ArticleEJNMMI research2013
Assessing radiotracer kinetics in the Langendorff perfused heart.
Article in EJNMMI research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Multiplexed Fiber-Optic Fluorescence for Functional Monitoring of Perfused Hearts.Analytical chemistry · 2025Article
- Detecting Validated Intracellular ROS Generation withMolecular imaging and biology · 2022Article
- Imaging of Chemotherapy-Induced Acute Cardiotoxicity withJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019Article
- Tissue acidosis does not mediate the hypoxia selectivity of [Scientific reports · 2019Article
- Detection of anthracycline-induced cardiotoxicity using perfusion-correctedScientific reports · 2019Article
- Opportunities and challenges for metal chemistry in molecular imaging: from gamma camera imaging to PET and multimodality imaging.Advances in inorganic chemistry · 2016Article
- Modification of intracellular glutathione status does not change the cardiac trapping of (64)Cu(ATSM).EJNMMI research · 2014Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe Langendorff perfused heart is a physiologically relevant and controllable model with potential for assessing the pharmacokinetics of new radiotracers under a range of pathophysiological conditions.. We assess the feasibility of extending the methods validated for in vivo PET data analysis to the characterisation of PET tracer kinetics applied to Langendorff perfused hearts.
methodsMonte Carlo simulations were used to study the accuracy and reproducibility of linear and non-linear spectral analysis (SA/NLSA), the Patlak graphical method and normalised tissue activity (NA). The methods were used to analyse time-activity curves of two widely used PET tracers, [18 F]-FDG and [18 F]-FMISO, acquired ex vivo from Langendorff perfused rat hearts under normoxic and hypoxic conditions.
resultsMonte Carlo simulations showed NLSA to be superior to SA in identifying and quantifying the presence of irreversible trapping component (αo), for low values of αo. The performance of NLSA and SA for high values of trapping was comparable. NLSA was also more precise than SA in determining the absence of trapping over the range of simulated kinetics and SNR. Simulations also suggest that the semi-quantitative method NA is adequate for the evaluation of trapping, and it was found to be more accurate than Patlak. The values of α0 estimated with NLSA from the time series of both [18 F]-FDG and [18 F]-FMISO increased significantly from normoxia to hypoxia in agreement with previous studies. The values of trapping derived using SA increased but not significantly, reflecting the larger error associate with this method. Patlak estimated from the experimental datasets increased from normoxia to hypoxia but was not significant. NA estimated from the [18 F]-FDG data increased from normoxia to hypoxia, but was not significant, whilst NA calculated for [18 F]-FMISO time-activity curves increased significantly.
conclusionsMonte Carlo simulations suggested that spectral-based quantitative analysis methods are adequate for the kinetic characterisation of time-activity curves acquired ex vivo from perfused hearts. The uptake rate Patlak and the index NA also represent a good alternative to the SA and NLSA algorithms when the aim of the kinetic analysis is to measure changes in the amount of tracer trapped in the irreversible compartment in response to external stimuli. For low levels of trapping, NLSA and NA were subject to lower errors than SA and Patlak, respectively.
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