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Redefining Dynamic PET to Improve Clinical Feasibility

Liu, Xiaoli
http://rave.ohiolink.edu/etdc/view?acc_num=osu1479832286719247

Abstract Details

2016, Doctor of Philosophy, Ohio State University, Biophysics.
Dynamic Positron Emission Tomography (PET) has been increasingly demonstrated as a powerful tool to kinetically evaluate tumor physiology for cancer diagnosis and treatment response assessment. By offering differential kinetic information of radiotracers to interpret the dynamic processes of tracer uptake and retention in the target tumors, dynamic PET can characterize the tumors more accurately than the static PET imaging. However, the long scanning time, the strict data acquisition procedure as well as the complicated kinetic data analysis process required for a dynamic PET scan have brought challenges to its application in clinical routine. Solutions need to be explored to improve the feasibility of dynamic PET imaging in clinical oncology. In this dissertation, a detailed investigation of shortening dynamic PET acquisition duration has been completed. By comparing the kinetics results of the acquisition with full-time and that with several shortened acquisition durations, a feasible shortened acquisition duration for dynamic PET imaging was revealed. It was found that a 16min acquisition was long enough to provide accurate PET tracer kinetics. A simpler and faster kinetic modeling method named Patlak plot analysis was also compared to the widely used traditional 2-tissue compartment model (2TCM). It was discovered that Patlak plot analysis method could substitute for 2TCM to accurately quantify the tracer net influx rate Ki with shortened acquisitions. When involving time-of-flight (TOF) information into dynamic PET reconstruction, the feasibility of 16min-long acquisition duration was further confirmed with accurate Ki calculation and a high correlation to whole body maximum standardized uptake values (SUVmax). However, the addition of TOF resulted in variation in Ki quantification compared to the acquisition without it. Suggestions were therefore made that careful consideration should be given when assessing differently acquired and reconstructed dynamic PET data sets for kinetics quantification. When comparing the kinetic parameters calculated from the data strictly acquired immediately post dose injection and those acquired from the delayed acquisitions, 6-10min injection-to-acquisition delay was found to be acceptable for accurate Ki quantification, even with equivalent acquisition duration between the acquisition start and end as short as 8min. These results demonstrated the feasibility of dynamic PET imaging with shortened scanning durations and delayed acquisition post dose injection, making it more compatible to the fast-paced and continuously changing clinical environment. Considering the increasing concern of additional radiation exposure induced by PET imaging, re-evaluation of the PET radiopharmaceutical dose required for robust dynamic PET imaging was also performed. Simulations of low-dose dynamic PET images indicated that 50% dose reduction in dynamic PET can be readily achieved without negative impacts on image quality or quantification, when reconstruction was modified to use 13 subsets. A further dose reduction by as much as 75% was revealed to be feasible when a next generation digital PET/CT system was applied. Therefore, with a fixed dynamic PET acquisition duration, a significant decrease in the standard amount of administered radioactivity can be implemented in dynamic PET imaging.
Michael Knopp (Advisor)
173 p.
Biophysics
Dynamic PET; kinetic modeling; digital PET; shortened acquisition; low-dose PET

Recommended Citations

Citations

  • Liu, X. (2016). Redefining Dynamic PET to Improve Clinical Feasibility [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1479832286719247

    APA Style (7th edition)

  • Liu, Xiaoli. Redefining Dynamic PET to Improve Clinical Feasibility. 2016. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1479832286719247.

    MLA Style (8th edition)

  • Liu, Xiaoli. "Redefining Dynamic PET to Improve Clinical Feasibility." Doctoral dissertation, Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1479832286719247

    Chicago Manual of Style (17th edition)

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This open access ETD is published by The Ohio State University and OhioLINK.