Abstract
Objectives
We aimed to develop a dynamic imaging technique for a novel PET superoxide tracer, [18F]DHMT, to allow for absolute quantification of myocardial reactive oxygen species (ROS) production in a large animal model.
Methods
Six beagle dogs underwent a single baseline dynamic [18F]DHMT PET study, whereas one animal underwent three serial dynamic studies over the course of chronic doxorubicin administration (1 mg·kg−1·week−1 for 15 weeks). During the scans, sequential arterial blood samples were obtained for plasma metabolite correction. The optimal compartment model and graphical analysis method were identified for kinetic modeling. Values for the left ventricular (LV) net influx rate, Ki, were reported for all the studies and compared with the LV standard uptake values (SUVs) and the LV-to-blood pool SUV ratios from the 60 to 90 minute static images. Parametric images were also generated.
Results
[18F]DHMT followed irreversible kinetics once oxidized within the myocardium in the presence of superoxide, as evidenced by the fitting generated by the irreversible two-tissue (2Ti) compartment model and the linearity of Patlak analysis. Myocardial Ki values showed a weak correlation with LV SUV (R2 = 0.27), but a strong correlation with LV-to-blood pool SUV ratio (R2 = 0.92). Generation of high-quality parametric images showed superior myocardial to blood contrast compared to static images.
Conclusions
A dynamic PET imaging technique for [18F]DHMT was developed with full and simplified kinetic modeling for absolute quantification of myocardial superoxide production in a large animal model.
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Abbreviations
- ROS:
-
Reactive oxygen species
- [18F]DHMT:
-
[18F]-6-(4-((1-(2-fluoroethyl)-1H-1,2,3-triazol-4-yl)methoxy)phenyl)-5-methyl-5, 6-dihydrophenanthridine-3, 8-diamine
- VOI:
-
Volume of interest
- TAC:
-
Time activity curve
- SUV:
-
Standard uptake value
- 2Ti:
-
Two-tissue irreversible
- DOX:
-
Doxorubicin
- LVEF:
-
Left ventricular ejection fraction
- K i :
-
Net influx rate
- AIC:
-
Akaike information criterion
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Acknowledgments
We would like to thank Dr. Eva Romito, Tsa Shelton and Christi Hawley for their participation and support of the animal studies.
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The authors declare that they have no conflict of interest.
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Funding
This work is supported by an internal funding from the Department of Radiology and Biomedical Imaging at Yale University, and the NIH grants R01HL123949 and T32HL098069.
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Wu, J., Boutagy, N.E., Cai, Z. et al. Feasibility study of PET dynamic imaging of [18F]DHMT for quantification of reactive oxygen species in the myocardium of large animals. J. Nucl. Cardiol. 29, 216–225 (2022). https://doi.org/10.1007/s12350-020-02184-3
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DOI: https://doi.org/10.1007/s12350-020-02184-3