Evidence map›Paper›PMID 34630807›Full record

ArticleRadiology case reports2021

Carotid computed tomography angiography after cobalt-based alloy carotid artery stenting using ultra-high-resolution computed tomography with model-based iterative reconstruction.

Shingo Kayano, Hideki Ota, Yoshimichi Sato, Toshiki Endo, Kuniyasu Niizuma, Ichiro Suzuki, Tsuyoshi Kawamura, Kei Takase

Erratum issuedAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Shingo KayanoDepartment of Radiological Technology, Tohoku University Hospital, 1 1 Seiryo machi, Aoba ku, Sendai, Miyagi 980-8574, Japan.
Hideki OtaDepartment of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Yoshimichi SatoDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Toshiki EndoDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kuniyasu NiizumaDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Ichiro SuzukiDepartment of Neurosurgery, Hachinohe City Hospital, Hachinohe, Japan.
Tsuyoshi KawamuraDepartment of Neurosurgery, Hachinohe City Hospital, Hachinohe, Japan.
Kei TakaseDepartment of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In conventional carotid computed tomographic angiography, the artifacts of the stent vary depending on the structure and characteristics of the alloy type. Cobalt-based alloy stents have been reported to exhibit high artifacts, and accurate evaluation of the internal lumen can be difficult. Recently, ultra-high-resolution computed tomography scanner systems have become available for clinical practice. The primary features of this computed tomography scanner are a 0.25-mm detector row width and a 1024 × 1024 matrix. We report a case-series of carotid artery stenting using a cobalt-based alloy stent scanned by an ultra-high-resolution computed tomography scanner system and model-based iterative reconstruction. We also report that the combination of the ultra-high-resolution computed tomography scanner system with model-based iterative reconstruction would be useful to evaluate vessel patency after placement of a cobalt-based alloy stent.

Indexed as

Carotid artery stentingCobalt-based alloy stentsComputed tomography angiographyModel-based iterative reconstructionUltra-high-resolution computed tomography

Identifiers

PMID34630807
PMCPMC8493515

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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.