Abstract
Dynamic Positron Emission Tomography (PET) allows quantification of underlying physiological processes in a tissue or organ of interest by modeling the radioactivity concentration measured in time (time-activity curve, i.e. TAC). Although the [11C]-(R)-PK11195 PET radiotracer binds to activated microglia and therefore images neuroinflammation, its quantification is still challenging. The aim of this study was to investigate a novel method for analyzing [11C]-(R)-PK11195 TAC behavior from dynamic PET. Seven healthy subjects underwent dynamic 60 min [11C]-(R)-PK11195 PET scans, and TACs were generated for 30 brain cortical regions using the AAL-Merged atlas. The proposed method supposes healthy subjects have similar TACs, which allows the construction of a “healthy template”. Then, TACs of patients can be compared to the healthy template to determine the likelihood that their behavior is abnormal. To evaluate the differences between a healthy region and an inflamed region, a cut-off value for abnormality was created. The method was then tested on a multiple sclerosis (MS) patient. The proposed method was able to identify a number of brain cortical regions with distinct behavior in one MS patient as compared to the healthy template. Further studies are required to evaluate the applicability of the proposed method with additional MS patients, and with data acquired in different scanners and reconstructed with other algorithms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Peterson PK and Toborek M. Neuroinflammation and Neurodegeneration. New York, NY: Springer New York (2014).
Winkeler A, Boisgard R, Martin A, et al. Radioisotopic Imaging of Neuroinflammation. J Nucl Med, 51(1):1–4 (2010).
Ma L, Zhang H, Liu N, et al. TSPO ligand PK11195 alleviates neuroinflammation and beta-amyloid generation induced by systemic LPS administration. Brain Res Bull, 121:192–200 (2016).
Banati RB, Newcombe J, Gunn RN et al. The peripheral benzodiazepine binding site in the brain in multiple sclerosis Quantitative in vivo imaging of microglia as a measure of disease activity, Brain,123: 2321–2337 (2000).
Narciso LDL, Schuck PN, Dartora CM, et al., Semiquantification Study of [11C](R)PK11195 PET Brain Images in Multiple Sclerosis, Rev Bras Fís Méd, 10(2):39–43 (2016).
Giannetti P, Politis M, Su P et al. Microglia activation in multiple sclerosis black holes predicts outcome in progressive patients: An in vivo [11C](R)-PK11195-PET pilot study. Neurobiol Dis, 65: 203–210 (2014).
Yokokura M, Terada, T, Bunai, T. and et al. Depiction of microglial activation in aging and dementia: Positron emission tomography with [11C]DPA713 versus [11C](R)PK11195, J Cereb Blood Flow Metab 37(3):877–889 (2017).
Kopschina Feltes P, de Vries EF, Juarez-Orozco LE, et. al. Repeated social defeat induces transient glial activation and brain hypometabolism: A positron emission tomography imaging study. J Cereb Blood Flow Metab(2017).
Hinz, R., Boellaard, R. Challenges of quantification of TSPO in the human brain. Clin Transl Imaging, 3(5):403–16 (2015).
Kreisl, W.C., Fujita, M., Fujimura, et al. Comparison of [11C]-(R)-PK 11195 and [11C]PBR28, two radioligands for translocator protein (18 kDa) in human and monkey: Implications for positron emission tomographic imaging of this inflammation biomarker, Neuroimage, 49(4):2924–2932 (2010).
Shiiba, T., Nishii, R., Sasaki, M., et al. Assessment of the efficacy of early phase parameters by 123I-MIBG dynamic imaging for distinguishing Lewy body-related diseases from Parkinson’s syndrome. Ann Nucl Med, 29(2):149–156(2014).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
Conflicts of Interest
The authors declare that they have no conflict of interest.
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Salvi de Souza, G., Marques da Silva, A.M. (2019). Investigation of Time-Activity Curve Behavior in Dynamic [11C]-(R)-PK11195 PET in Cortical Brain Regions: Preliminary Results. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/3. Springer, Singapore. https://doi.org/10.1007/978-981-10-9023-3_127
Download citation
DOI: https://doi.org/10.1007/978-981-10-9023-3_127
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-9022-6
Online ISBN: 978-981-10-9023-3
eBook Packages: EngineeringEngineering (R0)