Evidence map›Paper›PMID 25873424›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2015

Improved models for plasma radiometabolite correction and their impact on kinetic quantification in PET studies.

Matteo Tonietto, Mattia Veronese, Gaia Rizzo, Paolo Zanotti-Fregonara, Talakad G Lohith, Masahiro Fujita, Sami S Zoghbi, Alessandra Bertoldo

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Kinetic modelling of [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Plasma radiometabolite correction in dynamic PET studies: Insights on the available modeling approaches.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2016
    Review
  7. 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

8 authors.

Matteo ToniettoDepartment of Information Engineering (DEI), University of Padova, Padova, Italy.
Mattia VeroneseDepartment of Information Engineering (DEI), University of Padova, Padova, Italy.
Gaia RizzoDepartment of Information Engineering (DEI), University of Padova, Padova, Italy.
Paolo Zanotti-FregonaraMolecular Imaging Branch, National Institute of Mental Health, Bethesda, Maryland, USA.
Talakad G LohithMolecular Imaging Branch, National Institute of Mental Health, Bethesda, Maryland, USA.
Masahiro FujitaMolecular Imaging Branch, National Institute of Mental Health, Bethesda, Maryland, USA.
Sami S ZoghbiMolecular Imaging Branch, National Institute of Mental Health, Bethesda, Maryland, USA.
Alessandra BertoldoDepartment of Information Engineering (DEI), University of Padova, Padova, Italy.

Funding

Preclinical Evaluation Of PET RadiotracersZ01MH002795 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI INNIS, ROBERT · 2002 to 2008
$3.2M
Intramural NIH HHS Z01 MH002795Medical Research Council G1100809/1NIMH NIH HHS MH002795-13
6 · The paper itself

Abstract

The quantification of dynamic positron emission tomography studies performed with arterial sampling usually requires correcting the input function for the presence of radiometabolites by using a model of the plasma parent fraction (PPf). Here, we show how to include the duration of radioligand injection in the PPf model formulations to achieve a more physiologic description of the plasma measurements. This formulation (here called convoluted model) was tested on simulated data and on three datasets with different parent kinetics: [(11)C]NOP-1A, [(11)C]MePPEP, and [(11)C](R)-rolipram. Results showed that convoluted PPf models better described the fraction of unchanged parent in the plasma compared with standard models for all three datasets (weighted residuals sum of squares up to 25% lower). When considering the effect on tissue quantification, the overall impact on the total volume of distribution (VT) was low. However, the impact was significant and radioligand-dependent on the binding potential (BP) and the microparameters (K1, k2, k3, and k4). Simulated data confirmed that quantification is sensitive to different degrees to PPf model misspecification. Including the injection duration allows obtaining a more accurate correction of the input function for the presence of radiometabolites and this yields a more reliable quantification of the tissue parameters.

Indexed as

Databases, FactualModels, BiologicalPositron-Emission TomographyFemaleHumansKineticsMaleRadiopharmaceuticalsRadiopharmaceuticals

Identifiers

PMID25873424
PMCPMC4640335

What OpenQuestion holds

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Registered trials

None linked

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.