Evidence map›Paper›PMID 39228939›Full record

ArticleRadiology case reports2024

Giant-cell arteritis on photon-counting detector CT: A case report.

Shunsuke Shibata, Misugi Urano, Nobuo Kitera, Haruka Noda, Shuntaro Isogai, Wenya Zhao, Toshihide Itoh, Tatsuya Kawai, Akio Hiwatashi

Abstract readCase Reports
In one paragraph

Article in Radiology case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Shunsuke ShibataDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Misugi UranoDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Nobuo KiteraDepartment of Radiology, Nagoya City University Hospital, Nagoya, Japan.
Haruka NodaDivision of Rheumatology, Department of Internal Medicine, Nagoya City University Hospital, Nagoya, Japan.
Shuntaro IsogaiDivision of Rheumatology, Department of Internal Medicine, Nagoya City University Hospital, Nagoya, Japan.
Wenya ZhaoDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Toshihide ItohDepartment of CT-Research and Collaboration, Siemens Healthinieers, Tokyo, Japan.
Tatsuya KawaiDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Akio HiwatashiDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 77-year-old woman presented to our hospital with a 2-week history of fever, headache, and induration along the bilateral superficial temporal arteries (STAs). The color Doppler ultrasonography of the STA showed a hypoechoic mural thickening surrounding a residual color flow. A contrast-enhanced photon-counting detector (PCD) CT demonstrated mural thickening and stenosis of the bilateral STAs. The patient underwent a biopsy of the right STA. Histopathological findings were consistent with giant cell arteritis (GCA). The patient's symptoms were temporarily relieved after initiation of steroid treatment, but jaw claudication occurred 2 months later. Contrast-enhanced CT showed improved vascular abnormalities of the STAs but new mural thickening and stenosis of the bilateral maxillary artery. Due to its higher resolution, image contrast, and lower noise, PCD-CT may have great potential in detecting, diagnosing, and monitoring GCA.

Indexed as

Cinematic rendering imageGiant cell arteritisMaxillary arteryPhoton-counting detector CTSuperficial temporal artery

Identifiers

PMID39228939
PMCPMC11367020

What OpenQuestion holds

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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.