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  3. DWI scrolling artery sign for the diagnosis of giant cell arteritis: a pattern recognition approach.

DWI scrolling artery sign for the diagnosis of giant cell arteritis: a pattern recognition approach.

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DOI
10.48350/194702
Publisher DOI
10.1136/rmdopen-2023-003652
PubMed ID
38519109
Abstract
OBJECTIVES

To investigate the diagnostic accuracy of a pattern recognition approach for the evaluation of MRI scans of the head with diffusion-weighted imaging (DWI) in suspected giant cell arteritis (GCA).

METHODS

Retrospectively, 156 patients with suspected GCA were included. The 'DWI-Scrolling-Artery-Sign' (DSAS) was defined as hyperintense DWI signals in the cranial subcutaneous tissue that gives the impression of a blood vessel when scrolling through a stack of images. The DSAS was rated by experts and a novice in four regions (frontotemporal and occipital, bilaterally). The temporal, occipital and posterior auricular arteries were assessed in the T1-weighted black-blood sequence (T1-BB). The diagnostic reference was the clinical diagnosis after ≥6 months of follow-up.

RESULTS

The population consisted of 87 patients with and 69 without GCA; median age was 71 years and 59% were women. The DSAS showed a sensitivity of 73.6% and specificity of 94.2% (experts) and 59.8% and 95.7% (novice), respectively. Agreement between DSAS and T1-BB was 80% for the region level (499/624; kappa(κ)=0.59) and 86.5% for the patient level (135/156; κ=0.73). Inter-reader agreement was 95% (19/20; κ=0.90) for DSAS on the patient level and 91.3% (73/80; κ=0.81) on the region level for experts. For expert versus novice, inter-reader agreement for DSAS was 87.8% on the patient level (137/156; κ=0.75) and 91.2% on the region level (569/624; κ=0.77).

CONCLUSIONS

The DSAS can be assessed in less than 1 min and has a good diagnostic accuracy and reliability for the diagnosis of GCA. The DSAS can be used immediately in clinical practice.
Date Issued
2024-03-22
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Subjects
Giant Cell Arteritis Magnetic Resonance Imaging Vasculitis
Language(s)
en
Author(s)
Seitz, Luca Fabio  
Universitätsklinik für Rheumatologie und Immunologie  
Bucher, Susana
Bütikofer, Lukas  
Department of Clinical Research (DCR) - Statistics & Methodology (Bütikofer)  
Clinical Trials Unit Bern (CTU) - Statistics & Methodology (Bütikofer)  
Department of Clinical Research (DCR)  
Maurer, Britta  
Universitätsklinik für Rheumatologie und Immunologie - Fachbereich Rheumatologie  
Universitätsklinik für Rheumatologie und Immunologie  
Bonel, Harald Marcel  
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie (DIPR)  
Lötscher, Fabian  
Universitätsklinik für Rheumatologie und Immunologie  
Seitz, Pascal  
Universitätsklinik für Rheumatologie und Immunologie  
Additional Credits
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie (DIPR)  
Universitätsklinik für Rheumatologie und Immunologie  
Department of Clinical Research (DCR) - Statistics & Methodology (Bütikofer)  
Clinical Trials Unit Bern (CTU) - Statistics & Methodology (Bütikofer)  
Universitätsklinik für Rheumatologie und Immunologie - Fachbereich Rheumatologie  
Department of Clinical Research (DCR)  
Journal
RMD open
Publisher
BMJ Publishing Group
ISSN
2056-5933
Access(Rights)
open.access
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