Evidence map›Paper›PMID 26767528›Full record

SynthesisNeuroradiology2016

Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics.

Jurgita Usinskiene, Agne Ulyte, Atle Bjørnerud, Jonas Venius, Vasileios K Katsaros, Ryte Rynkeviciene, Simona Letautiene, Darius Norkus, Kestutis Suziedelis, Saulius Rocka and 2 more

Erratum issuedAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Diagnostic Accuracy ofJournal of magnetic resonance imaging : JMRI · 2025
    Article
  6. Article
  7. 7 Tesla magnetic resonance spectroscopic imaging predicting IDH status and glioma grading.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. CEST MRI provides amide/amine surrogate biomarkers for treatment-naïve glioma sub-typing.European journal of nuclear medicine and molecular imaging · 2022
    Article
  15. The Use ofDiagnostics (Basel, Switzerland) · 2022
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jurgita UsinskieneNational Cancer Institute, Radiology Center, Santariskiu 1, LT-08660, Vilnius, Lithuania. jurgita.usinskiene@gmail.com.
Agne UlyteFaculty of Medicine, Vilnius University, Vilnius, Lithuania.
Atle BjørnerudDepartment of Physics, Oslo University Hospital, Oslo, Norway.
Jonas VeniusNational Cancer Institute, Radiology Center, Santariskiu 1, LT-08660, Vilnius, Lithuania.
Vasileios K KatsarosGeneral Anti-Cancer and Oncological Hospital "St. Savvas", Athens, Greece.
Ryte RynkevicieneNational Cancer Institute, Radiology Center, Santariskiu 1, LT-08660, Vilnius, Lithuania.
Simona LetautieneNational Cancer Institute, Radiology Center, Santariskiu 1, LT-08660, Vilnius, Lithuania.
Darius NorkusNational Cancer Institute, Radiology Center, Santariskiu 1, LT-08660, Vilnius, Lithuania.
Kestutis SuziedelisNational Cancer Institute, Radiology Center, Santariskiu 1, LT-08660, Vilnius, Lithuania.
Saulius RockaFaculty of Medicine, Vilnius University, Vilnius, Lithuania.
Andrius UsinskasDepartment of Electronic Systems, Vilnius Gedimino Technical University, Vilnius, Lithuania.
Eduardas AleknaviciusNational Cancer Institute, Radiology Center, Santariskiu 1, LT-08660, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo perform a meta-analysis of advanced magnetic resonance imaging (MRI) metrics, including relative cerebral blood volume (rCBV), normalized apparent diffusion coefficient (nADC), and spectroscopy ratios choline/creatine (Cho/Cr) and choline/N-acetyl aspartate (Cho/NAA), for the differentiation of high- and low-grade gliomas (HGG, LGG) and metastases (MTS).

methodsFor systematic review, 83 articles (dated 2000-2013) were selected from the NCBI database. Twenty-four, twenty-two, and eight articles were included respectively for spectroscopy, rCBV, and nADC meta-analysis. In the meta-analysis, we calculated overall means for rCBV, nADC, Cho/Cr (short TE-from 20 to 35 ms, medium-from 135 to 144 ms), and Cho/NAA for the HGG, LGG, and MTS groups. We used random effects model to obtain weighted averages and select thresholds.

resultsOverall means (with 95% CI) for rCBV, nADC, Cho/Cr (short and medium echo time, TE), and Cho/NAA were: for HGG 5.47 (4.78-6.15), 1.38 (1.16-1.60), 2.40 (1.67-3.13), 3.27 (2.78-3.77), and 4.71 (3.24-6.19); for LGG 2.00 (1.71-2.28), 1.61 (1.36-1.87), 1.46 (1.20-1.72), 1.71 (1.49-1.93), and 2.36 (1.50-3.23); for MTS 5.06 (3.85-6.27), 1.35 (1.06-1.64), 1.89 (1.72-2.06), 3.14 (1.57-4.72), (Cho/NAA was not available). LGG had significantly lower rCBV, Cho/Cr, and Cho/NAA values than HGG or MTS. No significant differences were found for nADC.

conclusionsBest differentiation between HGG and LGG is obtained from rCBV, Cho/Cr, and Cho/NAA metrics. MTS could not be reliably distinguished from HGG by the methods investigated.

Indexed as

Brain NeoplasmsGliomaHumansMagnetic Resonance AngiographyMagnetic Resonance ImagingMagnetic Resonance SpectroscopyNeoplasm GradingBrain tumorDiffusion magnetic resonance imagingMagnetic resonance spectroscopyMeta-analysisPerfusion magnetic resonance imaging

Identifiers

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.