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Erschienen in: Journal of Neuro-Oncology 2/2016

01.04.2016 | Clinical Study

The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types

verfasst von: Mériam Koob, Nadine Girard, Badih Ghattas, Slim Fellah, Sylviane Confort-Gouny, Dominique Figarella-Branger, Didier Scavarda

Erschienen in: Journal of Neuro-Oncology | Ausgabe 2/2016

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Abstract

Childhood brain tumors show great histological variability. The goal of this retrospective study was to assess the diagnostic accuracy of multimodal MR imaging (diffusion, perfusion, MR spectroscopy) in the distinction of pediatric brain tumor grades and types. Seventy-six patients (range 1 month to 18 years) with brain tumors underwent multimodal MR imaging. Tumors were categorized by grade (I–IV) and by histological type (A–H). Multivariate statistical analysis was performed to evaluate the diagnostic accuracy of single and combined MR modalities, and of single imaging parameters to distinguish the different groups. The highest diagnostic accuracy for tumor grading was obtained with diffusion–perfusion (73.24 %) and for tumor typing with diffusion–perfusion–MR spectroscopy (55.76 %). The best diagnostic accuracy was obtained for tumor grading in I and IV and for tumor typing in embryonal tumor and pilocytic astrocytoma. Poor accuracy was seen in other grades and types. ADC and rADC were the best parameters for tumor grading and typing followed by choline level with an intermediate echo time, CBV for grading and Tmax for typing. Multiparametric MR imaging can be accurate in determining tumor grades (primarily grades I and IV) and types (mainly pilocytic astrocytomas and embryonal tumors) in children.
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Metadaten
Titel
The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types
verfasst von
Mériam Koob
Nadine Girard
Badih Ghattas
Slim Fellah
Sylviane Confort-Gouny
Dominique Figarella-Branger
Didier Scavarda
Publikationsdatum
01.04.2016
Verlag
Springer US
Erschienen in
Journal of Neuro-Oncology / Ausgabe 2/2016
Print ISSN: 0167-594X
Elektronische ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-015-2042-4

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