Evidence map›Paper›PMID 35478214›Full record

ArticleScientific reports2022

Reproducibility between three-dimensional turbo spin-echo and two-dimensional dual inversion recovery turbo spin-echo for coronary vessel wall imaging in Kawasaki disease.

Koji Matsumoto, Hajime Yokota, Takafumi Yoda, Ryota Ebata, Hiroki Mukai, Yoshitada Masuda, Takashi Uno

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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. Imaging Evaluation of Kawasaki Disease.Current cardiology reports · 2022
    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

7 authors.

Koji MatsumotoDepartment of Radiology, Chiba University Hospital, 1-8-1, Inohana, Chuo-ku, Chiba, Japan. matumoto@chiba-u.jp.
Hajime YokotaDiagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Takafumi YodaDepartment of Radiology, Chiba University Hospital, 1-8-1, Inohana, Chuo-ku, Chiba, Japan.
Ryota EbataDepartment of Pediatrics, Graduate School of Medicine, Chiba University, Chiba, Japan.
Hiroki MukaiDepartment of Radiology, Chiba University Hospital, 1-8-1, Inohana, Chuo-ku, Chiba, Japan.
Yoshitada MasudaDepartment of Radiology, Chiba University Hospital, 1-8-1, Inohana, Chuo-ku, Chiba, Japan.
Takashi UnoDiagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance vessel wall imaging is desirable for evaluating Kawasaki disease (KD)-associated coronary arterial lesions. To evaluate the reproducibility of three-dimensional turbo spin-echo (3D-TSE) and two-dimensional dual inversion-recovery turbo spin-echo (2D-DIR-TSE) for coronary vessel wall imaging in KD. Ten patients were prospectively enrolled. Coronary vessel wall imaging with axial-slice orientation 3D-TSE and 2D-DIR-TSE were acquired for cross-sectional images in aneurysmal and normal regions. Lumen area (LA), wall area (WA), and normalized wall index (NWI) of cross-sectional images were measured in both regions. Reproducibility between 3D-TSE and 2D-DIR-TSE was evaluated via intraclass correlation coefficients (ICCs) and Bland-Altman plots. 48 points (aneurysmal, 27; normal, 21) were evaluated. There were high ICCs between 3D-TSE and 2D-DIR-TSE in LA (0.95) and WA (0.95). In aneurysmal regions, 95% limits of agreement were LA, WA, and NWI of - 29.9 to 30.4 mm

Indexed as

Coronary VesselsMucocutaneous Lymph Node SyndromeHumansImaging, Three-DimensionalMagnetic Resonance ImagingReproducibility of Results

Identifiers

PMID35478214
PMCPMC9046194

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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.