Evidence map›Paper›PMID 36128131›Full record

ArticleSurgical neurology international2022

Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II-IV?

Martin Andres Merenzon, Jose Ignacio Gómez Escalante, Diego Prost, Eduardo Seoane, Alejandro Mazzon, Érica Rojas Bilbao

Open access · greenAbstract read
In one paragraph

Article in Surgical neurology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Martin Andres MerenzonDepartment of Neurosurgery, Instituto de Oncología Ángel H Roffo.
Jose Ignacio Gómez EscalanteDepartment of Diagnosis, Pathology, Instituto de Oncología Ángel H Roffo.
Diego ProstDepartment of Neuro-Oncology, Oncology, Instituto de Oncología Ángel H Roffo.
Eduardo SeoaneDepartment of Neurosurgery, "José María Ramos Mejía" General Hospital, Buenos Aires, Argentina.
Alejandro MazzonDepartment of Neurosurgery, Instituto de Oncología Ángel H Roffo.
Érica Rojas BilbaoDepartment of Diagnosis, Pathology, Instituto de Oncología Ángel H Roffo.
Instituto de Oncología de Rosario · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is already known that gliomas biomolecular parameters have a reliable prognostic value. However, an invasive procedure is required to determine them. Our aim was to better understand the clinical characteristics of gliomas Grades II-IV and to assess the usefulness of imaging features in magnetic resonance imaging (MRI) to predict the isocitrate dehydrogenase one (IDH1) mutation. Methods: Preoperative MRI characteristics were retrospectively reviewed and molecular diagnosis of gliomas was tested in adult patients between 2014 and 2021 in two institutions. We applied a biological criterion to divide the brain in cerebral compartments. Results: A total of 108 patients met the inclusion criteria. Contrast enhancement (CE) in MRI was significantly associated with wild-type IDH1 (IDH1-Wt) ( Conclusion: Our research revealed that CE is useful for predicting IDH1-Wt in gliomas. On the contrary, nonCE is not useful for predicting IDH1-Mut gliomas. Thus, the traditional concept of associating non-CE MRI with a low-grade glioma should be reviewed, as it can lead to an underestimation of the potential aggressiveness of the tumor. If this association was validated with the future prospective studies, a noninvasive tool would be available for predicting gliomas IDH1 mutation status.

Indexed as

GliomaIsocitrate dehydrogenaseLimbic systemMolecular diagnosisParalimbic systemRadiological features

Identifiers

PMID36128131
PMCPMC9479512
OpenAlexW4289878942

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.