Linked Life Data

12052209

Source:http://linkedlifedata.com/resource/pubmed/id/12052209

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
16
pubmed:dateCreated
2002-6-7
pubmed:abstractText
Drug analysis and development with PET should fully exhaust the ability of this tomographic technique to quantify regional tracer concentrations in vivo. Data evaluation based on visual inspection or assessment of regional image contrast is not sufficient for this purpose since much of the information present in dynamically acquired data is not used by these approaches. Compartment modelling of dynamic PET data is generally the method of choice since it allows a quantitative assessment of the underlying pharmacokinetic parameters describing drug transport, metabolism and molecular interactions. We present here an overview of key issues of compartment modelling with specific attention to the assumptions underlying the various models and their limitations. We believe that a thorough understanding of the applicability of models is mandatory for the development, successful execution and analysis of quantitative PET studies. Otherwise, meaningful and interpretable results will often not be obtained.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1381-6128
pubmed:author
pubmed:issnType
Print
pubmed:volume
8
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1513-26
pubmed:dateRevised
2006-2-27
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Fundamentals of quantitative PET data analysis.
pubmed:affiliation
Positron Emission Tomography (PET) Centre, University Hospital Groningen, Groningen, The Netherlands. a.t.m.willemsen@pet.azg.nl
pubmed:publicationType
Journal Article, Review