Radiomics Can Distinguish Pediatric Supratentorial Embryonal Tumors, High-Grade Gliomas, and Ependymomas.

Michael Zhang Lydia T Tam Jason N Wright M Mohammadzadeh Michelle Han E Chen Matthias W Wagner J Nemalka Hollie A Lai A Eghbal Chang Y Ho Robert M Lober Samuel H Cheshier Nicholas A Vitanza Gerald A Grant Laura M Prolo Kristen W Yeom Alok I Jaju

Published in: AJNR. American journal of neuroradiology (2022)

In this multi-institutional study, we identified distinct radiomic phenotypes that distinguish pediatric supratentorial tumors, high-grade gliomas, and ependymomas with high accuracy. Incorporation of this technique in diagnostic algorithms can improve diagnosis, risk stratification, and treatment planning.

Keyphrases

high grade
low grade
machine learning
deep learning
squamous cell carcinoma
magnetic resonance imaging
magnetic resonance
young adults