Evidence map›Paper›PMID 26077542›Full record

ArticleEJNMMI research2015

A new compartmental method for the analysis of liver FDG kinetics in small animal models.

Sara Garbarino, Valentina Vivaldi, Fabrice Delbary, Giacomo Caviglia, Michele Piana, Cecilia Marini, Selene Capitanio, Iolanda Calamia, Ambra Buschiazzo, Gianmario Sambuceti

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Kinetic Analysis of Hepatic Metabolism Using Hyperpolarized Dihydroxyacetone.Journal of chemical information and modeling · 2019
    Article
  8. Article
  9. Article
  10. Searching for novel PET radiotracers: imaging cardiac perfusion, metabolism and inflammation.American journal of nuclear medicine and molecular imaging · 2018
    Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Sara GarbarinoDipartimento di Matematica, Università di Genova, via Dodecaneso 35, 16146, Genova, Italy, garbarino@dima.unige.it.
Valentina Vivaldi
Fabrice Delbary
Giacomo Caviglia
Michele Piana
Cecilia Marini
Selene Capitanio
Iolanda Calamia
Ambra Buschiazzo
Gianmario Sambuceti
University of Genoa · ITOspedale Policlinico San Martino · ITInstitute of Molecular Bioimaging and Physiology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCompartmental analysis is a standard method to quantify metabolic processes using fluorodeoxyglucose-positron emission tomography (FDG-PET). For liver studies, this analysis is complex due to the hepatocyte capability to dephosphorylate and release glucose and FDG into the blood. Moreover, a tracer is supplied to the liver by both the hepatic artery and the portal vein, which is not visible in PET images. This study developed an innovative computational approach accounting for the reversible nature of FDG in the liver and directly computing the portal vein tracer concentration by means of gut radioactivity measurements.

methodsTwenty-one mice were subdivided into three groups: the control group 'CTR' (n = 7) received no treatment, the short-term starvation group 'STS' (n = 7) was submitted to food deprivation with free access to water within 48 h before imaging, and the metformin group 'MTF' (n = 7) was treated with metformin (750 mg/Kg per day) for 1 month. All mice underwent a dynamic micro-PET study for 50 min after an (18)F-FDG injection. The compartmental analysis considered two FDG pools (phosphorylated and free) in both the gut and liver. A tracer was carried into the liver by the hepatic artery and the portal vein, and tracer delivery from the gut was considered as the sole input for portal vein tracer concentration. Accordingly, both the liver and gut were characterized by two compartments and two exchange coefficients. Each one of the two two-compartment models was mathematically described by a system of differential equations, and data optimization was performed by applying a Newton algorithm to the inverse problems associated to these differential systems.

resultsAll rate constants were stable in each group. The tracer coefficient from the free to the metabolized compartment in the liver was increased by STS, while it was unaltered by MTF. By contrast, the tracer coefficient from the metabolized to the free compartment was reduced by MTF and increased by STS.

conclusionsData demonstrated that our method was able to analyze FDG kinetics under pharmacological or pathophysiological stimulation, quantifying the fraction of the tracer trapped in the liver or dephosphorylated and released into the bloodstream.

Identifiers

PMID26077542
PMCPMC4469683
OpenAlexW1486704333

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.