Evidence map›Paper›PMID 33392024›Full record

ArticleQuantitative imaging in medicine and surgery2021

CT artifacts after contrast media injection in chest imaging: evaluation of post-processing algorithms, virtual monoenergetic images and their combination for artifact reduction.

Amit Gupta, Verena Carola Obmann, Michelle Jordan, Simon Lennartz, Markus Michael Obmann, Nils Große Hokamp, David Zopfs, Lenhard Pennig, Gina Fürtjes, Nikhil Ramaiya and 2 more

Abstract read
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Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Amit GuptaDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Verena Carola ObmannDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Michelle JordanDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Simon LennartzInstitute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Markus Michael ObmannClinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.
Nils Große HokampDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
David ZopfsInstitute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Lenhard PennigInstitute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Gina FürtjesCenter for Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Nikhil RamaiyaDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Robert GilkesonDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Kai Roman LaukampDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter injection into a brachial vein, high contrast media concentration in axillary and subclavian veins can cause artifacts that impair diagnostic utility. This study assessed artifact reduction by artifact-reduction-algorithms (ARA) and virtual-monoenergetic-images (VMI), as well as their combination (VMI

methodsForty-six spectral-detector-CT (SDCT) examinations of patients that received ARA-reconstructions due to perivenous-artifacts were included in this retrospective study. CI, ARA, VMI, and VMI

resultsHypo- and hyperdense artifacts showed significant improvement as evidenced by decreasing attenuation differences between artifact impaired and artifact-free reference tissue in ARA, VMI ≥80 keV, and VMI

conclusionsIn presence of perivenous-artifacts, ARA, VMI and their combination allow for significant artifact reduction; however, their combination and VMI as a standalone approach yielded best results and should therefore be used, if available.

Indexed as

algorithmsartifactscontrast mediadual-energy CTspectral-detector CT (SDCT)X-ray computed tomography

Identifiers

PMID33392024
PMCPMC7719936

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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.