Evidence map›Paper›PMID 27123457›Full record

Trial reportBioMed research international2016

Design of Infusion Schemes for Neuroreceptor Imaging: Application to [(11)C]Flumazenil-PET Steady-State Study.

Ling Feng, Claus Svarer, Karine Madsen, Morten Ziebell, Agnete Dyssegaard, Anders Ettrup, Hanne Demant Hansen, Szabolcs Lehel, Stig Yndgaard, Olaf Bjarne Paulson and 2 more

Abstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. GABAFrontiers in neuroscience · 2023
    Article
  2. NRM 2021 Abstract Booklet.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  3. 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

12 authors.

Ling FengNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Claus SvarerNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Karine MadsenNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Morten ZiebellNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Agnete DyssegaardNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Anders EttrupNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Hanne Demant HansenNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Szabolcs LehelPET and Cyclotron Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Stig YndgaardHeart Centre, Aarhus University Hospital, Noerrebrogade 44, 8000 Aarhus, Denmark.
Olaf Bjarne PaulsonNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark; Faculty of Health and Medicine Sciences, Copenhagen University, Blegdamsvej 3, 2200 Copenhagen, Denmark; Danish Research Centre Magnetic Resonance, Copenhagen University Hospital, Hvidovre Hospital, Kettegaard Allé 30, 2650 Hvidovre, Denmark.
Gitte Moos KnudsenNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark; Faculty of Health and Medicine Sciences, Copenhagen University, Blegdamsvej 3, 2200 Copenhagen, Denmark.
Lars Hageman PinborgNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark; Faculty of Health and Medicine Sciences, Copenhagen University, Blegdamsvej 3, 2200 Copenhagen, Denmark; Epilepsy Clinic, Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims at developing a simulation system that predicts the optimal study design for attaining tracer steady-state conditions in brain and blood rapidly. Tracer kinetics was determined from bolus studies and used to construct the system. Subsequently, the system was used to design inputs for bolus infusion (BI) or programmed infusion (PI) experiments. Steady-state quantitative measurements can be made with one short scan and venous blood samples. The GABAA receptor ligand [(11)C]Flumazenil (FMZ) was chosen for this purpose, as it lacks a suitable reference region. Methods. Five bolus [(11)C]FMZ-PET scans were conducted, based on which population-based PI and BI schemes were designed and tested in five additional healthy subjects. The design of a PI was assisted by an offline feedback controller. Results. The system could reproduce the measurements in blood and brain. With PI, [(11)C]FMZ steady state was attained within 40 min, which was 8 min earlier than the optimal BI (B/I ratio = 55 min). Conclusions. The system can design both BI and PI schemes to attain steady state rapidly. For example, subjects can be [(11)C]FMZ-PET scanned after 40 min of tracer infusion for 40 min with venous sampling and a straight-forward quantification. This simulation toolbox is available for other PET-tracers.

Indexed as

AdultCarbon RadioisotopesFeedbackFemaleFlumazenilHumansInfusions, IntravenousMaleMetabolomeMiddle AgedModels, BiologicalPositron-Emission TomographySensory Receptor CellsTime FactorsYoung AdultCarbon RadioisotopesFlumazenil

Identifiers

PMID27123457
PMCPMC4830710

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.