Vasculitis & polymyalgia rheumatica
Diffusion-weighted imaging (DWI) scrolling artery sign for the diagnosis of giant cell arteritis: a pattern recognition approach
Authors' conclusion
The DSAS can be assessed in less than 1 min and has a good diagnostic accuracy and reliability for the diagnosis of GCA.
Study context
- Population
- Patients with suspected giant cell arteritis (GCA) undergoing head MRI with DWI; median age 71 years, 59% women87 with and 69 without GCA
- Participants
- 156 patients
- Comparison
- DWI-Scrolling-Artery-Sign rated by experts vs a novice, against clinical diagnosis after ≥6 months of follow-up
- Outcome
- Diagnostic accuracy of DSAS vs clinical diagnosis after ≥6 months of follow-up
Methodological detailsretrospective, pattern recognition approach
- Retrospective
- Pattern recognition approach
Performance
As reported in the abstract
Diagnostic accuracy of DSAS for GCA
| Test or model | Sensitivity | Specificity |
|---|---|---|
| DWI-Scrolling-Artery-Sign (DSAS) (experts) | 73.6% | 94.2% |
| DSAS (novice) | 59.8% | 95.7% |
Sensitivity
DWI-Scrolling-Artery-Sign (DSAS) (experts)73.6%
DSAS (novice)59.8%
Specificity
DWI-Scrolling-Artery-Sign (DSAS) (experts)94.2%
DSAS (novice)95.7%
Further findings
Agreement between DSAS and T1-BB
- Region level: 80% (499/624)
- κ=0.59
- Patient level: 86.5% (135/156)
- κ=0.73
Inter-reader agreement for DSAS, experts
- Patient level: 95% (19/20)
- κ=0.90
- Region level: 91.3% (73/80)
- κ=0.81
Inter-reader agreement for DSAS, expert vs novice
- Patient level: 87.8% (137/156)
- κ=0.75
- Region level: 91.2% (569/624)
- κ=0.77
Original publication
DWI scrolling artery sign for the diagnosis of giant cell arteritis: a pattern recognition approach. RMD Open. Published 22 March 2024. doi:10.
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