Rheumatology (Oxford, England) · 2024
Capi-score: a quantitative algorithm for identifying disease patterns in nailfold videocapillaroscopy.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Gracia Tello Borja Del Carmelo, Sáez Comet Luis, Lledó Gema, Freire Dapena Mayka, Mesa Miguel Antonio, Martín-Cascón Miguel, Guillén Del Castillo Alfredo, Martínez Robles Elena, Simeón-Aznar Carmen Pilar, Todolí Parra Jose Antonio, Varela Diana Cristina, Maldonado Vélez Genessis, Marín Ballvé Adela, Aramburu Llorente Jimena, Pérez Abad Laura, Ramos Ibáñez Eduardo
Аннотация
OBJECTIVES: 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.
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.