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Whole-body PET/MRI of Pediatric Patients: The Details That Matter
Published on: December 19, 2017
The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types
Mériam Koob1,2, Nadine Girard3,4, Badih Ghattas5
1Service de Radiopédiatrie/Imagerie 2, CHU de Strasbourg-Hôpital de Hautepierre, 1 Avenue Molière, 67098, Strasbourg Cedex, France. meriam.koob@chru-strasbourg.fr.
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.
Insights
Multimodal MRI accurately distinguishes pediatric brain tumor grades and types. Diffusion and perfusion imaging showed the highest diagnostic accuracy for grading, while adding MR spectroscopy improved tumor typing.
Area of Science:
- Pediatric Radiology
- Neuro-oncology
- Medical Imaging
Background:
- Childhood brain tumors exhibit significant histological diversity.
- Accurate grading and typing are crucial for effective treatment and prognosis.
Purpose of the Study:
- To evaluate the diagnostic accuracy of multimodal magnetic resonance (MR) imaging in differentiating pediatric brain tumor grades and histological types.
- To assess the performance of individual and combined MR imaging techniques.
Main Methods:
- Retrospective analysis of multimodal MR imaging (diffusion, perfusion, MR spectroscopy) in 76 pediatric patients.
- Tumors categorized by grade (I-IV) and histological type (A-H).
- Multivariate statistical analysis to determine diagnostic accuracy.
Main Results:
- Diffusion-perfusion imaging achieved the highest accuracy for tumor grading (73.24%).
- Diffusion-perfusion-MR spectroscopy yielded the highest accuracy for tumor typing (55.76%).
- Highest accuracy was observed for grading in grades I and IV, and for typing in embryonal tumors and pilocytic astrocytomas.
Conclusions:
- Multiparametric MR imaging demonstrates significant accuracy in grading (especially I and IV) and typing (embryonal tumors, pilocytic astrocytomas) pediatric brain tumors.
- Diffusion-weighted imaging (ADC, rADC) and perfusion parameters (CBV, Tmax) are key indicators.
- Further research may improve accuracy for other tumor grades and types.
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