Evidence map›Paper›PMID 31705664›Full record

ArticleMedical physics2020

Quantitative accuracy and dose efficiency of dual-contrast imaging using dual-energy CT: a phantom study.

Liqiang Ren, Kishore Rajendran, Cynthia H McCollough, Lifeng Yu

Abstract read
In one paragraph

Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Liqiang RenDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
Kishore RajendranDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
Lifeng YuDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
Mayo Clinic in Arizona · US

Funding

Multi-energy CT with Energy-integrating DetectorR21EB024071 · NIBIB · MAYO CLINIC ROCHESTER · PI YU, LIFENG · 2017 to 2018
$437k
NIBIB NIH HHS R21 EB024071NIH HHS R21 EB024071
6 · The paper itself

Abstract

purposeTo evaluate the quantitative accuracy and dose efficiency of simultaneous imaging of two contrast agents using dual-energy computed tomography (DECT), two imaging tasks each representing one potential clinical application were investigated in a phantom study: biphasic liver imaging with iodine and gadolinium, and small bowel imaging with iodine and bismuth.

methodsTo separate and quantify mixtures of two contrast agents using a single DECT scan, mixed iodine and gadolinium samples were prepared with the contrast enhancement values corresponding to the late arterial (iodine) and the portal-venous (gadolinium) phase for biphasic liver imaging. Mixed iodine and bismuth samples were prepared mimicking the arterial (iodine) and the enteric (bismuth) enhancement for small bowel imaging. For comparison to the reference condition of performing two single-energy CT (SECT) scans, contrast samples were prepared separately to mimic separate scans in the arterial/venous phase and arterial/enteric enhancement. Samples were placed in a 35 cm wide water tank and scanned using a third-generation dual-source DECT scanner with three tube potential pairs: 80/Sn150, 90/Sn150, and 100/Sn150 kV, all with default dose partitioning between two x-ray beams to acquire DECT data. The same scanner operated in a single-energy mode acquired SECT data (120 kV). Total radiation dose (CTDIvol) was matched for the single-scan DECT and the two-scan SECT protocols. The DECT protocol was followed by a generic image-based three-material decomposition method to determine the material-specific images, based on which concentrations of each basis material were quantified and noise levels were measured. To compare with the SECT images directly acquired with the SECT protocol, the concentration values in each contrast-specific image were converted to CT numbers at 120 kV (i.e., virtual SECT (vSECT) images). The noise level and noise power spectra differences between the SECT and vSECT images were compared to evaluate the dose efficiency of the single-scan DECT protocol. The impact of dose partitioning in the DECT protocol on quantitative dual-contrast imaging performance was also studied.

resultsFor each imaging task, contrast materials were accurately quantified against the nominal concentrations using the DECT data with strong correlation (R

conclusionsDECT can be used to simultaneously separate and quantify two contrast materials. However, compared to a two-scan SECT protocol, much higher radiation dose is needed in a single-scan DECT protocol to achieve the same image noise, especially for tasks involving the dual contrast of iodine and gadolinium.

Indexed as

Phantoms, ImagingRadiation DosageSignal-To-Noise RatioContrast MediaHumansIntestine, SmallTomography, X-Ray ComputedContrast Mediacomputed tomography (CT)dose efficiencydual-contrast imagingdual-energy CT (DECT)material decompositionsingle-energy CT (SECT)

Identifiers

PMID31705664
PMCPMC7015798
OpenAlexW2984196290

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Registered trials

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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.