Evidence map›Paper›PMID 38206404›Full record

ArticleEuropean radiology2024

Reproducibility and accuracy of vessel wall MRI in diagnosing giant cell arteritis: a study with readers of varying expertise.

Jérôme El Haddad, Frédérique Charbonneau, Jessica Guillaume, Gaëlle Clavel, Thibaud Chazal, Guillaume Poillon, Alexia Tran, Alexandre Niro, Rémi Sore, Luca Litman-Roventa and 4 more

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Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

14 authors.

Jérôme El HaddadDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France. jerome.elhaddad@gmail.com.ORCID http://orcid.org/0009-0007-1351-5766
Frédérique CharbonneauDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France.
Jessica GuillaumeDepartment of Clinical Research, A. Rothschild Foundation Hospital, Paris, France.
Gaëlle ClavelDepartment of Internal Medicine, A. Rothschild Foundation Hospital, Paris, France.
Thibaud ChazalDepartment of Internal Medicine, A. Rothschild Foundation Hospital, Paris, France.
Guillaume PoillonDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France.
Alexia TranDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France.
Alexandre NiroDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France.
Rémi SoreDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France.
Luca Litman-RoventaDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France.
Kévin MaheDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France.
Samantha ChhourDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France.
Julien SavatovskyDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France.
Augustin LeclerDepartment of Neuroradiology, A. Rothschild Foundation Hospital, Paris, France. alecler@for.paris.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the reproducibility of vessel wall magnetic resonance imaging (VW-MRI) in diagnosing giant cell arteritis (GCA) among groups of radiologists with varying levels of expertise.

methodsThis institutional review board-approved retrospective single-center study recruited patients with suspected GCA between December 2014 and September 2021. Patients underwent 3 -T VW-MRI before temporal artery biopsy. Ten radiologists with varying levels of expertise, blinded to all data, evaluated several intracranial and extracranial arteries to assess GCA diagnosis. Interobserver reproducibility and diagnostic performance were evaluated.

resultsFifty patients (27 women and 23 men) with a mean age of 75.9 ± 9 years were included. Thirty-one of 50 (62%) had a final diagnosis of GCA.VW-MRI had an almost perfect reproducibility among expert readers (kappa = 0.93; 95% CI 0.77-1) and substantial reproducibility among all readers, junior and non-expert senior readers (kappa = 0.7; 95% CI 0.66-0.73; kappa = 0.67 95% CI 0.59-0.74; kappa = 0.65; 95% CI 0.43-0.88 respectively) when diagnosing GCA. Substantial interobserver agreement was observed for the frontal branch of superficial temporal artery. Moderate interobserver agreement was observed for the superficial temporal artery and its parietal branch, as well as ophthalmic arteries in all groups of readers. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy varied depending on the group of readers.

conclusionVW-MRI is a reproducible and accurate imaging modality for detecting GCA, even among less-experienced readers. This study advocates for the use of VW-MRI when diagnosing GCA even in less-experienced centers. CLINICAL RELEVANCE STATEMENT: VW-MRI is a reproducible and accurate imaging modality for detecting GCA, even among less-experienced readers, and it could be used as a first-line diagnostic tool for GCA in centers with limited expertise in GCA diagnosis. KEY POINTS: • Vessel wall magnetic resonance imaging (VW-MRI) is a reproducible and accurate imaging modality for detecting giant cell arteritis (GCA) in both extracranial and intracranial arteries. • The reproducibility of vessel wall magnetic resonance imaging for giant cell arteritis diagnosis was high among expert readers and moderate among less-experienced readers. • The use of vessel wall magnetic resonance imaging for giant cell arteritis diagnosis can be recommended even in centers with less-experienced readers.

Indexed as

Giant Cell ArteritisMagnetic Resonance ImagingTemporal ArteriesAgedAged, 80 and overClinical CompetenceFemaleHumansMaleObserver VariationReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityGiant cell arteritisImagingMagnetic resonance imaging

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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.