Automated quantification of baseline imaging PET metrics on FDG PET/CT images of pediatric Hodgkin lymphoma patients

Automated quantification of baseline imaging PET metrics on FDG PET/CT images of pediatric Hodgkin lymphoma patients

Abstract Purpose For pediatric lymphoma, quantitative FDG PET/CT imaging features such as metabolic tumor volume (MTV) are important for prognosis and risk stratification strategies. However, feature extraction is difficult and time-consuming in cases of high disease burden. The purpose of this stud...

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Bibliographic Details
Main Authors: Amy J. Weisman, Jihyun Kim, Inki Lee, Kathleen M. McCarten, Sandy Kessel, Cindy L. Schwartz, Kara M. Kelly, Robert Jeraj, Steve Y. Cho, Tyler J. Bradshaw
Format: Article
Language:English
Published: SpringerOpen 2020-12-01
Series:EJNMMI Physics
Subjects:
Pediatric lymphoma
Convolutional neural networks
Imaging biomarkers
PET
Online Access:https://doi.org/10.1186/s40658-020-00346-3

Internet

https://doi.org/10.1186/s40658-020-00346-3

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