Evidence map›Paper›PMID 29594656›Full record

ArticleJournal of neuro-oncology2018

Glioblastoma (GBM) effects on quantitative MRI of contralateral normal appearing white matter.

Hatef Mehrabian, Wilfred W Lam, Sten Myrehaug, Arjun Sahgal, Greg J Stanisz

Abstract read
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In one paragraph

Article in Journal of neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Microstructural Abnormalities in the Contralateral Normal-appearing White Matter of Glioblastoma Patients Evaluated with Advanced Diffusion Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
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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

5 authors.

Hatef MehrabianMedical Biophysics, University of Toronto, Toronto, ON, Canada. hatef.mehrabian@sunnybrook.ca.ORCID http://orcid.org/0000-0002-3409-9948
Wilfred W LamMedical Biophysics, University of Toronto, Toronto, ON, Canada.
Sten MyrehaugRadiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Arjun SahgalPhysical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada.
Greg J StaniszMedical Biophysics, University of Toronto, Toronto, ON, Canada.

Funding

Canadian Cancer Society Research Institute CCSRI 701640Fondation Brain Canada CCSRI 705083Terry Fox Research Institute TFRI project 1034
6 · The paper itself

Abstract

purposeThe objective was to investigate (with quantitative MRI) whether the normal appearing white matter (NAWM) of glioblastoma (GBM) patients on the contralateral side (cNAWM) was different from NAWM of healthy controls.

methodsThirteen patients with newly diagnosed GBM and nine healthy age-matched controls were MRI-scanned with quantitative magnetization transfer (qMT), chemical exchange saturation transfer (CEST), and transverse relaxation time (T

resultsThere was no difference between GBM patients and normal controls in the qMT properties of the macromolecular pool [Formula: see text]. However, their free water pool spectrum was different (1/R

conclusionsCEST in cNAWM of GBM patients was lower than healthy controls which could be caused by modified brain metabolism due to tumor cell infiltration. There was no difference in MT properties of the patients and controls, however, the differences in free water pool properties were mainly due to reduced T

Indexed as

Magnetic Resonance ImagingBrainBrain NeoplasmsFemaleFunctional LateralityGlioblastomaHumansImage Processing, Computer-AssistedMaleMiddle AgedWhite MatterChemical exchange saturation transfer (CEST)Glioblastoma (GBM)Normal appearing white matter (NAWM)Quantitative magnetization transfer (qMT)

Identifiers

What OpenQuestion holds

Textmetadata
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.