Evidence map›Paper›PMID 36397143›Full record

SynthesisCancer imaging : the official publication of the International Cancer Imaging Society2022

Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review.

Arian Lasocki, Gehad Abdalla, Geoffrey Chow, Stefanie C Thust

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Cancer imaging : the official publication of the International Cancer Imaging Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Molecular and Pathological Features of Paediatric High-Grade Gliomas.International journal of molecular sciences · 2024
    Review
  10. H3Journal of clinical medicine · 2024
    Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
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

4 authors at 4 institutions in 4 countries.

Arian LasockiDepartment of Cancer Imaging, Peter MacCallum Cancer Centre, Grattan St, Melbourne, Victoria, 3000, Australia. arian.lasocki@petermac.org.ORCID http://orcid.org/0000-0001-8176-3015
Gehad AbdallaLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, UK.
Geoffrey ChowLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, UK.
Stefanie C ThustLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, UK.
Mansoura University Hospital · EGNational Institute for Physiological Sciences · JPThe Royal Free Hospital · GBThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in molecular diagnostics accomplished the discovery of two malignant glioma entities harboring alterations in the H3 histone: diffuse midline glioma, H3 K27-altered and diffuse hemispheric glioma, H3 G34-mutant. Radiogenomics research, which aims to correlate tumor imaging features with genotypes, has not comprehensively examined histone-altered gliomas (HAG). The aim of this research was to synthesize the current published data on imaging features associated with HAG.

methodsA systematic search was performed in March 2022 using PubMed and the Cochrane Library, identifying studies on the imaging features associated with H3 K27-altered and/or H3 G34-mutant gliomas.

resultsForty-seven studies fulfilled the inclusion criteria, the majority on H3 K27-altered gliomas. Just under half (21/47) were case reports or short series, the remainder being diagnostic accuracy studies. Despite heterogeneous methodology, some themes emerged. In particular, enhancement of H3 K27M-altered gliomas is variable and can be less than expected given their highly malignant behavior. Low apparent diffusion coefficient values have been suggested as a biomarker of H3 K27-alteration, but high values do not exclude this genotype. Promising correlations between high relative cerebral blood volume values and H3 K27-alteration require further validation. Limited data on H3 G34-mutant gliomas suggest some morphologic overlap with 1p/19q-codeleted oligodendrogliomas.

conclusionsThe existing data are limited, especially for H3 G34-mutant gliomas and artificial intelligence techniques. Current evidence indicates that imaging-based predictions of HAG are insufficient to replace histological assessment. In particular, H3 K27-altered gliomas should be considered when occurring in typical midline locations irrespective of enhancement characteristics.

Indexed as

Brain NeoplasmsGliomaArtificial IntelligenceHistonesHumansMutationHistonesH3 G34-mutant gliomaH3 K27M-altered gliomaMagnetic resonance imagingRadiogenomics

Identifiers

PMID36397143
PMCPMC9673447
OpenAlexW4309179920

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.