| Autor: |
Tello, Borja del Carmelo Gracia, Comet, Luis Sáez, Lledó, Gema, Dapena, Mayka Freire, Mesa, Miguel Antonio, Martín-Cascón, Miguel, Castillo, Alfredo Guillén del, Robles, Elena Martínez, Simeón-Aznar, Carmen Pilar, Parra, Jose Antonio Todolí, Varela, Diana Cristina, Vélez, Genessis Maldonado, Ballvé, Adela Marín, Llorente, Jimena Aramburu, Abad, Laura Pérez, Ibáñez, Eduardo Ramos |
| Předmět: |
|
| Zdroj: |
Rheumatology; Dec2024, Vol. 63 Issue 12, p3315-3321, 7p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
