Publication

Optimization of the k(2)' Parameter Estimation for the Pharmacokinetic Modeling of Dynamic PIB PET Scans Using SRTM2

Peretti, D., Reesink, F., Doorduin, J., de Jong, B. M., De Deyn, P., Dierckx, R., Boellaard, R. & Vállez García, D., 12-Dec-2019, In : Frontiers of Physics. 7, 11 p., 212.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Peretti, D., Reesink, F., Doorduin, J., de Jong, B. M., De Deyn, P., Dierckx, R., ... Vállez García, D. (2019). Optimization of the k(2)' Parameter Estimation for the Pharmacokinetic Modeling of Dynamic PIB PET Scans Using SRTM2. Frontiers of Physics, 7, [212]. https://doi.org/10.3389/fphy.2019.00212

Author

Peretti, Débora ; Reesink, Fransje ; Doorduin, Janine ; de Jong, Bauke M. ; De Deyn, Peter ; Dierckx, Rudi ; Boellaard, Ronald ; Vállez García, David. / Optimization of the k(2)' Parameter Estimation for the Pharmacokinetic Modeling of Dynamic PIB PET Scans Using SRTM2. In: Frontiers of Physics. 2019 ; Vol. 7.

Harvard

Peretti, D, Reesink, F, Doorduin, J, de Jong, BM, De Deyn, P, Dierckx, R, Boellaard, R & Vállez García, D 2019, 'Optimization of the k(2)' Parameter Estimation for the Pharmacokinetic Modeling of Dynamic PIB PET Scans Using SRTM2', Frontiers of Physics, vol. 7, 212. https://doi.org/10.3389/fphy.2019.00212

Standard

Optimization of the k(2)' Parameter Estimation for the Pharmacokinetic Modeling of Dynamic PIB PET Scans Using SRTM2. / Peretti, Débora; Reesink, Fransje; Doorduin, Janine; de Jong, Bauke M.; De Deyn, Peter; Dierckx, Rudi; Boellaard, Ronald; Vállez García, David.

In: Frontiers of Physics, Vol. 7, 212, 12.12.2019.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Peretti D, Reesink F, Doorduin J, de Jong BM, De Deyn P, Dierckx R et al. Optimization of the k(2)' Parameter Estimation for the Pharmacokinetic Modeling of Dynamic PIB PET Scans Using SRTM2. Frontiers of Physics. 2019 Dec 12;7. 212. https://doi.org/10.3389/fphy.2019.00212


BibTeX

@article{9665475822b540dca269ca1d2684a84a,
title = "Optimization of the k(2)' Parameter Estimation for the Pharmacokinetic Modeling of Dynamic PIB PET Scans Using SRTM2",
abstract = "Background: This study explores different approaches to estimate the clearance rate of the reference tissue (k2 ') parameter used for pharmacokinetic modeling, using the simplified reference tissue model 2 (SRMT2) and further explores the effect on the binding potential (BPND) of C-11-labeled Pittsburgh Compound B (PIB) PET scans. Methods: Thirty subjects underwent a dynamic PIB PET scan and were classified as PIB positive (+) or negative (-). Thirteen regions were defined from where to estimate k2 ': the whole brain, eight anatomical region based on the Hammer's atlas, one region based on a SPM comparison between groups on a voxel level, and three regions using different BPNDSRTM thresholds. Results: The different approaches resulted in distinct k2 ' estimations per subject. The median value of the estimated k2 ' across all subjects in the whole brain was 0.057. In general, PIB+ subjects presented smaller k2 ' estimates than this median, and PIB-, larger. Furthermore, only threshold and white matter methods resulted in non-significant differences between groups. Moreover, threshold approaches yielded the best correlation between BPNDSRTM and BPNDSRTM2 for both groups (R-2 = 0.85 for PIB+, and R-2 = 0.88 for PIB-). Lastly, a sensitivity analysis showed that overestimating k2 ' values resulted in less biased BPNDSRTM2 estimates. Conclusion: Setting a threshold on BPNDSRTM might be the best method to estimate k2 ' in voxel-based modeling approaches, while the use of a white matter region might be a better option for a volume of interest based analysis.",
keywords = "Alzheimer's disease, pharmacokinetic modeling, Pittsburgh compound B, SRTM, SRTM2, REFERENCE TISSUE MODEL, ALZHEIMERS-DISEASE, SENILE PLAQUES, HUMAN BRAIN, DIAGNOSIS, BINDING, CEREBELLUM, DEMENTIA",
author = "D{\'e}bora Peretti and Fransje Reesink and Janine Doorduin and {de Jong}, {Bauke M.} and {De Deyn}, Peter and Rudi Dierckx and Ronald Boellaard and {V{\'a}llez Garc{\'i}a}, David",
year = "2019",
month = "12",
day = "12",
doi = "10.3389/fphy.2019.00212",
language = "English",
volume = "7",
journal = "Frontiers of Physics",
issn = "2095-0462",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - Optimization of the k(2)' Parameter Estimation for the Pharmacokinetic Modeling of Dynamic PIB PET Scans Using SRTM2

AU - Peretti, Débora

AU - Reesink, Fransje

AU - Doorduin, Janine

AU - de Jong, Bauke M.

AU - De Deyn, Peter

AU - Dierckx, Rudi

AU - Boellaard, Ronald

AU - Vállez García, David

PY - 2019/12/12

Y1 - 2019/12/12

N2 - Background: This study explores different approaches to estimate the clearance rate of the reference tissue (k2 ') parameter used for pharmacokinetic modeling, using the simplified reference tissue model 2 (SRMT2) and further explores the effect on the binding potential (BPND) of C-11-labeled Pittsburgh Compound B (PIB) PET scans. Methods: Thirty subjects underwent a dynamic PIB PET scan and were classified as PIB positive (+) or negative (-). Thirteen regions were defined from where to estimate k2 ': the whole brain, eight anatomical region based on the Hammer's atlas, one region based on a SPM comparison between groups on a voxel level, and three regions using different BPNDSRTM thresholds. Results: The different approaches resulted in distinct k2 ' estimations per subject. The median value of the estimated k2 ' across all subjects in the whole brain was 0.057. In general, PIB+ subjects presented smaller k2 ' estimates than this median, and PIB-, larger. Furthermore, only threshold and white matter methods resulted in non-significant differences between groups. Moreover, threshold approaches yielded the best correlation between BPNDSRTM and BPNDSRTM2 for both groups (R-2 = 0.85 for PIB+, and R-2 = 0.88 for PIB-). Lastly, a sensitivity analysis showed that overestimating k2 ' values resulted in less biased BPNDSRTM2 estimates. Conclusion: Setting a threshold on BPNDSRTM might be the best method to estimate k2 ' in voxel-based modeling approaches, while the use of a white matter region might be a better option for a volume of interest based analysis.

AB - Background: This study explores different approaches to estimate the clearance rate of the reference tissue (k2 ') parameter used for pharmacokinetic modeling, using the simplified reference tissue model 2 (SRMT2) and further explores the effect on the binding potential (BPND) of C-11-labeled Pittsburgh Compound B (PIB) PET scans. Methods: Thirty subjects underwent a dynamic PIB PET scan and were classified as PIB positive (+) or negative (-). Thirteen regions were defined from where to estimate k2 ': the whole brain, eight anatomical region based on the Hammer's atlas, one region based on a SPM comparison between groups on a voxel level, and three regions using different BPNDSRTM thresholds. Results: The different approaches resulted in distinct k2 ' estimations per subject. The median value of the estimated k2 ' across all subjects in the whole brain was 0.057. In general, PIB+ subjects presented smaller k2 ' estimates than this median, and PIB-, larger. Furthermore, only threshold and white matter methods resulted in non-significant differences between groups. Moreover, threshold approaches yielded the best correlation between BPNDSRTM and BPNDSRTM2 for both groups (R-2 = 0.85 for PIB+, and R-2 = 0.88 for PIB-). Lastly, a sensitivity analysis showed that overestimating k2 ' values resulted in less biased BPNDSRTM2 estimates. Conclusion: Setting a threshold on BPNDSRTM might be the best method to estimate k2 ' in voxel-based modeling approaches, while the use of a white matter region might be a better option for a volume of interest based analysis.

KW - Alzheimer's disease

KW - pharmacokinetic modeling

KW - Pittsburgh compound B

KW - SRTM

KW - SRTM2

KW - REFERENCE TISSUE MODEL

KW - ALZHEIMERS-DISEASE

KW - SENILE PLAQUES

KW - HUMAN BRAIN

KW - DIAGNOSIS

KW - BINDING

KW - CEREBELLUM

KW - DEMENTIA

U2 - 10.3389/fphy.2019.00212

DO - 10.3389/fphy.2019.00212

M3 - Article

VL - 7

JO - Frontiers of Physics

JF - Frontiers of Physics

SN - 2095-0462

M1 - 212

ER -

ID: 111586674