Evidence map›Paper›PMID 33369700›Full record

ArticleEJNMMI physics2020

Accuracy and precision of zero-echo-time, single- and multi-atlas attenuation correction for dynamic [

João M Sousa, Lieuwe Appel, Inés Merida, Rolf A Heckemann, Nicolas Costes, Mathias Engström, Stergios Papadimitriou, Dag Nyholm, Håkan Ahlström, Alexander Hammers and 1 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Deep-learning-based attenuation correction in dynamic [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Trial
  2. Evaluation of [EJNMMI research · 2024
    Article
  3. Review
  4. Article
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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 at 7 institutions in 4 countries.

João M SousaDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden. joao.sousa@surgsci.uu.se.ORCID http://orcid.org/0000-0002-1498-1327
Lieuwe AppelDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Inés MeridaCERMEP, Lyon, France.
Rolf A HeckemannDepartment of Radiation Physics, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Nicolas CostesCERMEP, Lyon, France.
Mathias EngströmGE Healthcare, Waukesha, USA.
Stergios PapadimitriouDepartment of Neurology, Uppsala University Hospital, Uppsala, Sweden.
Dag NyholmDepartment of Neurology, Uppsala University Hospital, Uppsala, Sweden.
Håkan AhlströmDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Alexander HammersKing's College London & Guy's and St Thomas' PET Centre, King's College, London, UK.
Mark LubberinkDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Uppsala University · SECentre de Recherche en Neurosciences de Lyon · FRCentre d'Exploration et de Recherche Médicale par Emission de Positons · FRGeneral Electric (Canada) · CAKing's College London · GBUniversity of Gothenburg · SEUppsala University Hospital · SE

Funding

Avtal om Läkarutbildning och Forskning 2011-6269Medical Research Council MR/N013042/1
6 · The paper itself

Abstract

backgroundA valid photon attenuation correction (AC) method is instrumental for obtaining quantitatively correct PET images. Integrated PET/MR systems provide no direct information on attenuation, and novel methods for MR-based AC (MRAC) are still under investigation. Evaluations of various AC methods have mainly focused on static brain PET acquisitions. In this study, we determined the validity of three MRAC methods in a dynamic PET/MR study of the brain.

methodsNine participants underwent dynamic brain PET/MR scanning using the dopamine transporter radioligand [

resultsFor BP

conclusionsBoth Maxprob- and ZTE-MRAC performed better than Atlas-MRAC when using a

Indexed as

AtlasBinding potentialDopamine transporterMaxProbMRACrCBFZTE

Identifiers

PMID33369700
PMCPMC7769756
OpenAlexW3111411334

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.