Evidence map›Paper›PMID 37316586›Full record

ArticleNeuroradiology2023

Correlating MRI features with additional genetic markers and patient survival in histological grade 2-3 IDH-mutant astrocytomas.

Arian Lasocki, Michael E Buckland, Tahlia Molinaro, Jing Xie, James R Whittle, Heng Wei, Frank Gaillard

Open access · hybridAbstract read
In one paragraph

Article in Neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  3. Article
  4. Review
  5. T2-FLAIR Mismatch Sign Predicts DNA Methylation Subclass and CDKN2A/B Status in IDH-Mutant Astrocytomas.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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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 5 institutions in 1 country.

Arian LasockiDepartment of Cancer Imaging, Peter MacCallum Cancer Centre, Grattan St, Melbourne, Melbourne, Victoria, 3000, Australia. arian.lasocki@petermac.org.ORCID http://orcid.org/0000-0001-8176-3015
Michael E BucklandDepartment of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.ORCID https://orcid.org/0000-0003-4755-6471
Tahlia MolinaroDepartment of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-0355-5573
Jing XieCentre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-6694-3587
James R WhittleSir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia.ORCID https://orcid.org/0000-0002-4740-2037
Heng WeiDepartment of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.ORCID https://orcid.org/0000-0003-2944-031X
Frank GaillardDepartment of Radiology, The University of Melbourne, Parkville, Victoria, Australia.ORCID https://orcid.org/0000-0002-2382-872X
Peter MacCallum Cancer Centre · AUThe University of Melbourne · AURoyal Prince Alfred Hospital · AUThe Royal Melbourne Hospital · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe increasing importance of molecular markers for classification and prognostication of diffuse gliomas has prompted the use of imaging features to predict genotype ("radiogenomics"). CDKN2A/B homozygous deletion has only recently been added to the diagnostic paradigm for IDH[isocitrate dehydrogenase]-mutant astrocytomas; thus, associated radiogenomic literature is sparse. There is also little data on whether different IDH mutations are associated with different imaging appearances. Furthermore, given that molecular status is now generally obtained routinely, the additional prognostic value of radiogenomic features is less clear. This study correlated MRI features with CDKN2A/B status, IDH mutation type and survival in histological grade 2-3 IDH-mutant brain astrocytomas.

methodsFifty-eight grade 2-3 IDH-mutant astrocytomas were identified, 50 with CDKN2A/B results. IDH mutations were stratified into IDH1-R132H and non-canonical mutations. Background and survival data were obtained. Two neuroradiologists independently assessed the following MRI features: T2-FLAIR mismatch (<25%, 25-50%, >50%), well-defined tumour margins, contrast-enhancement (absent, wispy, solid) and central necrosis.

results8/50 tumours with CDKN2A/B results demonstrated homozygous deletion; slightly shorter survival was not significant (p=0.571). IDH1-R132H mutations were present in 50/58 (86%). No MRI features correlated with CDKN2A/B status or IDH mutation type. T2-FLAIR mismatch did not predict survival (p=0.977), but well-defined margins predicted longer survival (HR 0.36, p=0.008), while solid enhancement predicted shorter survival (HR 3.86, p=0.004). Both correlations remained significant on multivariate analysis.

conclusionMRI features did not predict CDKN2A/B homozygous deletion, but provided additional positive and negative prognostic information which correlated more strongly with prognosis than CDKN2A/B status in our cohort.

Indexed as

AstrocytomaBrain NeoplasmsGenetic MarkersHomozygoteHumansIsocitrate DehydrogenaseMutationSequence DeletionGenetic MarkersIsocitrate DehydrogenaseGliomaImaging genomicsIsocitrate dehydrogenaseMagnetic resonance imagingRadiogenomics

Identifiers

PMID37316586
PMCPMC10338396
OpenAlexW4380686630

What OpenQuestion holds

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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.