Evidence map›Paper›PMID 26854145›Full record

ArticleDiagnostics (Basel, Switzerland)2015

Pharmacokinetic Analysis of (64)Cu-ATSM Dynamic PET in Human Xenograft Tumors in Mice.

Fan Li, Jesper Tranekjær Jørgensen, Jacob Madsen, Andreas Kjaer

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Fan LiCluster for Molecular Imaging, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, 2200 Copenhagen, Denmark. fanli@sund.ku.dk.
Jesper Tranekjær JørgensenCluster for Molecular Imaging, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, 2200 Copenhagen, Denmark. jtran@sund.ku.dk.
Jacob MadsenDepartment of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark. Jacob.Madsen@regionh.dk.
Andreas KjaerCluster for Molecular Imaging, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3, 2200 Copenhagen, Denmark. akjaer@sund.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledThe aim of this study was to evaluate the feasibility to perform voxel-wise kinetic modeling on datasets obtained from tumor-bearing mice that underwent dynamic PET scans with (64)Cu-ATSM and extract useful physiological parameters.

methodsTumor-bearing mice underwent 90-min dynamic PET scans with (64)Cu-ATSM and CT scans with contrast. Irreversible and reversible two-tissue compartment models were fitted to time activity curves (TACs) obtained from whole tumor volumes and compared using the Akaike information criterion (AIC). Based on voxel-wise pharmacokinetic analysis, parametric maps of model rate constants k₁, k₃ and Ki were generated and compared to (64)Cu-ATSM uptake.

resultsBased on the AIC, an irreversible two-tissue compartment model was selected for voxel-wise pharmacokinetic analysis. Of the extracted parameters, k₁ (~perfusion) showed a strong correlation with early tracer uptake (mean spearman R = 0.88) 5 min post injection (pi). Moreover, positive relationships were found between late tracer uptake (90 min pi) and both k₃ and the net influx rate constant, Ki (mean spearman R = 0.56 and R = 0.86; respectively).

conclusionThis study shows the feasibility to extract relevant parameters from voxel-wise pharmacokinetic analysis to be used for preclinical validation of (64)Cu-ATSM as a hypoxia-specific PET tracer.

Indexed as

64Cu-ATSMcancerhypoxiakinetic modelingparametric mappingPETPET/CTvoxel-wise pharmacokinetic analysisxenograft tumors

Identifiers

PMID26854145
PMCPMC4665587

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