Evidence map›Paper›PMID 36268388›Full record

ArticleAnnals of medicine and surgery (2012)2022

Role of Magnetic Resonance Imaging (MRI) in grading gliomas comparable with pathology: A cross-sectional study from Syria.

Nisreen Haydar, Khatoun Alyousef, Usama Alanan, Rana Issa, Fawaz Baddour, Zuheir Al-Shehabi, Moatasem Hussein Al-Janabi

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Multi-Omics Integration for Advancing Glioma Precision Medicine.Annals of clinical and translational neurology · 2026
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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

7 authors at 1 institution in 1 country.

Nisreen HaydarDepartment of Radiology, Tishreen University Hospital, Lattakia, Syria.
Khatoun AlyousefFaculty of Medicine, Tishreen University, Lattakia, Syria.
Usama AlananFaculty of Medicine, Cancer Research Center, Tishreen University, Lattakia, Syria.
Rana IssaDepartment of Pathology, Tishreen University Hospital, Lattakia, Syria.
Fawaz BaddourDepartment of Radiology, Tishreen University Hospital, Lattakia, Syria.
Zuheir Al-ShehabiDepartment of Pathology, Director of Cancer Research Center, Tishreen University Hospital, Lattakia, Syria.
Moatasem Hussein Al-JanabiDepartment of Pathology, Cancer Research Center, Tishreen University Hospital, Lattakia, Syria.
Tishreen University · SY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Gliomas are one of the most common brain tumors in adults with a poor prognosis in most patients. Magnetic Resonance Imaging (MRI) plays a critical role in the diagnosis, management, and follow-up of gliomas. The aim of this study is to assess the sensitivity and specificity of MRI in the preoperative grading of supratentorial gliomas in comparison to histopathology. Methods: A cross-sectional study included 39 patients, aged between 40 and 75 years with histologically diagnosed supratentorial gliomas who underwent conventional MR imaging, which included T1, T2, and FLAIR sequences from November 2018-December 2019 in the Department of Neurosurgery, Tishreen University Hospital, Lattakia. The histopathological typing and grading of the tumor were done by using 2016 WHO classification. The sensitivity, specificity, predictive value, and accuracy of MRI in determining tumor grade were calculated. The comparison was done between MRI findings and WHO histopathological grading. Results: The overall sensitivity and specificity of MRI findings in the assessment of high-grade gliomas were 100% and 91% respectively. The positive predictive value (PPV) was 66.6%, and the negative predictive value (NPV) was 100%. The overall accuracy was 94.9%. The agreement between histopathological and MRI findings was 72%. Conclusions: MRI plays an essential role in the initial diagnosis and grading of supratentorial gliomas with high sensitivity and specificity. It is considered a non-invasive method and is useful in cases where the biopsy procedure is a contraindication or rejected by the patient.

Indexed as

GlioblastomaGliomasHistopathologyMagnetic resonance imaging

Identifiers

PMID36268388
PMCPMC9577635
OpenAlexW4296143295

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.