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. 2017 Dec 6;4(1):30.
doi: 10.1186/s40658-017-0197-0.

Model selection criteria for dynamic brain PET studies

Sandeep S V Golla  1 , Sofie M Adriaanse  2 , Maqsood Yaqub  2 , Albert D Windhorst  2 , Adriaan A Lammertsma  2 , Bart N M van Berckel  2 , Ronald Boellaard  2   3
Affiliations

Model selection criteria for dynamic brain PET studies

Sandeep S V Golla et al. EJNMMI Phys. .

Abstract

Background: Several criteria exist to identify the optimal model for quantification of tracer kinetics. The purpose of this study was to evaluate the correspondence in kinetic model preference identification for brain PET studies among five model selection criteria: Akaike Information Criterion (AIC), AIC unbiased (AICC), model selection criterion (MSC), Schwartz Criterion (SC), and F-test.

Materials and methods: Six tracers were evaluated: [11C]FMZ, [11C]GMOM, [11C]PK11195, [11C]Raclopride, [18F]FDG, and [11C]PHT, including data from five subjects per tracer. Time activity curves (TACs) were analysed using six plasma input models: reversible single-tissue model (1T2k), irreversible two-tissue model (2T3k), and reversible two-tissue model (2T4k), all with and without blood volume fraction parameter (V B). For each tracer and criterion, the percentage of TACs preferring a certain model was calculated.

Results: For all radiotracers, strong agreement was seen across the model selection criteria. The F-test was considered as the reference, as it is a frequently used hypothesis test. The F-test confirmed the AIC preferred model in 87% of all cases. The strongest (but minimal) disagreement across regional TACs was found when comparing AIC with AICC. Despite these regional discrepancies, same preferred kinetic model was obtained using all criteria, with an exception of one FMZ subject.

Conclusion: In conclusion, all five model selection criteria resulted in similar conclusions with only minor differences that did not affect overall model selection.

Keywords: Brain imaging; Imaging; Molecular imaging; Pharmacokinetics; Positron emission tomography.

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Conflict of interest statement

Authors’ information

SSVG is a postdoctoral researcher at VU University Medical Center. SMA is a postdoctoral researcher at the University of Amsterdam. MY is a clinical physicist at VU University Medical Center. ADW is a professor and head of the Department of Chemistry at VU University Medical Center. AAL is a professor and head of research at VU University Medical Center. BNMB is a professor of molecular brain imaging at VU University Medical Center. RB is a professor and head of the Department of Physics at VU University Medical Center.

Ethics approval and consent to participate

The original studies had all been approved by the Medical Ethics Review Committee of the VU University Medical Center. All subjects had provided written informed consent after complete explanation of the study procedures.

Consent for publication

All subjects had provided written informed consent after complete explanation of the study procedures.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Model preference (percentage of all TACs) per selection criterion for the six brain PET radiotracers
Fig. 2
Fig. 2
Model preference (percentage of all TACs ≥ 5 mL) per selection criterion for the six brain PET radiotracers
Fig. 3
Fig. 3
Model preference (percentage of all TACs < 5 mL) per selection criterion for the six brain PET radiotracers
See this image and copyright information in PMC

References

    1. Mansor S, Boellaard R, Froklage FE, et al. Quantification of dynamic 11C-Phenytoin PET studies. J Nucl Med. 2015;56(9):1372–1377. doi: 10.2967/jnumed.115.158055. - DOI - PubMed
    1. Hackett SL, Liu D, Chalkidou A, Marsden P, Landau D, Fenwick JD. Estimation of input functions from dynamic [18F]FLT PET studies of the head and neck with correction for partial volume effects. EJNMMI Res. 2013;3(1):84. doi: 10.1186/2191-219X-3-84. - DOI - PMC - PubMed
    1. Zanotti-Fregonara P, Leroy C, Roumenov D, Trichard C, Martinot JL, Bottlaender M. Kinetic analysis of [11C]befloxatone in the human brain, a selective radio ligand to image monoamine oxidase a. EJNMMI Res. 2013;3(1):78. doi: 10.1186/2191-219X-3-78. - DOI - PMC - PubMed
    1. Ito H, Nyberg S, Halldin C, Lundkvist C, Farde L. PET imaging of central 5-HT2A receptors with carbon-11-MDL 100,907. J Nucl Med. 1998;39(1):208–214. - PubMed
    1. Golla SS, Boellaard R, Oikonen V, et al. Quantification of [18F]DPA-714 binding in the human brain: initial studies in healthy controls and Alzheimer’s disease patients. J Cereb Blood Flow Metab. 2015;35(5):766–772. doi: 10.1038/jcbfm.2014.261. - DOI - PMC - PubMed

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