RT Journal Article
SR Electronic
T1 Cortically Based Brain Tumors in Children: A Decision-Tree Approach in the Radiology Reading Room
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
SP 11
OP 23
DO 10.3174/ajnr.A8477
VO 46
IS 1
A1 Rameh, V.
A1 Löbel, U.
A1 D’Arco, F.
A1 Bhatia, A.
A1 Mankad, K.
A1 Poussaint, T.Y.
A1 Alves, C.A.
YR 2025
UL http://www.ajnr.org/content/46/1/11.abstract
AB 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.ABastroblastomaAGangiocentric gliomaATRTatypical teratoid/rhabdoid tumorBCOR-ITDBCOR internal tandem duplicationDGONCdiffuse glioneuronal tumor with oligodendroglioma-like features and nuclear clustersDHGdiffuse hemispheric glioma, H3G34-mutantDIAdesmoplastic infantile astrocytomaDIGdesmoplastic infantile gliomaDNETdysembryoplastic neuroepithelial tumorEPependymomaETMRembryonal tumors with multilayered rosettesFCDfocal cortical dysplasiaGGganglioglioma/gangliocytomaICPintracranial pressureIHGinfant-type hemispheric gliomaLEATlong-term epilepsy-associated tumorMVNTmultinodular and vacuolating neuronal tumorNB-FOXR2CNS neuroblastoma, FOXR2-activatedOSoverall survivalpHGGpediatric diffuse high-grade gliomaspLGGpediatric diffuse low-grade gliomasPLNTYpolymorphous low-grade neuroepithelial tumor of the youngPXApleomorphic xanthoastrocytomaSTsupratentorialWHOWorld Health Organization