Evidence map›Paper›PMID 29153364›Full record

ArticleEuropean journal of radiology2017

Application of arterial spin labeling perfusion MRI to differentiate benign from malignant intracranial meningiomas.

Xin J Qiao, Hyun Grace Kim, Danny J J Wang, Noriko Salamon, Michael Linetsky, Ali Sepahdari, Benjamin M Ellingson, Whitney B Pope

Open access · bronzeAbstract read
In one paragraph

Article in European journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
  3. Malignant Meningiomas: From Diagnostics to Treatment.Diagnostics (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Imaging Characteristics of Meningiomas.Advances in experimental medicine and biology · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

8 authors at 1 institution in 1 country.

Xin J QiaoDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Hyun Grace KimDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Danny J J WangDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Noriko SalamonDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Michael LinetskyDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Ali SepahdariDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Benjamin M EllingsonDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Whitney B PopeDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA. Electronic address: wpope@mednet.ucla.edu.
University of California, Los Angeles · US

Funding

UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI David A. Nathanson · 2017 to 2026
$25.2M
NCI NIH HHS P50 CA211015
6 · The paper itself

Abstract

purposeDifferentiating WHO grade I-III of meningioma by non-invasive imaging is challenging. This study investigated the potential of MR arterial spin labeling (ASL) to establish tumor grade in meningioma patients. MATERIAL AND

methodsPseudo-continuous ASL with 3D background suppressed gradient and spin echo (GRASE) was acquired on 54 patients with newly diagnosed or recurrent intracranial meningioma. Perfusion patterns characterized in CBF color maps were independently evaluated by three neuroradiologists blinded to patient history, and correlated with tumor grade from histo-pathological review.

resultsThree perfusion patterns could be discerned by visual evaluation of CBF maps. Pattern 1 consisted of homogeneous hyper-perfusion of the entire tumor; pattern 2 demonstrated heterogeneous hyper-perfusion; pattern 3 showed no substantial hyper-perfusion. Evaluation of the perfusion patterns was highly concordant among the three readers (Kendall W=0.9458, P<0.0001). Pattern 1 was associated with WHO Grade I meningioma of (P<0.0001). Patterns 2 and 3 were predictive of WHO Grade II and III meningioma (P<0.0001), with an odds ratio (OR, versus pattern 1) of 49.6 (P<0.01) in a univariate analysis, and an OR of 186.4 (P<0.01) in a multivariate analysis.

conclusionQualitative evaluation of ASL CBF maps can help differentiate benign (WHO Grade I) from higher grade (WHO Grade II and III) intracranial meningiomas, potentially impacting therapeutic strategy.

Indexed as

AdolescentAdultAgedAged, 80 and overArteriesBrain NeoplasmsFemaleHumansMagnetic Resonance AngiographyMagnetic Resonance ImagingMaleMeningeal NeoplasmsMeningiomaMiddle AgedNeoplasm Recurrence, LocalRetrospective StudiesSpin LabelsArterial spin labelingIntracranial meningiomaPerfusion-weighted imagingVascular endothelial growth factor

Identifiers

PMID29153364
PMCPMC6165628
OpenAlexW2762294562

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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.