Evidence map›Paper›PMID 31389669›Full record

SynthesisCancer medicine2019

Diagnostic accuracy of dynamic contrast-enhanced perfusion MRI in stratifying gliomas: A systematic review and meta-analysis.

Sachi Okuchi, Antonio Rojas-Garcia, Agne Ulyte, Ingeborg Lopez, Jurgita Ušinskienė, Martin Lewis, Sara M Hassanein, Eser Sanverdi, Xavier Golay, Stefanie Thust and 2 more

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Imaging in Neuro-oncology.Seminars in neurology · 2025
    Review
  6. Article
  7. Article
  8. Article
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  12. Article
  13. Review
  14. Article
  15. Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  16. Advanced pediatric neuroimaging.Pediatric radiology · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. 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

12 authors.

Sachi OkuchiDepartment of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.
Antonio Rojas-GarciaDepartment of Applied Health Research, University College London, London, UK.
Agne UlyteEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Ingeborg LopezNeuroradiology, Institute of Neurosurgery Dr. A. Asenjo, Santiago, Chile.
Jurgita UšinskienėDiagnostic and Interventional Radiology Department, Faculty of Medicine, National Cancer Institute, Vilnius University, Vilnius, Lithuania.
Martin LewisDepartment of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.
Sara M HassaneinDepartment of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.
Eser SanverdiDepartment of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.
Xavier GolayDepartment of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.
Stefanie ThustDepartment of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.
Jasmina Panovska-GriffithsDepartment of Applied Health Research, University College London, London, UK.
Sotirios BisdasDepartment of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.ORCID 0000-0001-9930-5549

Funding

The National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre (UCLH BRC) BRC345/NS/SB/101410The NIHR Collaboration for Leadership in Applied Health Research and Care North Thames at Bart's Health NHS Trust (NIHR CLAHRC North Thames)
6 · The paper itself

Abstract

backgroundT1-weighted dynamic contrast-enhanced (DCE) perfusion magnetic resonance imaging (MRI) has been broadly utilized in the evaluation of brain tumors. We aimed at assessing the diagnostic accuracy of DCE-MRI in discriminating between low-grade gliomas (LGGs) and high-grade gliomas (HGGs), between tumor recurrence and treatment-related changes, and between primary central nervous system lymphomas (PCNSLs) and HGGs.

methodsWe performed this study based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis of Diagnostic Test Accuracy Studies criteria. We systematically surveyed studies evaluating the diagnostic accuracy of DCE-MRI for the aforementioned entities. Meta-analysis was conducted with the use of a random effects model.

resultsTwenty-seven studies were included after screening of 2945 possible entries. We categorized the eligible studies into three groups: those utilizing DCE-MRI to differentiate between HGGs and LGGs (14 studies, 546 patients), between recurrence and treatment-related changes (9 studies, 298 patients) and between PCNSLs and HGGs (5 studies, 224 patients). The pooled sensitivity, specificity, and area under the curve for differentiating HGGs from LGGs were 0.93, 0.90, and 0.96, for differentiating tumor relapse from treatment-related changes were 0.88, 0.86, and 0.89, and for differentiating PCNSLs from HGGs were 0.78, 0.81, and 0.86, respectively.

conclusionsDynamic contrast-enhanced-Magnetic resonance imaging is a promising noninvasive imaging method that has moderate or high accuracy in stratifying gliomas. DCE-MRI shows high diagnostic accuracy in discriminating between HGGs and their low-grade counterparts, and moderate diagnostic accuracy in discriminating recurrent lesions and treatment-related changes as well as PCNSLs and HGGs.

Indexed as

Area Under CurveBrain NeoplasmsContrast MediaGliomaHumansMagnetic Resonance AngiographyNeoplasm GradingNeoplasm Recurrence, LocalSensitivity and SpecificityContrast Mediadynamic contrast-enhanced MRIgliomaslymphomameta-analysisperfusion

Identifiers

PMID31389669
PMCPMC6745862

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.