Impact of PET scanner non-linearity on the estimation of hypoxic fraction in cervical cancer patients.


Journal

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 29 06 2021
revised: 13 11 2021
accepted: 20 11 2021
pubmed: 12 12 2021
medline: 27 1 2022
entrez: 11 12 2021
Statut: ppublish

Résumé

Tumor hypoxia is defined as a low oxygen level in tissue and is associated with poor clinical outcome after chemo-/radiotherapy and surgery in many solid tumor types. Positron Emission Tomography (PET) imaging provides a non-invasive means of measuring local variations in the uptake of hypoxia-targeted agents (e.g. FAZA or FMISO). Accurate quantification of uptake is critically dependent on the PET scanner's linear count rate performance. In the context of cervix cancer, high PET agent accumulation in the bladder, low uptake in the tumor, and their relative proximity makes an accurate quantification of the tumor's hypoxic fraction challenging. The purpose of this study was to estimate the impact of PET scanner non-linearity on PET-based estimation of hypoxic fraction. The impact of PET scanner non-linearity effect was assessed with a NEMA body phantom, using the cylinder as the "bladder-mimicking" compartment and the water filled background as a surrogate region for the tumor. A simple model of the non-linearity effect was then applied to a set of patient-derived FAZA-PET scans (N = 38) to estimate the impact of the non-linearity on the calculated hypoxic fraction (HF) for each patient. The NEMA body phantom measurements revealed a substantial overestimate of activity outside the injected "bladder mimicking" cylinder compartment. This uptake resulted in an overestimate in activity between 1.9 and 0.3 kBq/cc corresponding to distances from 1.0 - 7.0 cm from the cylinder. In the patient-derived PET images, the bladder-to-tumor distance ranged between 1.0 and 3.0 cm. For the 38 patients analyzed, the HF was demonstrated to decrease by 1.1-75.0 % [median 27.2 %] depending on distance and relative uptake levels. Additionally, the magnitude of the effect of the non-linearity was found to depend on the pre-scanning hydration protocol employed (p = 0.0065). Hypoxia imaging of tumors of the cervix is challenging due to patient specific activity accumulation in the bladder and the non-linear response of PET scanner performance. This can result in a substantial overestimate of the calculated hypoxic fraction in cervical tumors. Additional effort needs to be invested to improve the linearity of PET scanners in anatomical regions proximal to the bladder.

Sections du résumé

BACKGROUND BACKGROUND
Tumor hypoxia is defined as a low oxygen level in tissue and is associated with poor clinical outcome after chemo-/radiotherapy and surgery in many solid tumor types. Positron Emission Tomography (PET) imaging provides a non-invasive means of measuring local variations in the uptake of hypoxia-targeted agents (e.g. FAZA or FMISO). Accurate quantification of uptake is critically dependent on the PET scanner's linear count rate performance. In the context of cervix cancer, high PET agent accumulation in the bladder, low uptake in the tumor, and their relative proximity makes an accurate quantification of the tumor's hypoxic fraction challenging. The purpose of this study was to estimate the impact of PET scanner non-linearity on PET-based estimation of hypoxic fraction.
MATERIAL AND METHODS METHODS
The impact of PET scanner non-linearity effect was assessed with a NEMA body phantom, using the cylinder as the "bladder-mimicking" compartment and the water filled background as a surrogate region for the tumor. A simple model of the non-linearity effect was then applied to a set of patient-derived FAZA-PET scans (N = 38) to estimate the impact of the non-linearity on the calculated hypoxic fraction (HF) for each patient.
RESULTS RESULTS
The NEMA body phantom measurements revealed a substantial overestimate of activity outside the injected "bladder mimicking" cylinder compartment. This uptake resulted in an overestimate in activity between 1.9 and 0.3 kBq/cc corresponding to distances from 1.0 - 7.0 cm from the cylinder. In the patient-derived PET images, the bladder-to-tumor distance ranged between 1.0 and 3.0 cm. For the 38 patients analyzed, the HF was demonstrated to decrease by 1.1-75.0 % [median 27.2 %] depending on distance and relative uptake levels. Additionally, the magnitude of the effect of the non-linearity was found to depend on the pre-scanning hydration protocol employed (p = 0.0065).
CONCLUSION CONCLUSIONS
Hypoxia imaging of tumors of the cervix is challenging due to patient specific activity accumulation in the bladder and the non-linear response of PET scanner performance. This can result in a substantial overestimate of the calculated hypoxic fraction in cervical tumors. Additional effort needs to be invested to improve the linearity of PET scanners in anatomical regions proximal to the bladder.

Identifiants

pubmed: 34894495
pii: S1120-1797(21)00345-8
doi: 10.1016/j.ejmp.2021.11.009
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-7

Informations de copyright

Copyright © 2021 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. All rights reserved.

Auteurs

Jennifer Gottwald (J)

Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Techna Institute, University Health Network, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Canada. Electronic address: jennifer.gottwald@rmp.uhn.ca.

Kathy Han (K)

Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Canada.

Michael Milosevic (M)

Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Canada.

Ivan Yeung (I)

Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Techna Institute, University Health Network, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Canada.

David A Jaffray (DA)

Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Techna Institute, University Health Network, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Canada; Department of Radiation Oncology, University of Toronto, Canada.

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Classifications MeSH