Evidence map›Paper›PMID 35026425›Full record

ArticleNeuroImage2022

Source-to-Target Automatic Rotating Estimation (STARE) - A publicly-available, blood-free quantification approach for PET tracers with irreversible kinetics: Theoretical framework and validation for [

Elizabeth A Bartlett, R Todd Ogden, J John Mann, Francesca Zanderigo

Abstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Dynamic Human Brain Imaging with a Portable PET Camera: Comparison to a Standard Scanner.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  4. 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

4 authors.

Elizabeth A BartlettMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute, New York, USA; Department of Psychiatry, Columbia University Medical Center, New York, USA. Electronic address: eab2266@cumc.columbia.edu.
R Todd OgdenMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute, New York, USA; Department of Psychiatry, Columbia University Medical Center, New York, USA; Department of Biostatistics, Mailman School of Public Health, Columbia University Medical Center, New York, USA.
J John MannMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute, New York, USA; Department of Psychiatry, Columbia University Medical Center, New York, USA; Department of Radiology, Columbia University Medical Center, New York, USA.
Francesca ZanderigoMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute, New York, USA; Department of Psychiatry, Columbia University Medical Center, New York, USA.

Funding

Research Training in Mood and Anxiety Disorders: From Animal Models to PatientsT32MH015144 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Eduardo David Leonardo · 1985 to 2026
$11.1M
Noninvasive Quantification of Brain Glucose Metabolism Using a Portable Positron Emission Tomography Camera.R01EB026481 · NIBIB · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI ZANDERIGO, FRANCESCA · 2018 to 2021
$1.8M
NIBIB NIH HHS R01 EB026481NIMH NIH HHS T32 MH015144
6 · The paper itself

Abstract

introductionFull quantification of positron emission tomography (PET) data requires an input function. This generally means arterial blood sampling, which is invasive, labor-intensive and burdensome. There is no current, standardized method to fully quantify PET radiotracers with irreversible kinetics in the absence of blood data. Here, we present Source-to-Target Automatic Rotating Estimation (STARE), a novel, data-driven approach to quantify the net influx rate (K

methodsSTARE builds upon a source-to-target tissue model, where the tracer time activity curves (TACs) in multiple "target" regions are expressed at once as a function of a "source" region, based on the two-tissue irreversible compartment model, and separates target region K

resultsIn a large dataset of human [

conclusionThrough simulations and application to [

Indexed as

AdultCerebellumCerebral CortexFluorodeoxyglucose F18HumansImage Processing, Computer-AssistedModels, TheoreticalPositron-Emission TomographyRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsBlood-free PET quantificationIrreversible radiotracersKinetic modelingNet influx rateSource-to-target modeling

Identifiers

PMID35026425
PMCPMC8969778

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.