Automatic detection and delineation of pediatric gliomas on combined [¹⁸F]FET PET and MRI.

ABSTRACT:

Introduction

Brain and central nervous system (CNS) tumors are the second most common cancer type in children and adolescents. Positron emission tomography (PET) imaging with radiolabeled amino acids visualizes the amino acid uptake in brain tumor cells compared with the healthy brain tissue, which provides additional information over magnetic resonance imaging (MRI) for differential diagnosis, treatment planning, and the differentiation of tumor relapse from treatment-related changes. However, tumor delineation is a time-consuming task subject to inter-rater variability. We propose a deep learning method for the automatic delineation of O-(2-[¹⁸F]fluoroethyl)-l-tyrosine ([¹⁸F]FET PET) pediatric CNS tumors.

Methods

A total of 109 [¹⁸F]FET PET

SUBMITTER: Ladefoged CN 

PROVIDER: S-EPMC11440972 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature