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Different preprocessing strategies lead to different conclusions: A [11C]DASB-PET reproducibility study

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Positron emission tomography (PET) neuroimaging provides unique possibilities to study biological processes in vivo under basal and interventional conditions. For quantification of PET data, researchers commonly apply different arrays of sequential data analytic methods (“preprocessing pipeline”), but it is often unknown how the choice of preprocessing affects the final outcome. Here, we use an available data set from a double-blind, randomized, placebo-controlled [ 11C]DASB-PET study as a case to evaluate how the choice of preprocessing affects the outcome of the study. We tested the impact of 384 commonly used preprocessing strategies on a previously reported positive association between the change from baseline in neocortical serotonin transporter binding determined with [ 11C]DASB-PET, and change in depressive symptoms, following a pharmacological sex hormone manipulation intervention in 30 women. The two preprocessing steps that were most critical for the outcome were motion correction and kinetic modeling of the dynamic PET data. We found that 36% of the applied preprocessing strategies replicated the originally reported finding (p < 0.05). For preprocessing strategies with motion correction, the replication percentage was 72%, whereas it was 0% for strategies without motion correction. In conclusion, the choice of preprocessing strategy can have a major impact on a study outcome.

OriginalsprogEngelsk
TidsskriftJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
Vol/bind40
Udgave nummer9
Sider (fra-til)1902-1911
Antal sider10
ISSN0271-678X
DOI
StatusUdgivet - 1 sep. 2020

Bibliografisk note

Funding Information:
We wish to thank all the participants for kindly joining the research project. We thank the John and Birthe Meyer Foundation for the donation of the cyclotron and PET scanner. Peter Steen Jensen and Vincent Beliveau are gratefully acknowledged. Finally, we thank the anonymous reviewers for their careful reading and complimentary comments that helped improve this paper.

ID: 61072564