Evidence map›Paper›PMID 31273483›Full record

ArticleEJNMMI research2019

Repeatability of tumor blood flow quantification with

Mads Ryø Jochumsen, Kirsten Bouchelouche, Katrine Bødkergaard Nielsen, Jørgen Frøkiær, Michael Borre, Jens Sörensen, Lars Poulsen Tolbod

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  8. Renal Potassium Excretion Visualized onNuclear medicine and molecular imaging · 2020
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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

7 authors at 2 institutions in 1 country.

Mads Ryø JochumsenDepartment of Nuclear Medicine and PET-Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 165, 8200, Aarhus N, Denmark. madsjoch@rm.dk.ORCID http://orcid.org/0000-0002-7676-2322
Kirsten BoucheloucheDepartment of Nuclear Medicine and PET-Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 165, 8200, Aarhus N, Denmark.
Katrine Bødkergaard NielsenDepartment of Public Health, Section for Biostatistics, Aarhus University, Aarhus, Denmark.
Jørgen FrøkiærDepartment of Nuclear Medicine and PET-Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 165, 8200, Aarhus N, Denmark.
Michael BorreDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Jens SörensenDepartment of Nuclear Medicine and PET-Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 165, 8200, Aarhus N, Denmark.
Lars Poulsen TolbodDepartment of Nuclear Medicine and PET-Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 165, 8200, Aarhus N, Denmark.
Aarhus University · DKAarhus University Hospital · DK

Funding

Dansk Kræftforskningsfond ID20823Health Research Fund of Central Denmark Region A1449Knud og Edith Eriksens Mindefond 62786P. Carl Petersens Fond 18072The Danish Cancer Society R79-A5204
6 · The paper itself

Abstract

backgroundNon-invasive tumor blood flow (TBF) quantification is a candidate approach for risk stratification and monitoring of prostate cancer patients. Validation data have recently been published on prostate TBF measurement with the widely used positron emission tomography (PET) flow tracer

methodsWe recruited 10 low-to-high-risk prostate cancer patients scheduled for clinical prostate-specific membrane antigen (PSMA) PET/computed tomography (CT) or magnetic resonance imaging. Pelvic and cardiac static and dynamic

resultsFor K1, standardized uptake values (SUV)max, SUVmean, and SUVpeak, prostate cancer

conclusionDynamic

Indexed as

82Rubidium-PETProstate cancerRepeatabilityTest-retestTumor blood flow

Identifiers

PMID31273483
PMCPMC6609677
OpenAlexW2954418695

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.