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The role of necrosis, acute hypoxia and chronic hypoxia in (18)F-FMISO PET image contrast: a computational modelling study
Positron emission tomography (PET) using (18)F-fluoromisonidazole (FMISO) is a promising technique for imaging tumour hypoxia, and a potential target for radiotherapy dose-painting. However, the relationship between FMISO uptake and oxygen partial pressure ([Formula: see text] ) is yet to be quantif...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOP Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717515/ https://www.ncbi.nlm.nih.gov/pubmed/27880734 http://dx.doi.org/10.1088/1361-6560/61/24/8596 |
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author | Warren, Daniel R Partridge, Mike |
author_facet | Warren, Daniel R Partridge, Mike |
author_sort | Warren, Daniel R |
collection | PubMed |
description | Positron emission tomography (PET) using (18)F-fluoromisonidazole (FMISO) is a promising technique for imaging tumour hypoxia, and a potential target for radiotherapy dose-painting. However, the relationship between FMISO uptake and oxygen partial pressure ([Formula: see text] ) is yet to be quantified fully. Tissue oxygenation varies over distances much smaller than clinical PET resolution (<100 μm versus ∼4 mm), and cyclic variations in tumour perfusion have been observed on timescales shorter than typical FMISO PET studies (∼20 min versus a few hours). Furthermore, tracer uptake may be decreased in voxels containing some degree of necrosis. This work develops a computational model of FMISO uptake in millimetre-scale tumour regions. Coupled partial differential equations govern the evolution of oxygen and FMISO distributions, and a dynamic vascular source map represents temporal variations in perfusion. Local FMISO binding capacity is modulated by the necrotic fraction. Outputs include spatiotemporal maps of [Formula: see text] and tracer accumulation, enabling calculation of tissue-to-blood ratios (TBRs) and time-activity curves (TACs) as a function of mean tissue oxygenation. The model is characterised using experimental data, finding half-maximal FMISO binding at local [Formula: see text] of 1.4 mmHg (95% CI: 0.3–2.6 mmHg) and half-maximal necrosis at 1.2 mmHg (0.1–4.9 mmHg). Simulations predict a non-linear non-monotonic relationship between FMISO activity (4 hr post-injection) and mean tissue [Formula: see text] : tracer uptake rises sharply from negligible levels in avascular tissue, peaking at ∼5 mmHg and declining towards blood activity in well-oxygenated conditions. Greater temporal variation in perfusion increases peak TBRs (range 2.20–5.27) as a result of smaller predicted necrotic fraction, rather than fundamental differences in FMISO accumulation under acute hypoxia. Identical late FMISO uptake can occur in regions with differing [Formula: see text] and necrotic fraction, but simulated TACs indicate that additional early-phase information may allow discrimination of hypoxic and necrotic signals. We conclude that a robust approach to FMISO interpretation (and dose-painting prescription) is likely to be based on dynamic PET analysis. |
format | Online Article Text |
id | pubmed-5717515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | IOP Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-57175152017-12-13 The role of necrosis, acute hypoxia and chronic hypoxia in (18)F-FMISO PET image contrast: a computational modelling study Warren, Daniel R Partridge, Mike Phys Med Biol Paper Positron emission tomography (PET) using (18)F-fluoromisonidazole (FMISO) is a promising technique for imaging tumour hypoxia, and a potential target for radiotherapy dose-painting. However, the relationship between FMISO uptake and oxygen partial pressure ([Formula: see text] ) is yet to be quantified fully. Tissue oxygenation varies over distances much smaller than clinical PET resolution (<100 μm versus ∼4 mm), and cyclic variations in tumour perfusion have been observed on timescales shorter than typical FMISO PET studies (∼20 min versus a few hours). Furthermore, tracer uptake may be decreased in voxels containing some degree of necrosis. This work develops a computational model of FMISO uptake in millimetre-scale tumour regions. Coupled partial differential equations govern the evolution of oxygen and FMISO distributions, and a dynamic vascular source map represents temporal variations in perfusion. Local FMISO binding capacity is modulated by the necrotic fraction. Outputs include spatiotemporal maps of [Formula: see text] and tracer accumulation, enabling calculation of tissue-to-blood ratios (TBRs) and time-activity curves (TACs) as a function of mean tissue oxygenation. The model is characterised using experimental data, finding half-maximal FMISO binding at local [Formula: see text] of 1.4 mmHg (95% CI: 0.3–2.6 mmHg) and half-maximal necrosis at 1.2 mmHg (0.1–4.9 mmHg). Simulations predict a non-linear non-monotonic relationship between FMISO activity (4 hr post-injection) and mean tissue [Formula: see text] : tracer uptake rises sharply from negligible levels in avascular tissue, peaking at ∼5 mmHg and declining towards blood activity in well-oxygenated conditions. Greater temporal variation in perfusion increases peak TBRs (range 2.20–5.27) as a result of smaller predicted necrotic fraction, rather than fundamental differences in FMISO accumulation under acute hypoxia. Identical late FMISO uptake can occur in regions with differing [Formula: see text] and necrotic fraction, but simulated TACs indicate that additional early-phase information may allow discrimination of hypoxic and necrotic signals. We conclude that a robust approach to FMISO interpretation (and dose-painting prescription) is likely to be based on dynamic PET analysis. IOP Publishing 2016-12-21 2016-11-23 /pmc/articles/PMC5717515/ /pubmed/27880734 http://dx.doi.org/10.1088/1361-6560/61/24/8596 Text en © 2016 Institute of Physics and Engineering in Medicine http://creativecommons.org/licenses/by/3.0/ Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (http://creativecommons.org/licenses/by/3.0) . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
spellingShingle | Paper Warren, Daniel R Partridge, Mike The role of necrosis, acute hypoxia and chronic hypoxia in (18)F-FMISO PET image contrast: a computational modelling study |
title | The role of necrosis, acute hypoxia and chronic hypoxia in (18)F-FMISO PET image contrast: a computational modelling study |
title_full | The role of necrosis, acute hypoxia and chronic hypoxia in (18)F-FMISO PET image contrast: a computational modelling study |
title_fullStr | The role of necrosis, acute hypoxia and chronic hypoxia in (18)F-FMISO PET image contrast: a computational modelling study |
title_full_unstemmed | The role of necrosis, acute hypoxia and chronic hypoxia in (18)F-FMISO PET image contrast: a computational modelling study |
title_short | The role of necrosis, acute hypoxia and chronic hypoxia in (18)F-FMISO PET image contrast: a computational modelling study |
title_sort | role of necrosis, acute hypoxia and chronic hypoxia in (18)f-fmiso pet image contrast: a computational modelling study |
topic | Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717515/ https://www.ncbi.nlm.nih.gov/pubmed/27880734 http://dx.doi.org/10.1088/1361-6560/61/24/8596 |
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