The role of necrosis, acute hypoxia and chronic hypoxia in 18F-FMISO PET image contrast: a computational modelling study. (23rd November 2016)
- Record Type:
- Journal Article
- Title:
- The role of necrosis, acute hypoxia and chronic hypoxia in 18F-FMISO PET image contrast: a computational modelling study. (23rd November 2016)
- Main Title:
- The role of necrosis, acute hypoxia and chronic hypoxia in 18F-FMISO PET image contrast: a computational modelling study
- Authors:
- Warren, Daniel R
Partridge, Mike - Abstract:
- Abstract: 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 ( P O 2 ) is yet to be quantified fully. Tissue oxygenation varies over distances much smaller than clinical PET resolution (<100 μ m 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 P O 2 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 P O 2 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 P OAbstract: 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 ( P O 2 ) is yet to be quantified fully. Tissue oxygenation varies over distances much smaller than clinical PET resolution (<100 μ m 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 P O 2 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 P O 2 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 P O 2 : 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 P O 2 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. … (more)
- Is Part Of:
- Physics in medicine & biology. Volume 61:Number 24(2016:Dec.)
- Journal:
- Physics in medicine & biology
- Issue:
- Volume 61:Number 24(2016:Dec.)
- Issue Display:
- Volume 61, Issue 24 (2016)
- Year:
- 2016
- Volume:
- 61
- Issue:
- 24
- Issue Sort Value:
- 2016-0061-0024-0000
- Page Start:
- 8596
- Page End:
- 8624
- Publication Date:
- 2016-11-23
- Subjects:
- PET -- FMISO -- hypoxia -- computational model
Biophysics -- Periodicals
Medical physics -- Periodicals
610.153 - Journal URLs:
- http://ioppublishing.org/ ↗
http://iopscience.iop.org/0031-9155 ↗ - DOI:
- 10.1088/1361-6560/61/24/8596 ↗
- Languages:
- English
- ISSNs:
- 0031-9155
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 11284.xml