Chapter 16
Tracer Kinetics in Radionanomedicine
Jae Sung Lee, Seongho Seo and Dong Soo Lee
Abstract Quantification of the amount of radiolabeled nanomaterials distributed in
the animal and human body is important for understanding their in vivo properties
(e.g., target delivery, radiolabeling stability, and excretion pathway) and determining future applications. Tracer kinetic analyses could play a vital role in the
success of radionanomedicine as it facilitates the development of clinically relevant
nanomaterials by providing the pharmacokinetic information. In this chapter, we
describe the methodology used in the tracer kinetic analysis of dynamic positron
emission tomography (PET) and single photon emission computed tomography
(SPECT), starting from how to record the time profiles of tracer concentration in the
blood and tissues, two sources of data required for a tracer kinetic model.
Compartment models commonly used in PET and SPECT tracer kinetic analysis
and their operational equations for fitting the tissue time-activity curves will be
introduced. Then, several robust parameter estimation methods will be described.
Finally, we will introduce a few examples of the tracer kinetic analysis in
radio-nanomaterial studies.
J. S. Lee (&) Á D. S. Lee
Department of Nuclear Medicine, Seoul National University
College of Medicine, Seoul, Republic of Korea
e-mail: jaes@snu.ac.kr
D. S. Lee
e-mail: dsl@snu.ac.kr
J. S. Lee
Department of Biomedical Sciences, Seoul National University
College of Medicine, Seoul, Republic of Korea
S. Seo
Department of Neuroscience, College of Medicine, Gachon University,
Incheon, Republic of Korea
e-mail: dansoc@snu.ac.kr
D. S. Lee
Department of Molecular Medicine and Biopharmaceutical Sciences,
Graduate School of Convergence Science and Technology,
Seoul National University, Seoul, Republic of Korea
© Springer International Publishing AG, part of Springer Nature 2018
D. S. Lee (ed.), Radionanomedicine, Biological and Medical Physics,
Biomedical Engineering, https://doi.org/10.1007/978-3-319-67720-0_16
293
Tracer Kinetics in Radionanomedicine
Jae Sung Lee, Seongho Seo and Dong Soo Lee
Abstract Quantification of the amount of radiolabeled nanomaterials distributed in
the animal and human body is important for understanding their in vivo properties
(e.g., target delivery, radiolabeling stability, and excretion pathway) and determining future applications. Tracer kinetic analyses could play a vital role in the
success of radionanomedicine as it facilitates the development of clinically relevant
nanomaterials by providing the pharmacokinetic information. In this chapter, we
describe the methodology used in the tracer kinetic analysis of dynamic positron
emission tomography (PET) and single photon emission computed tomography
(SPECT), starting from how to record the time profiles of tracer concentration in the
blood and tissues, two sources of data required for a tracer kinetic model.
Compartment models commonly used in PET and SPECT tracer kinetic analysis
and their operational equations for fitting the tissue time-activity curves will be
introduced. Then, several robust parameter estimation methods will be described.
Finally, we will introduce a few examples of the tracer kinetic analysis in
radio-nanomaterial studies.
J. S. Lee (&) Á D. S. Lee
Department of Nuclear Medicine, Seoul National University
College of Medicine, Seoul, Republic of Korea
e-mail: jaes@snu.ac.kr
D. S. Lee
e-mail: dsl@snu.ac.kr
J. S. Lee
Department of Biomedical Sciences, Seoul National University
College of Medicine, Seoul, Republic of Korea
S. Seo
Department of Neuroscience, College of Medicine, Gachon University,
Incheon, Republic of Korea
e-mail: dansoc@snu.ac.kr
D. S. Lee
Department of Molecular Medicine and Biopharmaceutical Sciences,
Graduate School of Convergence Science and Technology,
Seoul National University, Seoul, Republic of Korea
© Springer International Publishing AG, part of Springer Nature 2018
D. S. Lee (ed.), Radionanomedicine, Biological and Medical Physics,
Biomedical Engineering, https://doi.org/10.1007/978-3-319-67720-0_16
293