Evidence map›Paper›PMID 28937491›Full record

ArticleJournal of computer assisted tomography

Improved Calcium Scoring at Dual-Energy Computed Tomography Angiography Using a High-Z Contrast Element and Novel Material Separation Technique.

Jack W Lambert, Yuxin Sun, Karen G Ordovas, Robert G Gould, Sizhe Wang, Benjamin M Yeh

Abstract read
In one paragraph

Article in Journal of computer assisted tomography. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Jack W LambertFrom the University of California, San Francisco, San Francisco, CA.
Yuxin Sun
Karen G Ordovas
Robert G Gould
Sizhe Wang
Benjamin M Yeh

Funding

Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Nanoparticle CT Contrast Agents for Reduced Radiation Dose and New Imaging ApplicR01EB015476 · NIBIB · GENERAL ELECTRIC GLOBAL RESEARCH CTR · PI EDIC, PETER, YEH, BENJAMIN M · 2013 to 2016
$3.4M
Preclinical Efficacy of Silicon-based Dual Energy CT Contrast MaterialR41DK104580 · NIDDK · NEXTRAST, INC. · PI BRADLEY, WILLIAM GUERIN · 2014 to 2014
$233k
NIBIB NIH HHS R01 EB015476NIDDK NIH HHS R41 DK104580
6 · The paper itself

Abstract

objectivesThe aim of this study was to compare the accuracy of existing dual-energy computed tomography (CT) angiography coronary artery calcium scoring methods to those obtained using an experimental tungsten-based contrast material and a recently described contrast material extraction process (CMEP).

methodsPhantom coronary arteries of varied diameters, with different densities and arcs of simulated calcified plaque, were sequentially filled with water, iodine, and tungsten contrast materials and scanned within a thorax phantom at rapid-kVp-switching dual-energy CT. Calcium and contrast density images were obtained by material decomposition (MD) and CMEP. Relative calcium scoring errors among the 4 reconstructed datasets were compared with a ground truth, 120-kVp dataset.

resultsCompared with the 120-kVp dataset, tungsten CMEP showed a significantly lower mean absolute error in calcium score (6.2%, P < 0.001) than iodine CMEP, tungsten MD, and iodine MD (9.9%, 15.7%, and 40.8%, respectively).

conclusionsNovel contrast elements and material separation techniques offer improved coronary artery calcium scoring accuracy and show potential to improve the use of dual-energy CT angiography in a clinical setting.

Indexed as

Contrast MediaPhantoms, ImagingCalcinosisComputed Tomography AngiographyImage EnhancementRadiography, Dual-Energy Scanned ProjectionReproducibility of ResultsContrast Media

Identifiers

PMID28937491
PMCPMC5860919

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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.