ArticleEuropean journal of nuclear medicine and molecular imaging2013
Pharmacokinetic analysis of [18F]FAZA in non-small cell lung cancer patients.
Article in European journal of nuclear medicine and molecular imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 33 citations in OpenAlex.
- Repeatability of hypoxia PET imaging using [¹⁸F]HX4 in lung and head and neck cancer patients: a prospective multicenter trial.European journal of nuclear medicine and molecular imaging · 2015Trial
- Kinetic Evaluation of the Hypoxia Radiotracers [Nuclear medicine and molecular imaging · 2023Article
- [Molecular imaging and biology · 2020Article
- Plasma radio-metabolite analysis of PET tracers for dynamic PET imaging: TLC and autoradiography.EJNMMI research · 2020Article
- 2-Nitroimidazole-Furanoside Derivatives for Hypoxia Imaging-Investigation of Nucleoside Transporter Interaction,Pharmaceuticals (Basel, Switzerland) · 2019Article
- [EJNMMI research · 2017Article
- Pharmacokinetic modeling of a novel hypoxia PET tracer [EJNMMI physics · 2016Article
- 18F-Fluoromisonidazole Quantification of Hypoxia in Human Cancer Patients Using Image-Derived Blood Surrogate Tissue Reference Regions.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2015Article
- Functional imaging for radiotherapy treatment planning: current status and future directions-a review.The British journal of radiology · 2015Review
- Positron emission tomography to assess hypoxia and perfusion in lung cancer.World journal of clinical oncology · 2014Review
- Detecting functional changes with [(18)F]FAZA in a renal cell carcinoma mouse model following sunitinib therapy.EJNMMI research · 2014Article
- Role of [¹⁸F]FDG PET in prediction of KRAS and EGFR mutation status in patients with advanced non-small-cell lung cancer.European journal of nuclear medicine and molecular imaging · 2014Article
- Kinetic modeling in PET imaging of hypoxia.American journal of nuclear medicine and molecular imaging · 2014Review
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Authors and funding
10 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
purpose[(18)F]Fluoroazomycin arabinoside (FAZA) is a positron emission tomography (PET) tracer developed to enable identification of hypoxic regions within a tumour. The aims of this study were to determine the optimal kinetic model along with validation of using alternatives to arterial blood sampling for analysing [(18)F]FAZA studies and to assess the validity of simplified analytical methods.
methodsDynamic 70-min [(18)F]FAZA PET/CT scans were obtained from nine non-small cell lung cancer patients. Continuous arterial blood sampling, together with manual arterial and venous sampling, was performed to derive metabolite-corrected plasma input functions. Volumes of interest (VOIs) were defined for tumour, healthy lung muscle and adipose tissue generating [(18)F]FAZA time-activity curves (TACs). TACs were analysed using one- and two-tissue compartment models using both metabolite-corrected blood sampler plasma input functions (BSIF) and image-derived plasma input functions (IDIF).
resultsThe reversible two-tissue compartment model with blood volume parameter (2T4k+VB) best described kinetics of [(18)F]FAZA in tumours. Volumes of distribution (VT) obtained using IDIF correlated well with those derived using BSIF (R(2) = 0.82). Venous samples yielded the same radioactivity concentrations as arterial samples for times >50 min post-injection (p.i.). In addition, both plasma to whole blood ratios and parent fractions were essentially the same for venous and arterial samples. Both standardised uptake value (SUV), normalised to lean body mass, and tumour to blood ratio correlated well with VT (R(2) = 0.77 and R(2) = 0.87, respectively, at 50-60 min p.i.), although a bias was observed at low VT.
conclusionThe 2T4k+VB model provided the best fit to the dynamic [(18)F]FAZA data. IDIF with venous blood samples can be used as input function. Further data are needed to validate the use of simplified methods.
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