Evidence map›Paper›PMID 27418472›Full record

ArticleAJNR. American journal of neuroradiology2016

Image Quality Required for the Diagnosis of Skull Fractures Using Head CT: A Comparison of Conventional and Improved Reconstruction Kernels.

S Takagi, M Koyama, K Hayashi, T Kawauchi

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

S TakagiFrom the Faculty of Health Sciences (S.T.), Hokkaido University, Hokkaido, Japan rt.stakagi@gmail.com.ORCID http://orcid.org/0000-0001-9931-0815
M KoyamaRadiological Center (M.K.), National Defense Medical College Hospital, Saitama, Japan.ORCID http://orcid.org/0000-0001-8532-9478
K HayashiDepartment of Radiology (K.H., T.K.), National Defense Medical College, Saitama, Japan.ORCID http://orcid.org/0000-0003-1092-2546
T KawauchiDepartment of Radiology (K.H., T.K.), National Defense Medical College, Saitama, Japan.ORCID http://orcid.org/0000-0001-8918-9265
National Defense Medical College · JPHealth Sciences University of Hokkaido · JPNational Defense Medical College Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeAlthough skull fractures are generally assessed on bone images obtained by using head CT, the combined multikernel technique that enables evaluation of both brain and bone through a change in the window settings of an image set has been reported. The purpose of this retrospective study was to determine the image quality required for the accurate assessment of skull fractures by using head CT. MATERIALS AND

methodsA random sample of 50 patients (25 nonfracture and 25 simple nondisplaced skull fractures) was selected, and sets of conventional brain and bone images and improved combined multikernel images were reconstructed (4614 images). Three radiologists indicated their confidence levels regarding the presence of skull fractures by marking on a continuous scale for each image set. The mean area under the receiver operating characteristic curve was calculated for each kernel, and the statistical significance of differences was tested by using the Dorfman-Berbaum-Metz method.

resultsAlthough a difference in the diagnostic performance of the 3 radiologists was suggested, the mean area under the curve value showed no significant differences among the 3 reconstruction kernels (

conclusionsThere was no significant difference in the diagnostic performance of brain, bone, and combined multikernel images for skull fractures. Skull fracture diagnosis is made possible by brain image assessments. Combined multikernel images offer the advantage of high-quality brain and bone images.

Identifiers

PMID27418472
PMCPMC7963790
OpenAlexW2465523490

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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.