Evidence map›Paper›PMID 31182666›Full record

ArticleJournal of nuclear medicine technology2019

Quality Improvement Initiatives to Assess and Improve PET/CT Injection Infiltration Rates at Multiple Centers.

Terence Z Wong, Thad Benefield, Shane Masters, Jackson W Kiser, James Crowley, Dustin Osborne, Osama Mawlawi, James Barnwell, Pawan Gupta, Akiva Mintz and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of nuclear medicine technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

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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

14 authors.

Terence Z WongDuke University, Durham, North Carolina.
Thad BenefieldUniversity of North Carolina, Chapel Hill, North Carolina.
Shane MastersWake Forest Baptist Medical Center, Winston Salem, North Carolina.
Jackson W KiserCarilion Clinic, Roanoke, Virginia.
James CrowleyCarilion Clinic, Roanoke, Virginia.
Dustin OsborneRadiology/Molecular Imaging and Translational Research, University of Tennessee Graduate School of Medicine, Knoxville, Tennessee.
Osama MawlawiDepartment of Imaging Physics, M.D. Anderson Cancer Center, University of Texas, Houston, Texas.
James BarnwellWake Radiology, Raleigh, North Carolina.
Pawan GuptaDivision of Nuclear Medicine, Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA Health, Los Angeles, California.
Akiva MintzColumbia University Medical Center, New York, New York.
Kelley A RyanLucerno Dynamics, LLC, Cary, North Carolina; and.
Steven R PerrinLucerno Dynamics, LLC, Cary, North Carolina; and.
Ronald K LattanzeLucerno Dynamics, LLC, Cary, North Carolina; and.
David W TownsendA*STAR-NUS Clinical Imaging Research Centre, Singapore dnrdwt@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PET/CT radiotracer infiltration is not uncommon and is often outside the imaging field of view. Infiltration can negatively affect image quality, image quantification, and patient management. Until recently, there has not been a simple way to routinely practice PET radiopharmaceutical administration quality control and quality assurance. Our objectives were to quantify infiltration rates, determine associative factors for infiltration, and assess whether rates could be reduced at multiple centers and then sustained.

Indexed as

HumansInjectionsPositron Emission Tomography Computed TomographyQuality ControlRadiation DosageextravasationFDGinfiltrationPET/CTquality improvement

Identifiers

PMID31182666
PMCPMC6894099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.