Evidence map›Paper›PMID 31882644›Full record

ArticleScientific reports2019

The Impact of MRI Features and Observer Confidence on the Treatment Decision-Making for Patients with Untreated Glioma.

Paulina Due-Tønnessen, Marco C Pinho, Kyrre E Emblem, John K Hald, Masafumi Kanoto, Andreas Abildgaard, Donatas Sederevicius, Inge R Groote, Otto Rapalino, Atle Bjørnerud

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Paulina Due-TønnessenDepartment of Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway. pdue@ous-hf.no.
Marco C PinhoDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Kyrre E EmblemDepartment of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
John K HaldDepartment of Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
Masafumi KanotoDepartment of Diagnostic Radiology, Faculty of Medicine, Yamagata University, Yamagata, Japan.
Andreas AbildgaardDepartment of Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
Donatas SedereviciusDepartment of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
Inge R GrooteDepartment of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
Otto RapalinoDepartment of Radiology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5038-4183
Atle BjørnerudDepartment of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
Oslo University Hospital · NOHarvard University · USThe University of Texas Southwestern Medical Center · USYamagata University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a blind, dual-center, multi-observer setting, we here identify the pre-treatment radiologic features by Magnetic Resonance Imaging (MRI) associated with subsequent treatment options in patients with glioma. Study included 220 previously untreated adult patients from two institutions (94 + 126 patients) with a histopathologically confirmed diagnosis of glioma after surgery. Using a blind, cross-institutional and randomized setup, four expert neuroradiologists recorded radiologic features, suggested glioma grade and corresponding confidence. The radiologic features were scored using the Visually AcceSAble Rembrandt Images (VASARI) standard. Results were retrospectively compared to patient treatment outcomes. Our findings show that patients receiving a biopsy or a subtotal resection were more likely to have a tumor with pathological MRI-signal (by T2-weighted Fluid-Attenuated Inversion Recovery) crossing the midline (Hazard Ratio; HR = 1.30 [1.21-1.87], P < 0.001), and those receiving a biopsy sampling more often had multifocal lesions (HR = 1.30 [1.16-1.64], P < 0.001). For low-grade gliomas (N = 50), low observer confidence in the radiographic readings was associated with less chance of a total resection (P = 0.002) and correlated with the use of a more comprehensive adjuvant treatment protocol (Spearman = 0.48, P < 0.001). This study may serve as a guide to the treating physician by identifying the key radiologic determinants most likely to influence the treatment decision-making process.

Indexed as

AdultAgedAged, 80 and overBrain NeoplasmsClinical Decision-MakingFemaleGliomaHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingProportional Hazards ModelsYoung Adult

Identifiers

PMID31882644
PMCPMC6934740
OpenAlexW2998212985

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.