000135603 001__ 135603
000135603 005__ 20250923084426.0
000135603 0247_ $$2doi$$a10.1093/rheumatology/keae197
000135603 0248_ $$2sideral$$a138689
000135603 037__ $$aART-2024-138689
000135603 041__ $$aeng
000135603 100__ $$aGracia Tello, Borja del Carmelo$$uUniversidad de Zaragoza
000135603 245__ $$aCapi-score: a quantitative algorithm for identifying disease patterns in nailfold videocapillaroscopy
000135603 260__ $$c2024
000135603 5060_ $$aAccess copy available to the general public$$fUnrestricted
000135603 5203_ $$aObjectives
EULAR supports the use of nailfold videocapillaroscopy (NVC) for identifying disease patterns (DPs) associated with SSc and RP. Recently, EULAR proposed an easy-to-manage procedure, a so-called Fast Track algorithm, for differentiating SSc patterns from non-SSc patterns in NVC specimens. However, subjectivity among capillaroscopists remains a limitation. Our aim was to perform a software-based analysis of NVC peculiarities in a cohort of samples from SSc and RP patients and, subsequently, build a Fast Track–inspired algorithm for identifying DPs without the constraint of interobserver variability.
Methods
NVCs were examined by 9 capillaroscopists. Those NVCs whose DPs were consensually agreed upon (by ≥2 out of 3 interobservers) were subsequently analysed using in-house–developed software. The results for each variable were grouped according to the consensually agreed-upon DPs in order to identify useful hallmarks for categorizing them.
Results
A total of 851 NVCs (21 957 images) whose DPs had been consensually agreed upon were software-analysed. Appropriate cut-offs set for capillary density and percentage of abnormal and giant capillaries, tortuosities and haemorrhages allowed DP categorization and the development of the CAPI-score algorithm. This consisted of four rules: Rule 1, SSc vs non-SSc, accuracy 0.88; Rules 2 and 3, SSc-early vs SSc-active vs SSc-late, accuracy 0.82; Rule 4, non-SSc normal vs non-SSc non-specific, accuracy 0.73. Accuracy improved when the analysis was limited to NVCs whose DPs had achieved full consensus between the interobservers.
Conclusion
The CAPI-score algorithm may become a tool that is useful in assigning DPs by overcoming the limitations of subjectivity.
000135603 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000135603 590__ $$a4.4$$b2024
000135603 592__ $$a1.721$$b2024
000135603 591__ $$aRHEUMATOLOGY$$b9 / 58 = 0.155$$c2024$$dQ1$$eT1
000135603 593__ $$aRheumatology$$c2024$$dQ1
000135603 593__ $$aPharmacology (medical)$$c2024$$dQ1
000135603 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000135603 700__ $$0(orcid)0000-0002-9868-6498$$aSáez Comet, Luis$$uUniversidad de Zaragoza
000135603 700__ $$aLledó, Gema
000135603 700__ $$aFreire Dapena, Mayka
000135603 700__ $$aMesa, Miguel Antonio
000135603 700__ $$aMartín-Cascón, Miguel
000135603 700__ $$aGuillén del Castillo, Alfredo
000135603 700__ $$aMartínez Robles, Elena
000135603 700__ $$aSimeón-Aznar, Carmen Pilar
000135603 700__ $$aTodolí Parra, Jose Antonio
000135603 700__ $$aVarela, Diana Cristina
000135603 700__ $$aMaldonado Vélez, Genessis
000135603 700__ $$0(orcid)0000-0002-7815-8356$$aMarín Ballvé, Adela$$uUniversidad de Zaragoza
000135603 700__ $$aAramburu Llorente, Jimena
000135603 700__ $$aPérez Abad, Laura
000135603 700__ $$aRamos Ibáñez, Eduardo
000135603 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000135603 773__ $$g63, 12 (2024), 3315–3321$$pRheumatology (Oxford)$$tRheumatology (Oxford)$$x1462-0324
000135603 8564_ $$s526183$$uhttps://zaguan.unizar.es/record/135603/files/texto_completo.pdf$$yVersión publicada
000135603 8564_ $$s2703534$$uhttps://zaguan.unizar.es/record/135603/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000135603 909CO $$ooai:zaguan.unizar.es:135603$$particulos$$pdriver
000135603 951__ $$a2025-09-22-14:39:54
000135603 980__ $$aARTICLE