Evidence map›Paper›PMID 36898293›Full record

ArticleNeuroImage. Clinical2023

Meningioma microstructure assessed by diffusion MRI: An investigation of the source of mean diffusivity and fractional anisotropy by quantitative histology.

Jan Brabec, Magda Friedjungová, Daniel Vašata, Elisabet Englund, Johan Bengzon, Linda Knutsson, Filip Szczepankiewicz, Danielle van Westen, Pia C Sundgren, Markus Nilsson

Open access · goldFull text read
In one paragraph

Article in NeuroImage. Clinical, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
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  5. 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

10 authors at 4 institutions in 3 countries.

Jan BrabecMedical Radiation Physics, Clinical Sciences, Lund University, Lund, Sweden; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: jbrabec2@jh.edu.
Magda FriedjungováFaculty of Information Technology, Czech Technical University in Prague, Prague, Czech Republic.
Daniel VašataFaculty of Information Technology, Czech Technical University in Prague, Prague, Czech Republic.
Elisabet EnglundPathology, Clinical Sciences, Lund University, Lund, Sweden.
Johan BengzonNeurosurgery, Clinical Sciences, Lund University, Lund, Sweden.
Linda KnutssonMedical Radiation Physics, Clinical Sciences, Lund University, Lund, Sweden; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Filip SzczepankiewiczMedical Radiation Physics, Clinical Sciences, Lund University, Lund, Sweden.
Danielle van WestenDiagnostic Radiology, Clinical Sciences, Lund University, Lund, Sweden.
Pia C SundgrenDiagnostic Radiology, Clinical Sciences, Lund University, Lund, Sweden; Lund University Bioimaging Centre, Lund University, Lund, Sweden; Department of Medical Imaging and Physiology, Skåne University Hospital, Lund University, Lund, Sweden.
Markus NilssonMedical Radiation Physics, Clinical Sciences, Lund University, Lund, Sweden; Diagnostic Radiology, Clinical Sciences, Lund University, Lund, Sweden.
Lund University · SECzech Technical University in Prague · CZKennedy Krieger Institute · USSkåne University Hospital · SE

Funding

Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON, WESTIN, CARL-FREDRIK · 2012 to 2022
$20.9M
Novel DT-MRI Analyses of White Matter in SchizophreniaR01MH074794 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2007 to 2021
$9.6M
NIBIB NIH HHS P41 EB015902NIMH NIH HHS R01 MH074794
6 · The paper itself

Abstract

backgroundMean diffusivity (MD) and fractional anisotropy (FA) from diffusion MRI (dMRI) have been associated with cell density and tissue anisotropy across tumors, but it is unknown whether these associations persist at the microscopic level. PURPOSE: To quantify the degree to which cell density and anisotropy, as determined from histology, account for the intra-tumor variability of MD and FA in meningioma tumors. Furthermore, to clarify whether other histological features account for additional intra-tumor variability of dMRI parameters. MATERIALS AND

methodsWe performed ex-vivo dMRI at 200 μm isotropic resolution and histological imaging of 16 excised meningioma tumor samples. Diffusion tensor imaging (DTI) was used to map MD and FA, as well as the in-plane FA (FA

resultsCell density assessed by histology poorly explained intra-tumor variability of MD at the mesoscopic level (200 μm), as median R

conclusionCell density and structure anisotropy account for variability in MD and FA

Indexed as

Meningeal NeoplasmsMeningiomaAnisotropyDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingHumansCell densityCellularityDiffusion tensor imagingFractional anisotropyMean diffusivityMeningioma

Identifiers

PMID36898293
PMCPMC10020119
OpenAlexW4322765972

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read13
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.