Evidence map›Paper›PMID 25190201›Full record

SynthesisAJNR. American journal of neuroradiology2015

Meta-analysis of diffusion metrics for the prediction of tumor grade in gliomas.

V Z Miloushev, D S Chow, C G Filippi

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in AJNR. American journal of neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Imaging-Based Algorithm for the Local Grading of Glioma.AJNR. American journal of neuroradiology · 2020
    Trial
  2. Article
  3. Imaging in Neuro-oncology.Seminars in neurology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. MRI biomarkers in neuro-oncology.Nature reviews. Neurology · 2021
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  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

3 authors at 1 institution in 1 country.

V Z MiloushevFrom the Department of Diagnostic Radiology, Columbia University, New York, New York. vzm1@columbia.edu.
D S ChowFrom the Department of Diagnostic Radiology, Columbia University, New York, New York.
C G FilippiFrom the Department of Diagnostic Radiology, Columbia University, New York, New York.
Columbia University Irving Medical Center · US

Funding

Prepregnancy Phenotype &Predisposition to Pre-eclampsiaR01HL071944 · NHLBI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI BERNSTEIN, IRA MARK · 2004 to 2014
$3.0M
CHRONIC CONVECTION ENHANCED DELIVERY (CED) OF TOPOTECAN FOR GLIOBLASTOMAR01CA161404 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRUCE, JEFFREY N · 2012 to 2017
$2.9M
NCI NIH HHS 1R01CA161404-01ANCI NIH HHS R01 CA161404NHLBI NIH HHS 2R01HL071944-06NHLBI NIH HHS R01 HL071944
6 · The paper itself

Abstract

background and purposeDiffusion tensor metrics are potential in vivo quantitative neuroimaging biomarkers for the characterization of brain tumor subtype. This meta-analysis analyzes the ability of mean diffusivity and fractional anisotropy to distinguish low-grade from high-grade gliomas in the identifiable tumor core and the region of peripheral edema. MATERIALS AND

methodsA meta-analysis of articles with mean diffusivity and fractional anisotropy data for World Health Organization low-grade (I, II) and high-grade (III, IV) gliomas, between 2000 and 2013, was performed. Pooled data were analyzed by using the odds ratio and mean difference. Receiver operating characteristic analysis was performed for patient-level data.

resultsThe minimum mean diffusivity of high-grade gliomas was decreased compared with low-grade gliomas. High-grade gliomas had decreased average mean diffusivity values compared with low-grade gliomas in the tumor core and increased average mean diffusivity values in the peripheral region. High-grade gliomas had increased FA values compared with low-grade gliomas in the tumor core, decreased values in the peripheral region, and a decreased fractional anisotropy difference between the tumor core and peripheral region.

conclusionsThe minimum mean diffusivity differs significantly with respect to the World Health Organization grade of gliomas. Statistically significant effects of tumor grade on average mean diffusivity and fractional anisotropy were observed, supporting the concept that high-grade tumors are more destructive and infiltrative than low-grade tumors. Considerable heterogeneity within the literature may be due to systematic factors in addition to underlying lesion heterogeneity.

Indexed as

AnisotropyBrain NeoplasmsDiffusionDiffusion Tensor ImagingGliomaHumansMaleNeoplasm GradingNeuroimagingOdds RatioROC CurveWorld Health Organization

Identifiers

PMID25190201
PMCPMC7965672
OpenAlexW2132639123

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.