Evidence map›Paper›PMID 30182792›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2019

Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL-MRI: proof of concept.

Catherine J Scott, Jieqing Jiao, Andrew Melbourne, Ninon Burgos, David M Cash, Enrico De Vita, Pawel J Markiewicz, Antoinette O'Connor, David L Thomas, Philip Sj Weston and 3 more

Abstract read
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In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Quantification of FDG in the spinal cord using PET/MRI.Frontiers in nuclear medicine · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Comparison of simultaneous arterial spin labeling MRI andJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Article
  6. Advances in simultaneous PET/MR for imaging neuroreceptor function.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Review
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

13 authors.

Catherine J ScottTranslational Imaging Group, CMIC, University College London, London, UK.ORCID 0000-0003-0129-738X
Jieqing JiaoTranslational Imaging Group, CMIC, University College London, London, UK.
Andrew MelbourneTranslational Imaging Group, CMIC, University College London, London, UK.
Ninon BurgosTranslational Imaging Group, CMIC, University College London, London, UK.
David M CashTranslational Imaging Group, CMIC, University College London, London, UK.
Enrico De VitaNeuroradiological Academic Unit, UCL Institute of Neurology, London, UK.
Pawel J MarkiewiczTranslational Imaging Group, CMIC, University College London, London, UK.
Antoinette O'ConnorDementia Research Centre, Institute of Neurology, University College London, London, UK.
David L ThomasTranslational Imaging Group, CMIC, University College London, London, UK.
Philip Sj WestonDementia Research Centre, Institute of Neurology, University College London, London, UK.
Jonathan M SchottDementia Research Centre, Institute of Neurology, University College London, London, UK.
Brian F HuttonInstitute of Nuclear Medicine, University College London, London, UK.
Sébastien OurselinSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Funding

Department of HealthMedical Research Council MR/J01107X/1Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2Medical Research Council MR/M003108/1Medical Research Council MR/M009106/1Wellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

Pharmacokinetic modelling on dynamic positron emission tomography (PET) data is a quantitative technique. However, the long acquisition time is prohibitive for routine clinical use. Instead, the semi-quantitative standardised uptake value ratio (SUVR) from a shorter static acquisition is used, despite its sensitivity to blood flow confounding longitudinal analysis. A method has been proposed to reduce the dynamic acquisition time for quantification by incorporating cerebral blood flow (CBF) information from arterial spin labelling (ASL) magnetic resonance imaging (MRI) into the pharmacokinetic modelling. In this work, we optimise and validate this framework for a study of ageing and preclinical Alzheimer's disease. This methodology adapts the simplified reference tissue model (SRTM) for a reduced acquisition time (RT-SRTM) and is applied to [

Indexed as

Alzheimer DiseaseAniline CompoundsCerebrovascular CirculationEthylene GlycolsModels, CardiovascularPositron-Emission TomographyAmyloid beta-PeptidesFemaleHumansMaleProof of Concept StudyAmyloid beta-PeptidesAniline CompoundsEthylene Glycolsflorbetapirarterial spin labellingcerebral blood flowpharmacokinetic modellingPositron emission tomographyreduced acquisition time

Identifiers

PMID30182792
PMCPMC6891000

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.