Evidence map›Paper›PMID 33532519›Full record

ReviewEuropean journal of radiology open2021

Dual energy imaging in cardiothoracic pathologies: A primer for radiologists and clinicians.

Amit Gupta, Elias G Kikano, Kaustav Bera, Dhiraj Baruah, Sachin S Saboo, Simon Lennartz, Nils Große Hokamp, Ali Gholamrezanezhad, Robert C Gilkeson, Kai R Laukamp

Open access · goldAbstract readReview
In one paragraph

Review in European journal of radiology open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

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  11. [Research progress on the identification of central lung cancer and atelectasis using multimodal imaging].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
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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

10 authors at 6 institutions in 2 countries.

Amit GuptaDepartment of Radiology, University Hospitals Cleveland Medical Center/Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA.
Elias G KikanoDepartment of Radiology, University Hospitals Cleveland Medical Center/Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA.
Kaustav BeraDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Dhiraj BaruahDepartment of Radiology, Medical University of South Carolina, Charleston, SC, USA.
Sachin S SabooDepartment of Radiology, University Of Texas Health Science Center, San Antonio, TX, USA.
Simon LennartzInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
Nils Große HokampInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
Ali GholamrezanezhadDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Robert C GilkesonDepartment of Radiology, University Hospitals Cleveland Medical Center/Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA.
Kai R LaukampInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
University Hospital Cologne · DEUniversity Hospitals of Cleveland · USCase Western Reserve University · USMedical University of South Carolina · USThe University of Texas Health Science Center at San Antonio · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in dual-energy imaging techniques, dual-energy subtraction radiography (DESR) and dual-energy CT (DECT), offer new and useful additional information to conventional imaging, thus improving assessment of cardiothoracic abnormalities. DESR facilitates detection and characterization of pulmonary nodules. Other advantages of DESR include better depiction of pleural, lung parenchymal, airway and chest wall abnormalities, detection of foreign bodies and indwelling devices, improved visualization of cardiac and coronary artery calcifications helping in risk stratification of coronary artery disease, and diagnosing conditions like constrictive pericarditis and valvular stenosis. Commercially available DECT approaches are classified into emission based (dual rotation/spin, dual source, rapid kilovoltage switching and split beam) and detector-based (dual layer) systems. DECT provide several specialized image reconstructions. Virtual non-contrast images (VNC) allow for radiation dose reduction by obviating need for true non contrast images, low energy virtual mono-energetic images (VMI) boost contrast enhancement and help in salvaging otherwise non-diagnostic vascular studies, high energy VMI reduce beam hardening artifacts from metallic hardware or dense contrast material, and iodine density images allow quantitative and qualitative assessment of enhancement/iodine distribution. The large amount of data generated by DECT can affect interpreting physician efficiency but also limit clinical adoption of the technology. Optimization of the existing workflow and streamlining the integration between post-processing software and picture archiving and communication system (PACS) is therefore warranted.

Indexed as

AI, artificial intelligenceBT, blalock-taussigCAD, computer-aided detectionCR, computed radiographyDECT, dual-energy computed tomographyDESR, dual-energy subtraction radiographyDual energy CTDual energy radiographyeGFR, estimated glomerular filtration ratekeV, kilo electron voltkV, kilo voltNIH, national institute of healthNPV, negative predictive valuePACS, picture archiving and communication systemPCD, photon-counting detectorPET, positron emission tomographyPhotoelectric effectPPV, positive predictive valueSNR, signal to noise ratioSPECT, single photon emission computed tomographySVC, superior vena cavaTAVI, transcatheter aortic valve implantationTNC, true non contrastVMI, virtual mono-energetic imagesVNC, virtual non-contrast images

Identifiers

PMID33532519
PMCPMC7822965
OpenAlexW3121583915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.