Evidence map›Paper›PMID 39432071›Full record

ArticleNeuroradiology2024

Mechanical properties of pediatric low-grade gliomas in children with and without neurofibromatosis type 1.

Grace McIlvain, Laura L Hayes, Andrew W Walter, Lauren W Averill, Vinay Kandula, Curtis L Johnson, Rahul M Nikam

Abstract read
In one paragraph

Article in Neuroradiology, 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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Grace McIlvainDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0001-6594-8757
Laura L HayesDepartment of Radiology, Nemours Children's Hospital, Orlando, FL, USA.
Andrew W WalterDepartment of Hematology/Oncology, Nemours Children's Hospital, Wilmington, DE, USA.
Lauren W AverillDepartment of Radiology, Nemours Children's Hospital, Wilmington, DE, USA.
Vinay KandulaDepartment of Radiology, Nemours Children's Hospital, Wilmington, DE, USA.
Curtis L JohnsonDepartment of Biomedical Engineering, University of Delaware, Newark, DE, USA. clj@udel.edu.
Rahul M NikamDepartment of Radiology, Nemours Children's Hospital, Wilmington, DE, USA.

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Megan M Wenner · 2013 to 2026
$60.5M
Accelerated Magnetic Resonance Elastography for Brain Stiffness Analysis in Children with Classic Autistic DisorderF31HD103361 · NICHD · UNIVERSITY OF DELAWARE · PI MCILVAIN, GRACE · 2020 to 2022
$116k
Delaware-CTR ACCEL Program U54-GM104941Delaware IDeA Network of Biomedical Research Excellence P20-GM103446National Institute of Child Health and Human Development F31-HD103361NICHD NIH HHS F31 HD103361NIGMS NIH HHS P20 GM103446NIGMS NIH HHS U54 GM104941
6 · The paper itself

Abstract

introductionPrognoses for pediatric brain tumors are suboptimal, as even in low-grade tumors, management techniques can lead to damage in the developing brain. Therefore, advanced neuroimaging methods are critical for developing optimal management plans and improving patient care. Magnetic resonance elastography (MRE) has allowed for the characterization of adult gliomas by their mechanical properties, which are uniquely sensitive to the complex interplay of cellularity, vasculature, and interstitium. However, pediatric tumors differ in behavior and cytoarchitecture, and their mechanical properties have never been assessed.

methodsHere, we conduct the first study of pediatric brain tumor mechanical properties by using MRE to measure tissue stiffness and damping ratio in low grade gliomas (LGGs). We additionally measure the mechanical properties of non-neoplastic focal abnormal signal intensities (FASIs) in children with neurofibromatosis type 1 (NF1).

results23 patients age 4-17 years who had MR imaging results consistent with a primary LGG or with NF1 were included in this study. We found that pediatric gliomas are on an average 10.9% softer (p = 0.010) with a 17.3% lower (p = 0.009) viscosity than reference tissue. Softness of tumors appeared consistent across tumor subtypes and unrelated to tumor size or contrast-enhancement. In NF1 we found that, unlike gliomas, FASIs are stiffer, though not significantly, than reference tissue by an average of 10.4% and have a 16.7% lower damping ratio.

conclusionsMeasuring tumor mechanical properties patterning and heterogeneity has potential to aid in prediction of biological behavior and inform management strategies for pediatric patients.

Indexed as

Brain NeoplasmsElasticity Imaging TechniquesGliomaNeurofibromatosis 1AdolescentChildChild, PreschoolContrast MediaFemaleHumansMagnetic Resonance ImagingMaleNeoplasm GradingContrast MediaFocal abnormal signal intensitiesMagnetic resonance elastographyMechanical propertiesNeurofibromatosis type 1Pediatric low-grade gliomas

Identifiers

PMID39432071
PMCPMC11611943

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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.