Identification of Multiclass Pediatric Low-Grade Neuroepithelial Tumor Molecular Subtype with ADC MR Imaging and Machine Learning-Reference-Cited by-同舟云学术

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Identification of Multiclass Pediatric Low-Grade Neuroepithelial Tumor Molecular Subtype with ADC MR Imaging and Machine Learning

Published:2024-04-11 Issue:6 Volume:45 Page:753-760
ISSN:0195-6108
Container-title:American Journal of Neuroradiology
language:en
Short-container-title:AJNR Am J Neuroradiol

Author:

Soldatelli Matheus D.^ORCID,Namdar Khashayar,Tabori Uri^ORCID,Hawkins Cynthia^ORCID,Yeom Kristen^ORCID,Khalvati Farzad^ORCID,Ertl-Wagner Birgit B.^ORCID,Wagner Matthias W.^ORCID

Funder

Canadian Institutes for Health Research

Canadian Cancer Society Research Institute

Publisher

American Society of Neuroradiology (ASNR)

Reference52 articles.

1. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2015–2019

2. Pediatric low-grade glioma in the era of molecular diagnostics

3. The 2021 WHO Classification of Tumors of the Central Nervous System: An update on pediatric low‐grade gliomas and glioneuronal tumors

4. Pediatric brain tumors: the era of molecular diagnostics, targeted and immune-based therapeutics, and a focus on long term neurologic sequelae

5. Survival and long-term health and cognitive outcomes after low-grade glioma

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