Evidence map›Paper›PMID 30535672›Full record

Trial reportMolecular imaging and biology2019

Quantification of Positron Emission Tomography Data Using Simultaneous Estimation of the Input Function: Validation with Venous Blood and Replication of Clinical Studies.

Elizabeth A Bartlett, Mala Ananth, Samantha Rossano, Mengru Zhang, Jie Yang, Shu-Fei Lin, Nabeel Nabulsi, Yiyun Huang, Francesca Zanderigo, Ramin V Parsey and 1 more

Abstract readClinical TrialValidation Study
In one paragraph

Trial report in Molecular imaging and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies.European journal of nuclear medicine and molecular imaging · 2023
    Pooled it
  2. Trial
  3. Prediction of lithium treatment response in bipolar depression using 5-HTT and 5-HTEuropean journal of nuclear medicine and molecular imaging · 2020
    Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Deep-learning-derived input function in dynamic [Frontiers in nuclear medicine · 2024
    Article
  10. Article
  11. European psychiatry : the journal of the Association of European Psychiatrists · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. 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
  16. Cerebral blood flow measurements withJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  17. 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

11 authors.

Elizabeth A BartlettDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA. Elizabeth.Bartlett@stonybrook.edu.
Mala AnanthDepartment of Neuroscience, Stony Brook University, Stony Brook, NY, USA.
Samantha RossanoDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Mengru ZhangDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA.
Jie YangDepartment of Family, Population, and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA.
Shu-Fei LinDepartment of Radiology & Biomedical Imaging, Yale University, New Haven, CT, USA.
Nabeel NabulsiDepartment of Radiology & Biomedical Imaging, Yale University, New Haven, CT, USA.
Yiyun HuangDepartment of Radiology & Biomedical Imaging, Yale University, New Haven, CT, USA.
Francesca ZanderigoDepartment of Psychiatry, Columbia University, New York, NY, USA.
Ramin V ParseyDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA.
Christine DeLorenzoDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Supplement to Lithium's Molecular Mechanism of Action and the Pathology of Bipolar DisordersR01MH090276 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI PARSEY, RAMIN V. · 2011 to 2015
$4.2M
Advancing Personalized Antidepressant Treatment Using PET/MRIR01MH104512 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI DELORENZO, CHRISTINE · 2015 to 2018
$2.9M
Characterization of a New Metabotropic Glutamate Receptor Subtype 5 PET LigandK01MH091354 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI DELORENZO, CHRISTINE · 2011 to 2014
$691k
NCATS NIH HHS UL1 TR001863NIMH NIH HHS K01 MH091354NIMH NIH HHS R01 MH090276NIMH NIH HHS R01 MH104512
6 · The paper itself

Abstract

purposeTo determine if one venous blood sample can substitute full arterial sampling in quantitative modeling for multiple positron emission tomography (PET) radiotracers using simultaneous estimation of the input function (SIME). PROCEDURES: Participants underwent PET imaging with [

resultsVenous and arterial metabolite-corrected plasma activities were within 6 % of each other at varying time points. vSIME- and AIF-derived outcome measures were in good agreement, with optimal sampling times of 12 min ([

conclusionsWe demonstrate the feasibility of AIF recovery using SIME with one venous sample for [

Indexed as

Blood Specimen CollectionPositron-Emission TomographyAdultArteriesComputer SimulationFemaleHumansMaleReproducibility of ResultsVeinsLess invasive PETSample size considerationsSimultaneous estimationVenous blood

Identifiers

PMID30535672
PMCPMC6555699

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.