The simplified reference tissue model: model assumption violations and their impact on binding potential
File(s)
Accepted version
Author(s)
Salinas, CA
Searle, GE
Gunn, RN
Type
Journal Article
Abstract
Reference tissue models have gained significant traction over the last two decades as the methods of choice for the quantification of brain positron emission tomography data because they balance quantitative accuracy with less invasive procedures. The principal advantage is the elimination of the need to perform arterial cannulation of the subject to measure blood and metabolite concentrations for input function generation. In particular, the simplified reference tissue model (SRTM) has been widely adopted as it uses a simplified model configuration with only three parameters that typically produces good fits to the kinetic data and a stable parameter estimation process. However, the model’s simplicity and its ability to generate good fits to the data, even when the model assumptions are not met, can lead to misplaced confidence in binding potential (BPND) estimates. Computer simulation were used to study the bias introduced in BPND estimates as a consequence of violating each of the four core SRTM model assumptions. Violation of each model assumption led to bias in BPND (both over and underestimation). Careful assessment of the bias in SRTM BPND should be performed for new tracers and applications so that an appropriate decision about its applicability can be made.
Date Issued
2014-11-26
Date Acceptance
2014-10-21
Citation
Journal of Cerebral Blood Flow and Metabolism, 2014, 35 (2), pp.304-311
ISSN
1559-7016
Publisher
Nature Publishing Group
Start Page
304
End Page
311
Journal / Book Title
Journal of Cerebral Blood Flow and Metabolism
Volume
35
Issue
2
Copyright Statement
© 2014, Rights Managed by Nature Publishing Group
Subjects
Science & Technology
Life Sciences & Biomedicine
Endocrinology & Metabolism
Hematology
Neurosciences
Neurosciences & Neurology
binding potential
PET
PRTM
reference tissue models
SRTM
POSITRON-EMISSION-TOMOGRAPHY
IN-VIVO
RECEPTOR-BINDING
REFERENCE REGION
KINETIC-ANALYSIS
HUMAN BRAIN
LIGAND
PARAMETERS
QUANTIFICATION
Publication Status
Published