Evidence map›Paper›PMID 38605540›Full record

ArticleJournal of applied clinical medical physics2024

An adult and pediatric size-based contrast administration reduction phantom study for single and dual-energy CT through preservation of contrast-to-noise ratio.

Jia Wang, Xinhui Duan, Usman Mahmood, Sarah Eva McKenney, Samuel Loren Brady

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
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

5 authors at 5 institutions in 1 country.

Jia WangDepartment of Environmental Health & Safety, Stanford University, Stanford, California, USA.
Xinhui DuanDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0001-8812-0768
Usman MahmoodDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Sarah Eva McKenneyDepartment of Radiology, University of California, Davis Medical Center, Sacramento, California, USA.
Samuel Loren BradyDepartment of Radiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, USA.
Cincinnati Children's Hospital Medical Center · USMemorial Sloan Kettering Cancer Center · USSouthwestern Medical Center · USStanford Health Care · USUniversity of California Davis Medical Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundGlobal shortages of iodinated contrast media (ICM) during COVID-19 pandemic forced the imaging community to use ICM more strategically in CT exams. PURPOSE: The purpose of this work is to provide a quantitative framework for preserving iodine CNR while reducing ICM dosage by either lowering kV in single-energy CT (SECT) or using lower energy virtual monochromatic images (VMI) from dual-energy CT (DECT) in a phantom study. MATERIALS AND

methodsIn SECT study, phantoms with effective diameters of 9.7, 15.9, 21.1, and 28.5 cm were scanned on SECT scanners of two different manufacturers at a range of tube voltages. Statistical based iterative reconstruction and deep learning reconstruction were used. In DECT study, phantoms with effective diameters of 20, 29.5, 34.6, and 39.7 cm were scanned on DECT scanners from three different manufacturers. VMIs were created from 40 to 140 keV. ICM reduction by lowering kV levels for SECT or switching from SECT to DECT was calculated based on the linear relationship between iodine CNR and its concentration under different scanning conditions.

resultsOn SECT scanner A, while matching CNR at 120 kV, ICM reductions of 21%, 58%, and 72% were achieved at 100, 80, and 70 kV, respectively. On SECT scanner B, 27% and 80% ICM reduction was obtained at 80 and 100 kV. On the Fast-kV switch DECT, with CNR matched at 120 kV, ICM reductions were 35%, 30%, 23%, and 15% with VMIs at 40, 50, 60, and 68 keV, respectively. On the dual-source DECT, ICM reductions were 52%, 48%, 42%, 33%, and 22% with VMIs at 40, 50, 60, 70, and 80 keV. On the dual-layer DECT, ICM reductions were 74%, 62%, 45%, and 22% with VMIs at 40, 50, 60, and 70 keV.

conclusionsOur work provided a quantitative baseline for other institutions to further optimize their scanning protocols to reduce the use of ICM.

Indexed as

Contrast MediaCOVID-19Phantoms, ImagingTomography, X-Ray ComputedAdultChildHumansImage Processing, Computer-AssistedRadiation DosageRadiography, Dual-Energy Scanned ProjectionSARS-CoV-2Signal-To-Noise RatioContrast Mediadual‐energy CTiodinated contrast mediaiterative reconstructionvirtual monochromatic images

Identifiers

PMID38605540
PMCPMC11087157
OpenAlexW4394757462

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.