Automated Brain Tumor Detection and Segmentation for Treatment Response Assessment Using Amino Acid PET.


Journal

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
ISSN: 1535-5667
Titre abrégé: J Nucl Med
Pays: United States
ID NLM: 0217410

Informations de publication

Date de publication:
10 2023
Historique:
received: 14 03 2023
revised: 31 05 2023
medline: 5 10 2023
pubmed: 11 8 2023
entrez: 10 8 2023
Statut: ppublish

Résumé

Evaluation of metabolic tumor volume (MTV) changes using amino acid PET has become an important tool for response assessment in brain tumor patients. MTV is usually determined by manual or semiautomatic delineation, which is laborious and may be prone to intra- and interobserver variability. The goal of our study was to develop a method for automated MTV segmentation and to evaluate its performance for response assessment in patients with gliomas.

Identifiants

pubmed: 37562802
pii: jnumed.123.265725
doi: 10.2967/jnumed.123.265725
doi:

Substances chimiques

Amino Acids 0
Radiopharmaceuticals 0
Tyrosine 42HK56048U

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1594-1602

Informations de copyright

© 2023 by the Society of Nuclear Medicine and Molecular Imaging.

Auteurs

Robin Gutsche (R)

Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany.
RWTH Aachen University, Aachen, Germany.

Carsten Lowis (C)

Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany.

Karl Ziemons (K)

Medical Engineering and Technomathematics, FH Aachen University of Applied Sciences, Juelich, Germany.

Martin Kocher (M)

Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany.
Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Garry Ceccon (G)

Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Cláudia Régio Brambilla (C)

Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany.
JARA-BRAIN-Translational Medicine, Aachen, Germany.

Nadim J Shah (NJ)

Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany.
JARA-BRAIN-Translational Medicine, Aachen, Germany.
Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany.

Karl-Josef Langen (KJ)

Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany.
Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany.
Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany.

Norbert Galldiks (N)

Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany.
Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany.

Fabian Isensee (F)

Applied Computer Vision Lab, Helmholtz Imaging, Heidelberg, Germany; and.
Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.

Philipp Lohmann (P)

Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany; p.lohmann@fz-juelich.de.

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Classifications MeSH