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ArticleEuropean radiology2012

Quantitative MR imaging and spectroscopy of brain tumours: a step forward?

Dita Wagnerova, Vit Herynek, Alberto Malucelli, Monika Dezortova, Josef Vymazal, Dusan Urgosik, Martin Syrucek, Filip Jiru, Antonin Skoch, Robert Bartos and 2 more

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Article in European radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Observational
  5. MR Fingerprinting of Adult Brain Tumors: Initial Experience.AJNR. American journal of neuroradiology · 2017
    Article
  6. Article
  7. Association of metabolite concentrations and water diffusivity in normal appearing brain tissue with glioma grade.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

12 authors.

Dita WagnerovaDepartment of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Videnska 1958/9, 140 21, Prague, Czech Republic. diwa@medicon.cz
Vit Herynek
Alberto Malucelli
Monika Dezortova
Josef Vymazal
Dusan Urgosik
Martin Syrucek
Filip Jiru
Antonin Skoch
Robert Bartos
Martin Sames
Milan Hajek

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesA prospective quantitative MR study of brain tumours was performed to show the potential of combining different MR techniques to distinguish various disease processes in routine clinical practice.

methodsTwenty-three patients with various intracranial tumours before treatment (diagnosis confirmed by a biopsy) and 59 healthy subjects were examined on a 3-T system by conventional MR imaging, 1H spectroscopic imaging, diffusion tensor imaging and T2 relaxometry. Metabolic concentrations and their ratios, T2 relaxation times and mean diffusivities were calculated and correlated on a pixel-by-pixel basis and compared to control data.

resultsDifferent tumour types and different localisations revealed specific patterns of correlations between metabolic concentrations and mean diffusivity or T2 relaxation times. The patterns distinguish given tissue states in the examined area: healthy tissue, tissue infiltrated by tumour, active tumour, oedema infiltrated by tumour, oedema, etc. This method is able to describe the complexity of a highly heterogeneous tissue in the tumour and its vicinity, and determines crucial parameters for tissue differentiation.

conclusionsA combination of different MR parameters on a pixel-by-pixel basis in individual patients enables better identification of the tumour type, direction of proliferation and assessment of the tumour extension. KEY POINTS : • Magnetic resonance offers many different methods of examining the brain. • A combination of quantitative MR parameters helps distinguish different brain lesions • Different tumour types revealed specific correlation patterns amongst different MR parameters • The correlation patterns reflect highly heterogeneous complex tissue within tumours.

Indexed as

AdultAgedBiopsyBrainBrain MappingBrain NeoplasmsCase-Control StudiesDiffusionDiffusion Tensor ImagingEdemaFemaleGliomaHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMagnetic Resonance Spectroscopy

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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.