Evidence map›Paper›PMID 31413006›Full record

ArticleAJNR. American journal of neuroradiology2019

Molecular Subtype Classification in Lower-Grade Glioma with Accelerated DTI.

E Aliotta, H Nourzadeh, P P Batchala, D Schiff, M B Lopes, J T Druzgal, S Mukherjee, S H Patel

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. MRI biomarkers in neuro-oncology.Nature reviews. Neurology · 2021
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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

8 authors.

E AliottaFrom the Departments of Radiation Oncology (E.A., H.N.) eric.aliotta@virginia.edu.ORCID 0000-0002-7666-0254
H NourzadehFrom the Departments of Radiation Oncology (E.A., H.N.).ORCID 0000-0002-1686-4466
P P BatchalaRadiology (P.P.B., J.T.D., S.M., S.H.P.).ORCID 0000-0002-3744-7012
D SchiffNeurology (D.S.).ORCID 0000-0002-1896-2502
M B LopesPathology (Neuropathology) (M.B.L.), University of Virginia, Charlottesville, Virginia.ORCID 0000-0001-8661-6727
J T DruzgalRadiology (P.P.B., J.T.D., S.M., S.H.P.).ORCID 0000-0001-7240-9487
S MukherjeeRadiology (P.P.B., J.T.D., S.M., S.H.P.).ORCID 0000-0001-6031-2557
S H PatelRadiology (P.P.B., J.T.D., S.M., S.H.P.).ORCID 0000-0002-9739-4362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeImage-based classification of lower-grade glioma molecular subtypes has substantial prognostic value. Diffusion tensor imaging has shown promise in lower-grade glioma subtyping but currently requires lengthy, nonstandard acquisitions. Our goal was to investigate lower-grade glioma classification using a machine learning technique that estimates fractional anisotropy from accelerated diffusion MR imaging scans containing only 3 diffusion-encoding directions. MATERIALS AND

methodsPatients with lower-grade gliomas (

resultsADC (

conclusionsFractional anisotropy estimates made from accelerated 3-direction DTI scans add value in classifying lower-grade glioma molecular status.

Indexed as

AdolescentAdultAgedAnisotropyArea Under CurveBrain NeoplasmsCohort StudiesDiffusion Tensor ImagingFemaleGliomaHumansImage Processing, Computer-AssistedIsocitrate DehydrogenaseMaleMiddle AgedMolecular ImagingIDH1 protein, humanIsocitrate Dehydrogenase

Identifiers

PMID31413006
PMCPMC7048441

What OpenQuestion holds

Textmetadata
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.