Evidence map›Paper›PMID 30588554›Full record

ArticleEJNMMI research2018

Volume-of-interest-based supervised cluster analysis for pseudo-reference region selection in [

Igor Fagner Vieira, Dieter Ory, Cindy Casteels, Fernando R A Lima, Koen Van Laere, Guy Bormans, Michel Koole

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI research, 2018. 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
0.7field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Supervised clustering for TSPO PET imaging.European journal of nuclear medicine and molecular imaging · 2021
    Review
  3. TSPO imaging in animal models of brain diseases.European journal of nuclear medicine and molecular imaging · 2021
    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

7 authors at 1 institution in 1 country.

Igor Fagner VieiraDepartment of Nuclear Energy, DEN-UFPE, Recife, Brazil.
Dieter OryLaboratory for Radiopharmacy, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Cindy CasteelsNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, University Hospital and KU Leuven, Herestraat 49, B-3000, Leuven, Belgium.
Fernando R A LimaDepartment of Nuclear Energy, DEN-UFPE, Recife, Brazil.
Koen Van LaereNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, University Hospital and KU Leuven, Herestraat 49, B-3000, Leuven, Belgium.
Guy BormansLaboratory for Radiopharmacy, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Michel KooleNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, University Hospital and KU Leuven, Herestraat 49, B-3000, Leuven, Belgium. michel.koole@kuleuven.be.
KU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodAim of this study was to automatically select a suitable pseudo-reference brain region for the accurate, non-invasive quantification of neuroinflammation in a rat brain using dynamic [ PROCEDURES: A supervised clustering analysis approach considering three kinetic classes (SVCA3) was used to select an appropriate pseudo-reference brain region. This pseudo-reference region was determined by selecting only brain regions with low specific tracer uptake (SVCA3

resultsFor the right striatum, SRTM BP values using a SVCA3

conclusionsA SVCA3 approach using three kinetic classes allowed the automatic selection of pseudo-reference brain regions with low specific tracer binding for accurate and non-invasive quantification of rat brain PET imaging using [

Indexed as

[18F]DPA-714 PETNeuroinflammationPseudo-reference brain regionRat brainSupervised clustering analysis

Identifiers

PMID30588554
PMCPMC6306370
OpenAlexW2905657593

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.