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Review ArticlePediatric Neuroimaging

Cortically Based Brain Tumors in Children: A Decision-Tree Approach in the Radiology Reading Room

V. Rameh, U. Löbel, F. D’Arco, A. Bhatia, K. Mankad, T.Y. Poussaint and C.A. Alves
American Journal of Neuroradiology January 2025, 46 (1) 11-23; DOI: https://doi.org/10.3174/ajnr.A8477
V. Rameh
aFrom the Department of Radiology (V.R., T.Y.P., C.A.A.), Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
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U. Löbel
bDepartment of Radiology (U.L., F.D., K.M.), Great Ormond Street Hospital for Children, National Health Service Foundation Trust, London, UK
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F. D’Arco
bDepartment of Radiology (U.L., F.D., K.M.), Great Ormond Street Hospital for Children, National Health Service Foundation Trust, London, UK
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A. Bhatia
cDepartment of Radiology (A.B.), Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
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K. Mankad
bDepartment of Radiology (U.L., F.D., K.M.), Great Ormond Street Hospital for Children, National Health Service Foundation Trust, London, UK
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T.Y. Poussaint
aFrom the Department of Radiology (V.R., T.Y.P., C.A.A.), Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
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C.A. Alves
aFrom the Department of Radiology (V.R., T.Y.P., C.A.A.), Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
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Graphical Abstract

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SUMMARY:

Cortically based brain tumors in children constitute a unique set of tumors with variably aggressive biologic behavior. Because radiologists play an integral role on the multidisciplinary medical team, a clinically useful and easy-to-follow flow chart for the differential diagnoses of these complex brain tumors is essential. This proposed algorithm tree provides the latest insights into the typical imaging characteristics and epidemiologic data that differentiate the tumor entities, taking into perspective the 2021 World Health Organization’s classification and highlighting classic as well as newly identified pathologic subtypes by using current molecular understanding.

ABBREVIATIONS:

AB
astroblastoma
AG
angiocentric glioma
ATRT
atypical teratoid/rhabdoid tumor
BCOR-ITD
BCOR internal tandem duplication
DGONC
diffuse glioneuronal tumor with oligodendroglioma-like features and nuclear clusters
DHG
diffuse hemispheric glioma, H3G34-mutant
DIA
desmoplastic infantile astrocytoma
DIG
desmoplastic infantile glioma
DNET
dysembryoplastic neuroepithelial tumor
EP
ependymoma
ETMR
embryonal tumors with multilayered rosettes
FCD
focal cortical dysplasia
GG
ganglioglioma/gangliocytoma
ICP
intracranial pressure
IHG
infant-type hemispheric glioma
LEAT
long-term epilepsy-associated tumor
MVNT
multinodular and vacuolating neuronal tumor
NB-FOXR2
CNS neuroblastoma, FOXR2-activated
OS
overall survival
pHGG
pediatric diffuse high-grade gliomas
pLGG
pediatric diffuse low-grade gliomas
PLNTY
polymorphous low-grade neuroepithelial tumor of the young
PXA
pleomorphic xanthoastrocytoma
ST
supratentorial
WHO
World Health Organization
  • © 2025 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 46 (1)
American Journal of Neuroradiology
Vol. 46, Issue 1
1 Jan 2025
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Cite this article
V. Rameh, U. Löbel, F. D’Arco, A. Bhatia, K. Mankad, T.Y. Poussaint, C.A. Alves
Cortically Based Brain Tumors in Children: A Decision-Tree Approach in the Radiology Reading Room
American Journal of Neuroradiology Jan 2025, 46 (1) 11-23; DOI: 10.3174/ajnr.A8477

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Cortical Brain Tumors in Children: Decision-tree
V. Rameh, U. Löbel, F. D’Arco, A. Bhatia, K. Mankad, T.Y. Poussaint, C.A. Alves
American Journal of Neuroradiology Jan 2025, 46 (1) 11-23; DOI: 10.3174/ajnr.A8477
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  • Article
    • Graphical Abstract
    • SUMMARY:
    • ABBREVIATIONS:
    • DECISION TREE
    • PEDIATRIC DIFFUSE HIGH-GRADE GLIOMAS
    • PEDIATRIC DIFFUSE LOW-GRADE GLIOMAS
    • CIRCUMSCRIBED ASTROCYTIC GLIOMAS
    • GLIONEURONAL AND NEURONAL TUMORS
    • EMBRYONAL TUMORS
    • EPENDYMAL TUMORS
    • CONCLUSIONS
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  • Neuroimaging Delineation and Progression of SLSMD
  • New CNS Embryonal Tumor Insights via MRI Analysis
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