Evidence map›Paper›PMID 30561164›Full record

ReviewJournal of magnetic resonance imaging : JMRI2019

Perfusion MRI in treatment evaluation of glioblastomas: Clinical relevance of current and future techniques.

Bart R J van Dijken, Peter Jan van Laar, Marion Smits, Jan Willem Dankbaar, Roelien H Enting, Anouk van der Hoorn

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

69 citing papers in PubMed, 106 citations in OpenAlex.

  1. Article
  2. Article
  3. Metabolic Imaging and Molecular Signatures Reveal Metabolic Phenotypes in Recurrent Glioblastoma.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  4. Review
  5. Article
  6. Article
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  8. Review
  9. Review
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  12. Article
  13. Clinical Translation of HyperpolarizedAJNR. American journal of neuroradiology · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Complex Diagnostic Challenges in Glioblastoma: The Role ofPharmaceuticals (Basel, Switzerland) · 2024
    Review
  20. Article

9 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Bart R J van DijkenDepartment of Radiology, Medical Imaging Center (MIC), University Medical Center Groningen, Groningen, the Netherlands.
Peter Jan van LaarDepartment of Radiology, Medical Imaging Center (MIC), University Medical Center Groningen, Groningen, the Netherlands.
Marion SmitsDepartment of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands.
Jan Willem DankbaarDepartment of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
Roelien H EntingDepartment of Neurology, University Medical Center Groningen, Groningen, the Netherlands.
Anouk van der HoornDepartment of Radiology, Medical Imaging Center (MIC), University Medical Center Groningen, Groningen, the Netherlands.
University Medical Center Groningen · NLErasmus MC · NLUniversity Medical Center Utrecht · NL

Funding

Junior Scientific MasterclassUniversity of Groningen with a Mandema
6 · The paper itself

Abstract

Treatment evaluation of patients with glioblastomas is important to aid in clinical decisions. Conventional MRI with contrast is currently the standard method, but unable to differentiate tumor progression from treatment-related effects. Pseudoprogression appears as new enhancement, and thus mimics tumor progression on conventional MRI. Contrarily, a decrease in enhancement or edema on conventional MRI during antiangiogenic treatment can be due to pseudoresponse and is not necessarily reflective of a favorable outcome. Neovascularization is a hallmark of tumor progression but not for posttherapeutic effects. Perfusion-weighted MRI provides a plethora of additional parameters that can help to identify this neovascularization. This review shows that perfusion MRI aids to identify tumor progression, pseudoprogression, and pseudoresponse. The review provides an overview of the most applicable perfusion MRI methods and their limitations. Finally, future developments and remaining challenges of perfusion MRI in treatment evaluation in neuro-oncology are discussed. Level of Evidence: 3 Technical Efficacy: Stage 4 J. Magn. Reson. Imaging 2019;49:11-22.

Indexed as

BrainBrain NeoplasmsContrast MediaDisease ProgressionEdemaGlioblastomaHumansImage Processing, Computer-AssistedMagnetic Resonance AngiographyNeuroimagingReproducibility of ResultsContrast Mediaglioblastomamagnetic resonance imagingperfusion imagingtreatment evaluation

Identifiers

PMID30561164
PMCPMC6590309
OpenAlexW2904808026

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.