Pilot Study: Texture Analysis of PET Imaging Demonstrates Changes in


Journal

Journal of nuclear medicine technology
ISSN: 1535-5675
Titre abrégé: J Nucl Med Technol
Pays: United States
ID NLM: 0430303

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 28 04 2020
accepted: 07 08 2020
pubmed: 7 10 2020
medline: 26 11 2021
entrez: 6 10 2020
Statut: ppublish

Résumé

Prophylactic cranial irradiation (PCI) is used to decrease the probability of developing brain metastases in patients with small cell lung cancer and has been linked to deleterious cognitive effects. Although no well-established imaging markers for these effects exist, previous studies have shown that structural and metabolic changes in the brain can be detected with MRI and PET. This study used an image processing technique called texture analysis to explore whether global changes in brain glucose metabolism could be characterized in PET images.

Identifiants

pubmed: 33020232
pii: jnmt.120.248393
doi: 10.2967/jnmt.120.248393
doi:

Substances chimiques

Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

34-38

Informations de copyright

© 2021 by the Society of Nuclear Medicine and Molecular Imaging.

Auteurs

David M Sawyer (DM)

Department of Medical Imaging, University of Arizona, Tucson, Arizona dsawyer@radiology.arizona.edu.

Travis W Sawyer (TW)

College of Optical Sciences, University of Arizona, Tucson, Arizona dsawyer@radiology.arizona.edu.

Naghmehossadat Eshghi (N)

Department of Medical Imaging, University of Arizona, Tucson, Arizona.

Charles Hsu (C)

Department of Radiation Oncology, University of Arizona, Tucson, Arizona.

Russell J Hamilton (RJ)

Department of Radiation Oncology, University of Arizona, Tucson, Arizona.

Linda L Garland (LL)

Department of Medicine, University of Arizona; University of Arizona Cancer Center, Tucson, Arizona; and.

Phillip H Kuo (PH)

Department of Medical Imaging, University of Arizona, Tucson, Arizona.
Department of Medicine, University of Arizona; University of Arizona Cancer Center, Tucson, Arizona; and.
Department of Biomedical Engineering, University of Arizona, Tucson, Arizona.

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Classifications MeSH