Evidence map›Paper›PMID 26661202›Full record

ReviewJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2016

Plasma radiometabolite correction in dynamic PET studies: Insights on the available modeling approaches.

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

Abstract readReview
In one paragraph

Review in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
  2. Review
  3. Article
  4. TSPO circadian pattern: a test-retest study of [European journal of nuclear medicine and molecular imaging · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Quantitation of dynamic total-body PET imaging: recent developments and future perspectives.European journal of nuclear medicine and molecular imaging · 2023
    Review
  15. Supervised clustering for TSPO PET imaging.European journal of nuclear medicine and molecular imaging · 2021
    Review
  16. Review
  17. Reproducibility of findings in modern PET neuroimaging: insight from the NRM2018 grand challenge.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  18. First-in-human evaluation of [European journal of nuclear medicine and molecular imaging · 2020
    Article
  19. Article
  20. Guidelines for the content and format of PET brain data in publications and archives: A consensus paper.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    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

7 authors.

Matteo ToniettoDepartment of Information Engineering, University of Padova, Padova, Italy.
Gaia RizzoDepartment of Information Engineering, University of Padova, Padova, Italy.
Mattia VeroneseDepartment of Neuroimaging, IoPPN, King's College London, London, UK.
Masahiro FujitaMolecular Imaging Branch, National Institute of Mental Health, Bethesda, MD, USA.
Sami S ZoghbiMolecular Imaging Branch, National Institute of Mental Health, Bethesda, MD, USA.
Paolo Zanotti-FregonaraMolecular Imaging Branch, National Institute of Mental Health, Bethesda, MD, USA INCIA UMR-CNRS 5287, Université de Bordeaux, Bordeaux, France.
Alessandra BertoldoDepartment of Information Engineering, University of Padova, Padova, Italy bertoldo@dei.unipd.it.

Funding

Intramural NIH HHSMedical Research Council G1100809/1PHS HHS ZIAMH002795
6 · The paper itself

Abstract

Full kinetic modeling of dynamic PET images requires the measurement of radioligand concentrations in the arterial plasma. The unchanged parent radioligand must, however, be separated from its radiometabolites by chromatographic methods. Thus, only few samples can usually be analyzed and the resulting measurements are often noisy. Therefore, the measurements must be fitted with a mathematical model. This work presents a comprehensive analysis of the different models proposed in the literature to describe the plasma parent fraction (PPf) and of the alternative approaches for radiometabolite correction. Finally, we used a dataset of [(11)C]PBR28 brain PET data as a case study to guide the reader through the PPf model selection process.

Indexed as

Models, NeurologicalModels, TheoreticalAlgorithmsBiotransformationHealthy VolunteersHumansImage Processing, Computer-AssistedPopulationPositron-Emission TomographyPyrimidinesRadiopharmaceuticalsReference Values(methyl-(11)C)N-acetyl-N-(2-methoxybenzyl)-2-phenoxy-5-pyridinaminePyrimidinesRadiopharmaceuticalsPETplasma parent fractionPPf modelingradiometabolite correction

Identifiers

PMID26661202
PMCPMC4759680

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.