Evidence map›Paper›PMID 37857316›Full record

ArticlePhysics in medicine and biology2023

Dose reduction in dynamic synaptic vesicle glycoprotein 2A PET imaging using artificial neural networks.

Andi Li, Bao Yang, Mika Naganawa, Kathryn Fontaine, Takuya Toyonaga, Richard E Carson, Jing Tang

Open access · hybridAbstract read
In one paragraph

Article in Physics in medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 3 institutions in 2 countries.

Andi LiDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States of America.
Bao YangSchool of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.ORCID 0000-0002-5993-3636
Mika NaganawaPositron Emission Tomography Center, Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States of America.
Kathryn FontainePositron Emission Tomography Center, Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States of America.
Takuya ToyonagaPositron Emission Tomography Center, Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States of America.
Richard E CarsonPositron Emission Tomography Center, Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States of America.
Jing TangDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States of America.ORCID 0000-0002-8961-138X
Itron (United States) · USUniversity of Cincinnati · USSouthern Medical University · CN

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
Dose Reduction in Pediatric/Adolescent Brain PET Imaging Through Artificial Neural NetworksR03EB028070 · NIBIB · UNIVERSITY OF CINCINNATI · PI TANG, JING · 2019 to 2019
$244k
NCATS NIH HHS UL1 TR001863NIBIB NIH HHS R03 EB028070
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Drug TaperingSynaptic VesiclesBrainGlycoproteinsHumansImage Processing, Computer-AssistedNeural Networks, ComputerPositron-Emission TomographyGlycoproteinsartificial neural networkdose reductiondynamic PETspatiotemporal denoisingSV2A imaging with 11C-UCB-J

Identifiers

PMID37857316
PMCPMC10739622
OpenAlexW4387782767

What OpenQuestion holds

Textmetadata
LicenceTDM
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.