Evidence map›Paper›PMID 30542625›Full record

ArticleActa radiologica open2018

Dynamic contrast-enhanced magnetic resonance imaging may act as a biomarker for vascular damage in normal appearing brain tissue after radiotherapy in patients with glioblastoma.

Markus Fahlström, Samuel Fransson, Erik Blomquist, Tufve Nyholm, Elna-Marie Larsson

Open access · goldAbstract read
In one paragraph

Article in Acta radiologica open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 26% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  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

5 authors at 2 institutions in 1 country.

Markus FahlströmDepartment of Radiology, Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-2502-6026
Samuel FranssonDepartment of Radiology, Surgical Sciences, Uppsala University, Uppsala, Sweden.
Erik BlomquistDepartment of Experimental and Clinical Oncology, Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Tufve NyholmDepartment of Radiation Physics, Radiation Sciences, Umeå University, Umeå, Sweden.
Elna-Marie LarssonDepartment of Radiology, Surgical Sciences, Uppsala University, Uppsala, Sweden.
Uppsala University · SEUmeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a promising perfusion method and may be useful in evaluating radiation-induced changes in normal-appearing brain tissue. PURPOSE: To assess whether radiotherapy induces changes in vascular permeability (K MATERIAL AND

methodsSeventeen patients with glioblastoma treated with radiotherapy and chemotherapy were included; five were excluded because of inconsistencies in the radiotherapy protocol or early drop-out. DCE-MRI, contrast-enhanced three-dimensional (3D) T1-weighted (T1W) images and T2-weighted fluid attenuated inversion recovery (T2-FLAIR) images were acquired before and on average 3.3, 30.6, 101.6, and 185.7 days after radiotherapy. Pre-radiotherapy CE T1W and T2-FLAIR images were segmented into white and gray matter, excluding all non-healthy tissue. K

resultsGlobal K

conclusionAdditional studies are needed to validate if K

Indexed as

DCE-MRIDynamic contrast-enhanced magnetic resonance imagingglioblastomanormal-appearing brain tissueradiation effectsradiation therapy/oncology

Identifiers

PMID30542625
PMCPMC6236579
OpenAlexW2900253769

What OpenQuestion holds

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LicenceCC BY-NC
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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.