ArticleEuropean radiology2012
Quantitative MR imaging and spectroscopy of brain tumours: a step forward?
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.
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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.
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Who cites it
7 citing papers in PubMed.
- The Diagnostic Ability of Follow-Up Imaging Biomarkers after Treatment of Glioblastoma in the Temozolomide Era: Implications from Proton MR Spectroscopy and Apparent Diffusion Coefficient Mapping.BioMed research international · 2015Trial
- Magnetic resonance relaxometry in quantitative imaging of brain gliomas: A literature review.The neuroradiology journal · 2024Review
- Effect of methylprednisolone on experimental brain edema in magnetic resonance imaging.Physiological research · 2020Article
- Magnetic Resonance Fingerprinting to Characterize Childhood and Young Adult Brain Tumors.Pediatric neurosurgery · 2019Observational
- MR Fingerprinting of Adult Brain Tumors: Initial Experience.AJNR. American journal of neuroradiology · 2017Article
- Molecular and metabolic pattern classification for detection of brain glioma progression.European journal of radiology · 2014Article
- 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 NeuroimagingArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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