Evidence map›Paper›PMID 32909115›Full record

ArticleJournal of neuro-oncology2020

Automated apparent diffusion coefficient analysis for genotype prediction in lower grade glioma: association with the T2-FLAIR mismatch sign.

Eric Aliotta, Sunil W Dutta, Xue Feng, Nicholas J Tustison, Prem P Batchala, David Schiff, M Beatriz Lopes, Rajan Jain, T Jason Druzgal, Sugoto Mukherjee and 1 more

Abstract read
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In one paragraph

Article in Journal of neuro-oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

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  9. Effect of Licochalcone-A Combined withEvidence-based complementary and alternative medicine : eCAM · 2022
    Article
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  11. Article
  12. Review
  13. MRI biomarkers in neuro-oncology.Nature reviews. Neurology · 2021
    Review
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  17. 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

11 authors at 4 institutions in 1 country.

Eric AliottaDepartment of Radiation Oncology, University of Virginia, Charlottesville, VA, 22908, USA.
Sunil W DuttaDepartment of Radiation Oncology, University of Virginia, Charlottesville, VA, 22908, USA.
Xue FengDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA.
Nicholas J TustisonDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, 22908, USA.
Prem P BatchalaDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, 22908, USA.
David SchiffDepartments of Neurology, Neurological Surgery, and Medicine, University of Virginia, Charlottesville, VA, 22908, USA.
M Beatriz LopesDepartments of Pathology (Neuropathology) and Neurological Surgery, University of Virginia, Charlottesville, VA, 22908, USA.
Rajan JainDepartments of Radiology and Neurosurgery, NYU-Langone Medical Center, New York, NY, 10016, USA.
T Jason DruzgalDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, 22908, USA.
Sugoto MukherjeeDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, 22908, USA.
Sohil H PatelDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, 22908, USA. shp4k@virginia.edu.ORCID http://orcid.org/0000-0002-9739-4362
University of Virginia · USNeurological Surgery · USNYU Langone Health · USUniversity of Virginia Medical Center · US

Funding

Radiological Society of North America RSCH1819
6 · The paper itself

Abstract

purposeThe prognosis of lower grade glioma (LGG) patients depends (in large part) on both isocitrate dehydrogenase (IDH) gene mutation and chromosome 1p/19q codeletion status. IDH-mutant LGG without 1p/19q codeletion (IDHmut-Noncodel) often exhibit a unique imaging appearance that includes high apparent diffusion coefficient (ADC) values not observed in other subtypes. The purpose of this study was to develop an ADC analysis-based approach that can automatically identify IDHmut-Noncodel LGG.

methodsWhole-tumor ADC metrics, including fractional tumor volume with ADC > 1.5 × 10

resultsV

conclusionTumor subregions with high ADC were a robust indicator of IDHmut-Noncodel LGG, with V

Indexed as

Chromosome AberrationsMutationAdultBiomarkers, TumorBrain NeoplasmsDiffusion Magnetic Resonance ImagingFollow-Up StudiesGenotypeGliomaHumansMaleMiddle AgedNeoplasm GradingRetrospective StudiesBiomarkers, TumorDiffusion weighted imagingGenetic classificationIDH mutationLower grade glioma

Identifiers

PMID32909115
OpenAlexW3084574942

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.