Evidence map›Paper›PMID 28580532›Full record

ArticleNeuroradiology2017

Follow-up CT and CT angiography after intracranial aneurysm clipping and coiling-improved image quality by iterative metal artifact reduction.

Georg Bier, Malte Niklas Bongers, Johann-Martin Hempel, Anja Örgel, Till-Karsten Hauser, Ulrike Ernemann, Florian Hennersdorf

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Article in Neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

22 citing papers in PubMed, 34 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

7 authors at 1 institution in 1 country.

Georg BierDepartment of Diagnostic and Interventional Neuroradiology, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany. georg.bier@med.uni-tuebingen.de.
Malte Niklas BongersDepartment of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany.
Johann-Martin HempelDepartment of Diagnostic and Interventional Neuroradiology, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany.
Anja ÖrgelDepartment of Diagnostic and Interventional Neuroradiology, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany.
Till-Karsten HauserDepartment of Diagnostic and Interventional Neuroradiology, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany.
Ulrike ErnemannDepartment of Diagnostic and Interventional Neuroradiology, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany.
Florian HennersdorfDepartment of Diagnostic and Interventional Neuroradiology, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany.
University of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis paper aims to evaluate a new iterative metal artifact reduction algorithm for post-interventional evaluation of brain tissue and intracranial arteries.

methodsThe data of 20 patients that underwent follow-up cranial CT and cranial CT angiography after clipping or coiling of an intracranial aneurysm was retrospectively analyzed. After the images were processed using a novel iterative metal artifact reduction algorithm, images with and without metal artifact reduction were qualitatively evaluated by two readers, using a five-point Likert scale. Moreover, artifact strength was quantitatively assessed in terms of CT attenuation and standard deviation alterations.

resultsThe qualitative analysis yielded a significant increase in image quality (p = 0.0057) in iteratively processed images with substantial inter-observer agreement (ĸ = 0.72), while the CTA image quality did not differ (p = 0.864) and even showed vessel contrast reduction in six cases (30%). The mean relative attenuation difference was 27% without metal artifact reduction vs. 11% for iterative metal artifact reduction images (p = 0.0003).

conclusionsThe new iterative metal artifact reduction algorithm enhances non-enhanced CT image quality after clipping or coiling, but in CT-angiography images, the contrast of adjacent vessels can be compromised.

Indexed as

Cerebral AngiographyComputed Tomography AngiographyTomography, X-Ray ComputedAdultAgedAged, 80 and overAlgorithmsArtifactsContrast MediaEmbolization, TherapeuticFemaleHumansIntracranial AneurysmIopamidolMaleMetalsContrast MediaiomeprolIopamidolMetalsAneurysmArtifactsComputed tomographyComputed tomography angiographyHead

Identifiers

PMID28580532
OpenAlexW2621005448

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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.