Quantification of myocardial blood flow with 82Rb dynamic PET imaging View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-11

AUTHORS

Mireille Lortie, Rob S. B. Beanlands, Keiichiro Yoshinaga, Ran Klein, Jean N. DaSilva, Robert A. deKemp

ABSTRACT

PURPOSE: The PET tracer (82)Rb is commonly used to evaluate regional perfusion defects for the diagnosis of coronary artery disease. There is limited information on the quantification of myocardial blood flow and flow reserve with this tracer. The goal of this study was to investigate the use of a one-compartment model of (82)Rb kinetics for the quantification of myocardial blood flow. METHODS: Fourteen healthy volunteers underwent rest and dipyridamole stress imaging with both (13)N-ammonia and (82)Rb within a 2-week interval. Myocardial blood flow was estimated from the time-activity curves measured with (13)N-ammonia using a standard two-compartment model. The uptake parameter of the one-compartment model was estimated from the time-activity curves measured with (82)Rb. To describe the relationship between myocardial blood flow and the uptake parameter, a nonlinear extraction function was fitted to the data. This function was then used to convert estimates of the uptake parameter to flow estimates. The extraction function was validated with an independent data set obtained from 13 subjects with documented evidence of coronary artery disease (CAD). RESULTS: The one-compartment model described (82)Rb kinetics very well (median R-square = 0.98). The flow estimates obtained with (82)Rb were well correlated with those obtained with (13)N-ammonia (r = 0.85), and the best-fit line did not differ significantly from the identity line. Data obtained from the subjects with CAD confirmed the validity of the estimated extraction function. CONCLUSION: It is possible to obtain accurate estimates of myocardial blood flow and flow reserve with a one-compartment model of (82)Rb kinetics and a nonlinear extraction function. More... »

PAGES

1765-1774

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00259-007-0478-2

DOI

http://dx.doi.org/10.1007/s00259-007-0478-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018573299

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17619189


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00259-007-0478-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00259-007-0478-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00259-007-0478-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00259-007-0478-2'


 

This table displays all metadata directly associated to this object as RDF triples.

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