Title
Evaluation of reference tissue model and tissue ratio method for 5-HTT using [123I] ADAM tracer
Abstract
The serotonin (5-hydroxytryptamine, or 5-HT) transporters (5-HTT) are target-sites for commonly used antidepressants. [^1^2^3I] ADAM is a novel radiotracer that selectively binds the 5-HTT of the central nervous system. The aim for this study was to compare four-parameter model (FPM) with three-parameter model (TPM) from non-invasive reference tissue model (RTM) for 5-HTT quantification using the cerebellum as indirect input function. Furthermore, we compared tracer kinetic model with the tissue ratio (TR) method. The binding potential (BP) values derived from both models were almost the same, but ratio of delivery (R"1) in TPM had smaller standard deviation than the FPM. There was also significant correlation between BP and specific uptake ratio (SUR). In conclusion, simplified reference tissue model (SRTM) was the better choice because of its stability and convenient implementation for non-invasive quantification of brain SPECT studies. The correlation found between BP and SUR supports the use of TR method for quantification of 5-HTT to avoid arterial sampling in dynamic SPECT scan.
Year
DOI
Venue
2008
10.1016/j.cmpb.2008.02.011
Computer Methods and Programs in Biomedicine
Keywords
Field
DocType
three-parameter model,tissue ratio method,four-parameter model,tr method,specific uptake ratio,adam tracer,reference tissue model,tracer kinetic model,non-invasive quantification,5-htt quantification,tissue ratio,non-invasive reference tissue model,standard deviation,central nervous system,binding potential
Nuclear medicine,Biomedical engineering,Computer vision,TRACER,Computer science,Kinetic model,Artificial intelligence,SPECT SCAN,Standard deviation,Tissue Model,Input function,Binding potential
Journal
Volume
Issue
ISSN
92
3
0169-2607
Citations 
PageRank 
References 
1
0.44
0
Authors
7
Name
Order
Citations
PageRank
Bang-Hung Yang110.77
Shyh-jen Wang2122.63
Yuan-Hwa Chou341.88
Tung-Ping Su4604.87
Shih-Pei Chen522.61
Jih-Shian Lee632.17
Jyh-Cheng Chen71204146.68