Systemic sclerosis & Raynaud's
Capi-score: a quantitative algorithm for identifying disease patterns in nailfold videocapillaroscopy
Authors' conclusion
The CAPI-score algorithm may become a tool that is useful in assigning DPs by overcoming the limitations of subjectivity.
Study context
- Population
- Nailfold videocapillaroscopy (NVC) specimens from SSc and RP patients examined by 9 capillaroscopistsNVCs (21,957 images)
- Participants
- 851 participants
- Outcome
- CAPI-score algorithm accuracy for DP categorization
Methodological detailssoftware-based analysis, consensus reference (≥2 of 3 interobservers)
- Software-based analysis
- Consensus reference (≥2 of 3 interobservers)
Performance
As reported in the abstract
Rule 1, SSc vs non-SSc, accuracy
0.88
Rules 2 and 3, SSc-early vs SSc-active vs SSc-late, accuracy
0.82
Rule 4, non-SSc normal vs non-SSc non-specific, accuracy
0.73
Further findings
Accuracy in NVCs with full interobserver consensus
- Accuracy improved when limited to NVCs with full consensus
Original publication
Capi-score: a quantitative algorithm for identifying disease patterns in nailfold videocapillaroscopy. Rheumatology (Oxford). Published 26 March 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →