Evidence map›Paper›PMID 33338314›Full record

ArticleJournal of applied clinical medical physics2021

Procedure for optimal implementation of automatic tube potential selection in pediatric CT to reduce radiation dose and improve workflow.

Jacinta E Browne, Michael R Bruesewitz, Vrieze Thomas, Kristen B Thomas, Nathan C Hull, Cynthia H McCollough, Lifeng Yu

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. EANM procedural recommendations for managing the paediatric patient in diagnostic nuclear medicine.European journal of nuclear medicine and molecular imaging · 2023
    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.

Jacinta E BrowneDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Michael R BruesewitzDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Vrieze ThomasDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Kristen B ThomasDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Nathan C HullDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Lifeng YuDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is important to employ radiation dose reduction techniques in pediatric computed tomography (CT) to reduce potential risks of radiation-induced malignancy. Automatic tube potential (kV) selection tools have been developed and become available on many CT scanners, which select the optimum kV based on the patient size and clinical task to improve the radiation dose efficiency. However, its use in pediatric CT has been mostly empirical, following manufacturer's default recommendation without solid demonstration for quality improvement. This study aimed to implement an automatic tube potential tool (CAREkV, Siemens Healthcare) into routine pediatric CT practice, using the "Plan-Do-Study-Act" quality improvement process, in place of an existing kV/mAs technique chart. The design of this quality improvement project involved Plan-Do-Study-Act stages. Plan and Do stages identified the criteria for optimal automatic kV selection; a range of phantoms representing typical pediatric groups were scanned on a dual-source 128-slice scanner using a fast-pitch scanning mode. The identified CAREkV settings were implemented into the CT protocol and evaluated after a 6-month period. In the Study stage, an objective evaluation of the image metrics and radiation dose for two similar patient cohorts using CAREkV and the technique-chart, respectively, were compared. The kV selected, image quality and radiation dose determined by CAREkV were comparable to those obtained while using the technique-chart. The CAREkV was successfully implemented into our pediatric abdominopelvic CT practice. By utilizing the "PDSA" process optimal image quality and radiation dose reduction were achieved with an automatic kV selection tool to improve CT workflow.

Indexed as

Tomography, X-Ray ComputedChildHumansPhantoms, ImagingRadiation DosageTomography Scanners, X-Ray ComputedWorkflowautomatic tube potentialimage qualitypediatric abdominopelvic CT‘Plan-Do-Study-Act’ quality improvementradiation dose reduction

Identifiers

PMID33338314
PMCPMC7882104
OpenAlexW3110689386

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.