblastoma is an aggressive brain cancer with a very poor prognosis in which less than 6% of patients survive more than five-year post-diagnosis. The outcome of this disease for many patients may be improved by early detection. This could provide clinicians with the information needed to take early action for treatment. In this work, we present the utilization of a non-invasive, fully volumetric ultrasonic imaging method to assess microvascular change during the evolution of glioblastoma in mice. Volumetric ultrasound localization microscopy (ULM) was used to observe statistically significant ( ) reduction in the appearance of functional vasculature over the course of three weeks. We also demonstrate evidence suggesting the reduction of vascular flow for vessels peripheral to the tumor. With an 82.5% consistency rate in acquiring high-quality vascular images, we demonstrate the possibility of volumetric ULM as a longitudinal method for microvascular characterization of neurological disease.

Indexed as

GlioblastomaAnimalsBrainHumansMiceMicrobubblesMicrovesselsPerfusionUltrasonography

Identifiers

PMID37756182
PMCPMC12459019

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Registered trials

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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.