Evidence map›Paper›PMID 29193449›Full record

ArticleNMR in biomedicine2018

Characterization of glioblastoma in an orthotopic mouse model with magnetic resonance elastography.

Katharina Schregel, Navid Nazari, Michal O Nowicki, Miklos Palotai, Sean E Lawler, Ralph Sinkus, Paul E Barbone, Samuel Patz

Open access · greenAbstract read
In one paragraph

Article in NMR in biomedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

32 citing papers in PubMed, 46 citations in OpenAlex.

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  18. Frontiers in oncology · 2024
    Article
  19. Advanced MR Techniques for Preoperative Glioma Characterization: Part 2.Journal of magnetic resonance imaging : JMRI · 2023
    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

8 authors at 3 institutions in 3 countries.

Katharina SchregelDepartment of Radiology, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0003-4367-1667
Navid NazariDepartment of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Michal O NowickiHarvey Cushing Neurooncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA.
Miklos PalotaiDepartment of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Sean E LawlerHarvard Medical School, Boston, MA, USA.
Ralph SinkusDepartment of Radiological Imaging, Imaging Sciences and Biomedical Engineering Division, King's College London, London, UK.
Paul E BarboneDepartment of Mechanical Engineering, Boston University, Boston, MA, USA.
Samuel PatzDepartment of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Brigham and Women's Hospital · USBoston University · USKing's College London · GB

Funding

Magnetic Resonance Elastography of the BrainR21EB020757 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI PATZ, SAMUEL · 2016 to 2017
$484k
Boston University College of EngineeringBrigham and Women's Hospital Department of RadiologyEuropean Commission Horizon 2020 proposal 668039German Research Foundation DFG, SCHR 1542/1-1NIBIB NIH HHS R21 EB020757NIH HHS NIH R21 EB020757
6 · The paper itself

Abstract

Glioblastoma (GBM) is the most common primary brain tumor. It is highly malignant and has a correspondingly poor prognosis. Diagnosis and monitoring are mainly accomplished with MRI, but remain challenging in some cases. Therefore, complementary methods for tumor detection and characterization would be beneficial. Using magnetic resonance elastography (MRE), we performed a longitudinal study of the biomechanical properties of intracranially implanted GBM in mice and compared the results to histopathology. The biomechanical parameters of viscoelastic modulus, shear wave speed and phase angle were significantly lower in tumors compared with healthy brain tissue and decreased over time with tumor progression. Moreover, some MRE parameters revealed sub-regions at later tumor stages, which were not easily detectable on anatomical MRI images. Comparison with histopathology showed that softer tumor regions contained necrosis and patches of viable tumor cells. In contrast, areas of densely packed tumor cells and blood vessels identified with histology coincided with higher values of viscoelastic modulus and shear wave speed. Interestingly, the phase angle was independent from these anatomical variations. In summary, MRE depicted longitudinal and morphological changes in GBM and may prove valuable for tumor characterization in patients.

Indexed as

Elasticity Imaging TechniquesMagnetic Resonance ImagingAnimalsBrain NeoplasmsCell Line, TumorDisease Models, AnimalElasticityGlioblastomaMice, NudeMyelin SheathPhantoms, ImagingTime FactorsViscositybrain tumorglioblastomalongitudinal progressionmagnetic resonance elastographystiffnessviscoelastic modulus

Identifiers

PMID29193449
PMCPMC6538416
OpenAlexW2892249172

What OpenQuestion holds

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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.