A graphical analysis method to estimate blood-to-tissue transfer constants for tracers with labeled metabolites

David A. Mankoff, Anthony F. Shields, Michael M. Graham, Jeanne Link, Kenneth Krohn

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

The Patlak graphical analysis technique is a popular tool for estimating blood-to-tissue transfer constants from multiple-time uptake data. Our objective was to extend this technique to tracers with labeled metabolites, the presence of which can cause errors in the standard Patlak analysis. Methods: Based on previously described formulations, we generalized the graphical technique for use under specific conditions. To test the extended graphical approach, we applied the method to both simulated and patient data using a preliminary compartmental model for the PET tumor proliferation marker, 2-[11C]-thymidine. Results: When given conditions are met, a linear relationship exists between the normalized tissue activity (tissue activity/blood activity) and a new set of graphical analysis basis functions, including a new definition of normalized time, which takes the presence of labeled metabolites into account. Graphical estimations of the tumor thymidine incorporation rate for simulated data were accurate and showed close agreement to the results of detailed compartmental analysis. In patient studies, the graphical and compartmental estimates showed good agreement but a somewhat poorer correlation than in the simulations. Conclusion: The extended graphical analysis approach provides an efficient method for estimating blood-tissue transfer constants for tracers with labeled metabolites.

Original languageEnglish (US)
Pages (from-to)2049-2057
Number of pages9
JournalJournal of Nuclear Medicine
Volume37
Issue number12
StatePublished - Dec 1996
Externally publishedYes

Fingerprint

Thymidine
Tumor Biomarkers
Neoplasms

Keywords

  • carbon-11-thymidine
  • metabolites
  • modeling
  • PET

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology

Cite this

A graphical analysis method to estimate blood-to-tissue transfer constants for tracers with labeled metabolites. / Mankoff, David A.; Shields, Anthony F.; Graham, Michael M.; Link, Jeanne; Krohn, Kenneth.

In: Journal of Nuclear Medicine, Vol. 37, No. 12, 12.1996, p. 2049-2057.

Research output: Contribution to journalArticle

@article{0a692ae4dd0c450aa452611844e85bae,
title = "A graphical analysis method to estimate blood-to-tissue transfer constants for tracers with labeled metabolites",
abstract = "The Patlak graphical analysis technique is a popular tool for estimating blood-to-tissue transfer constants from multiple-time uptake data. Our objective was to extend this technique to tracers with labeled metabolites, the presence of which can cause errors in the standard Patlak analysis. Methods: Based on previously described formulations, we generalized the graphical technique for use under specific conditions. To test the extended graphical approach, we applied the method to both simulated and patient data using a preliminary compartmental model for the PET tumor proliferation marker, 2-[11C]-thymidine. Results: When given conditions are met, a linear relationship exists between the normalized tissue activity (tissue activity/blood activity) and a new set of graphical analysis basis functions, including a new definition of normalized time, which takes the presence of labeled metabolites into account. Graphical estimations of the tumor thymidine incorporation rate for simulated data were accurate and showed close agreement to the results of detailed compartmental analysis. In patient studies, the graphical and compartmental estimates showed good agreement but a somewhat poorer correlation than in the simulations. Conclusion: The extended graphical analysis approach provides an efficient method for estimating blood-tissue transfer constants for tracers with labeled metabolites.",
keywords = "carbon-11-thymidine, metabolites, modeling, PET",
author = "Mankoff, {David A.} and Shields, {Anthony F.} and Graham, {Michael M.} and Jeanne Link and Kenneth Krohn",
year = "1996",
month = "12",
language = "English (US)",
volume = "37",
pages = "2049--2057",
journal = "Journal of Nuclear Medicine",
issn = "0161-5505",
publisher = "Society of Nuclear Medicine Inc.",
number = "12",

}

TY - JOUR

T1 - A graphical analysis method to estimate blood-to-tissue transfer constants for tracers with labeled metabolites

AU - Mankoff, David A.

AU - Shields, Anthony F.

AU - Graham, Michael M.

AU - Link, Jeanne

AU - Krohn, Kenneth

PY - 1996/12

Y1 - 1996/12

N2 - The Patlak graphical analysis technique is a popular tool for estimating blood-to-tissue transfer constants from multiple-time uptake data. Our objective was to extend this technique to tracers with labeled metabolites, the presence of which can cause errors in the standard Patlak analysis. Methods: Based on previously described formulations, we generalized the graphical technique for use under specific conditions. To test the extended graphical approach, we applied the method to both simulated and patient data using a preliminary compartmental model for the PET tumor proliferation marker, 2-[11C]-thymidine. Results: When given conditions are met, a linear relationship exists between the normalized tissue activity (tissue activity/blood activity) and a new set of graphical analysis basis functions, including a new definition of normalized time, which takes the presence of labeled metabolites into account. Graphical estimations of the tumor thymidine incorporation rate for simulated data were accurate and showed close agreement to the results of detailed compartmental analysis. In patient studies, the graphical and compartmental estimates showed good agreement but a somewhat poorer correlation than in the simulations. Conclusion: The extended graphical analysis approach provides an efficient method for estimating blood-tissue transfer constants for tracers with labeled metabolites.

AB - The Patlak graphical analysis technique is a popular tool for estimating blood-to-tissue transfer constants from multiple-time uptake data. Our objective was to extend this technique to tracers with labeled metabolites, the presence of which can cause errors in the standard Patlak analysis. Methods: Based on previously described formulations, we generalized the graphical technique for use under specific conditions. To test the extended graphical approach, we applied the method to both simulated and patient data using a preliminary compartmental model for the PET tumor proliferation marker, 2-[11C]-thymidine. Results: When given conditions are met, a linear relationship exists between the normalized tissue activity (tissue activity/blood activity) and a new set of graphical analysis basis functions, including a new definition of normalized time, which takes the presence of labeled metabolites into account. Graphical estimations of the tumor thymidine incorporation rate for simulated data were accurate and showed close agreement to the results of detailed compartmental analysis. In patient studies, the graphical and compartmental estimates showed good agreement but a somewhat poorer correlation than in the simulations. Conclusion: The extended graphical analysis approach provides an efficient method for estimating blood-tissue transfer constants for tracers with labeled metabolites.

KW - carbon-11-thymidine

KW - metabolites

KW - modeling

KW - PET

UR - http://www.scopus.com/inward/record.url?scp=0030482685&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030482685&partnerID=8YFLogxK

M3 - Article

C2 - 8970533

AN - SCOPUS:0030482685

VL - 37

SP - 2049

EP - 2057

JO - Journal of Nuclear Medicine

JF - Journal of Nuclear Medicine

SN - 0161-5505

IS - 12

ER -