4D-CT Attenuation Correction in Respiratory-Gated PET for Hypoxia Imaging: Is It Really Beneficial?


Journal

Tomography (Ann Arbor, Mich.)
ISSN: 2379-139X
Titre abrégé: Tomography
Pays: Switzerland
ID NLM: 101671170

Informations de publication

Date de publication:
06 2020
Historique:
entrez: 18 6 2020
pubmed: 18 6 2020
medline: 25 6 2021
Statut: ppublish

Résumé

Previous literature has shown that 4D respiratory-gated positron emission tomography (PET) is beneficial for quantitative analysis and defining targets for boosting therapy. However the case for addition of a phase-matched 4D-computed tomography (CT) for attenuation correction (AC) is less clear. We seek to validate the use of 4D-CT for AC and investigate the impact of motion correction for low signal-to-background PET imaging of hypoxia using radiotracers such as FAZA and FMISO. A new insert for the Modus Medicals' QUASAR™ Programmable Respiratory Motion Phantom was developed in which a 3D-printed sphere was placed within the "lung" compartment while an additional compartment is added to simulate muscle/blood compartment required for hypoxia quantification. Experiments are performed at 4:1 or 2:1 signal-to-background ratio consistent with clinical FAZA and FMISO imaging. Motion blur was significant in terms of SUV

Identifiants

pubmed: 32548302
doi: 10.18383/j.tom.2019.00027
pii: TOMO.2019.00027
pmc: PMC7289254
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

241-249

Informations de copyright

© 2020 The Authors. Published by Grapho Publications, LLC.

Déclaration de conflit d'intérêts

Conflict of Interest: None reported. Disclosures: No disclosures to report.

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Auteurs

Brandon Driscoll (B)

Quantitative Imaging for Personalized Cancer Medicine Program-Techna Institute, University Health Network, Toronto, ON, Canada.

Douglass Vines (D)

Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada; and.
Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.

Tina Shek (T)

Quantitative Imaging for Personalized Cancer Medicine Program-Techna Institute, University Health Network, Toronto, ON, Canada.

Julia Publicover (J)

Quantitative Imaging for Personalized Cancer Medicine Program-Techna Institute, University Health Network, Toronto, ON, Canada.

Ivan Yeung (I)

Quantitative Imaging for Personalized Cancer Medicine Program-Techna Institute, University Health Network, Toronto, ON, Canada.
Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada; and.
Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.

Stephen Breen (S)

Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada; and.
Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.

David Jaffray (D)

Quantitative Imaging for Personalized Cancer Medicine Program-Techna Institute, University Health Network, Toronto, ON, Canada.
Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada; and.
Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.

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