Evidence map›Paper›PMID 29572636›Full record

ArticleEuropean radiology2018

Apparent diffusion coefficient for molecular subtyping of non-gadolinium-enhancing WHO grade II/III glioma: volumetric segmentation versus two-dimensional region of interest analysis.

S C Thust, S Hassanein, S Bisdas, J H Rees, H Hyare, J A Maynard, S Brandner, C Tur, H R Jäger, T A Yousry and 1 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Automated Diffusion Analysis for Noninvasive Prediction ofAJNR. American journal of neuroradiology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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 2 institutions in 1 country.

S C ThustNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK. s.thust@ucl.ac.uk.
S HassaneinNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.
S BisdasNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.
J H ReesDepartment of Clinical Neurology, National Hospital for Neurology and Neurosurgery, London, UK.
H HyareNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.
J A MaynardImaging Department, University College London Foundation Hospital, London, UK.
S BrandnerDepartment of Neurodegenerative Disease, UCL Institute of Neurology and Division of Neuropathology, London, UK.
C TurQueen Square MS Centre. Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, UK.
H R JägerNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.
T A YousryNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.
L ManciniNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.
University College London · GBNational Hospital for Neurology and Neurosurgery · GB

Funding

Medical Research Council MR/M009106/1
6 · The paper itself

Abstract

objectivesTo investigate if quantitative apparent diffusion coefficient (ADC) measurements can predict genetic subtypes of non-gadolinium-enhancing gliomas, comparing whole tumour against single slice analysis.

methodsVolumetric T2-derived masks of 44 gliomas were co-registered to ADC maps with ADC mean (ADC

resultsIsocitrate dehydrogenase (IDH) wild-type gliomas showed the lowest ADC values throughout (p < 0.001). ADC

conclusionsADC measurements can support the distinction of glioma subtypes. Volumetric and two-dimensional measurements yielded similar results in this study. KEY POINTS: • Diffusion-weighted MRI aids the identification of non-gadolinium-enhancing malignant gliomas • ADC measurements may permit non-gadolinium-enhancing glioma molecular subtyping • IDH wild-type gliomas have lower ADC values than IDH-mutant tumours • Single cross-section and volumetric ADC measurements yielded comparable results in this study.

Indexed as

Contrast MediaGadoliniumAdultBrainBrain NeoplasmsDiffusion Magnetic Resonance ImagingFemaleGliomaHumansImage EnhancementIsocitrate DehydrogenaseMaleMiddle AgedNeoplasm GradingRetrospective StudiesSensitivity and SpecificityContrast MediaGadoliniumIsocitrate DehydrogenaseBrainDiffusion magnetic resonance imagingGliomaIsocitrate dehydrogenaseNeuroimaging

Identifiers

PMID29572636
PMCPMC6096613
OpenAlexW2791155648

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.