Abstract
Kinetic analysis of dynamic PET imaging enables the estimation of biologic processes relevant to disease. Through mathematic analysis of the interactions of a radiotracer with tissue, information can be gleaned from PET imaging beyond static uptake measures. Part I of this 2-part continuing education paper reviewed the underlying principles and methodology of kinetic modeling. In this second part, the benefits of kinetic modeling for oncologic imaging are illustrated through representative case examples that demonstrate the principles and benefits of kinetic analysis in oncology. Examples of the model types discussed in part I are reviewed here: a 1-tissue-compartment model (15O-water), an irreversible 2-tissue-compartment model (18F-FDG), and a reversible 2-tissue-compartment model (39-deoxy-39-18F-fluorothymidine). Kinetic approaches are contrasted with static uptake measures typically used in the clinic. Overall, this 2-part review provides the reader with background in kinetic analysis to understand related research and improve the interpretation of clinical nuclear medicine studies with a focus on oncologic imaging.
Author supplied keywords
Cite
CITATION STYLE
Pantel, A. R., Viswanath, V., Muzi, M., Doot, R. K., & Mankoff, D. A. (2022). Principles of Tracer Kinetic Analysis in Oncology, Part II: Examples and Future Directions. Journal of Nuclear Medicine, 63(4), 514–521. https://doi.org/10.2967/jnumed.121.263519
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.